Skip to main content
The NCI Community Hub will be retiring in May 2024. For more information please visit the NCIHub Retirement Page:

NASEM’s report on Digital Twins is now available!

“Foundational Research Gaps & Future Directions for Digital Twins,” published by the National Academies of Sciences, Engineering, and Medicine (NASEM) identifies cross-sector challenges and recommendations to support this potentially transformative approach for biomedical research. Priorities include development of multi-agency collaborations with industry to advance the mathematical, statistical, and computational…



Request for Information: Calling all Researchers and Healthcare Community Contributors

NEW NCI Childhood Cancer Data Initiative (CCDI) Request for Information (RFI) on Electronic Health Record (EHR) data! Responses due using the submission webform by February 29, 2024.  NCI’s CCDI invites participation from all stakeholders across the cancer research and health care community including vendors and developers in understanding information on existing capabilities for automated EHR…



News Archive

05/23/2023: The AIM-AHEAD program launched six open funding and fellowship opportunities at the intersection of AI/ML and health disparities.  These opportunities are primarily aimed at institutions/organizations that serve underserved and underrepresented populations.

1. Call for Proposals: Consortium Development Projects to Advance Health Equity

2. Call for Proposals: Data and Infrastructure Capacity Building

3. Call for Proposals: Program for Artificial Intelligence Readiness (PAIR)

4. Call for Proposals: Hub-Specific Pilot Projects

5. Research Fellowship (Cohort #2)

6. Leadership Fellowship (Cohort #2)

Key Dates

Letter of Intent Due Date: May 10th, 2023

Application Due Date: June 20, 2023

Earliest Start Date: September 1, 2023

For more detailed information about the call for proposals, please follow the link: AIM-AHEAD Calls for Proposals.  

Questions for these Call for Proposals may be directed to or through the help desk:

05/19/2023: Registration is now open for the Summer 2023 Human Tumor Atlas Network (HTAN) hybrid meeting on June 12-13, 2023Meeting Website. The Summer 2023 HTAN meeting will take place virtually and at the Broad Institute in Cambridge, MA. Participants outside of the HTAN program are welcome and highly encouraged to join the meeting virtually to learn more about HTAN and interact with HTAN investigators. The two-day meeting will highlight the HTAN atlases that are currently available and include presentations from investigators outside of HTAN that have employed HTAN data and resources in their own projects.

04/07/2023: Celebrate World Quantum Day with the Department of Energy (DOE) Office of Science (SC) webinar on April 14, 2023, at 12:00 PM ET. One of the speakers, Dr. Kathleen Hamilton, a research scientist at Oak Ridge National Laboratory and the Exascale Computing Project’s CANDLE team, will share her work to port the natural language processing tools from MOSSAIC to quantum computers under the Oak Ridge Quantum Computing User Program (QCUP). Register for the webinar.

04/06/2023: The NIH Common Fund issued two new notice of funding opportunity announcements from the Common Fund Data Ecosystem (CFDE): OTA-23-004 (due date: May 30, 2023) and RFA-RM-23-002 (due date: June 28, 2023). The purpose of these funding announcements is to establish the CFDE Data Resource Center, Knowledge Center, and Integration and Coordination Center. These centers will provide technical and administrative coordination and support to enable broad use of the data sets and knowledge generated by Common Fund programs by establishing platforms to enhance use of Common Fund data sets and integrate knowledge networks. 

NIH Common Fund Data Ecosystem (CFDE) Data Resource Center and Knowledge Center (OT2) (OTA-23-004): This funding opportunity will establish the CFDE Data Resource Center and Knowledge Center, which will each act to enable broad use of the data sets and knowledge generated by Common Fund programs. The CFDE Data Resource Center will develop and maintain the CFDE Portal to enable users to learn about CFDE resources and query Common Fund data. The CFDE Knowledge Center will establish a knowledge network platform that integrates knowledge from different Common Fund programs to amplify their impact and improve accessibility to a wide user community. Applicants may choose to apply to establish either the Data Resource Center, the Knowledge Center, or both. 

Integration and Coordination Center for the Common Fund Data Ecosystem (U54 Clinical Trial Not Allowed) (RFA-RM-23-002): This funding opportunity seeks applications to establish an Integration and Coordination Center to support the CFDE. This center will liaise with Common Fund programs within CFDE, coordinate across other CFDE centers, develop data sustainability plans, and ensure continuous improvement through an annual evaluation program.  

03/09/2023: NIH and NCI have issued several Notices of Special Interest with upcoming deadlines:

Notice Number

NOSI Title


Publication Date

First Available Due Date


Notice of Special Interest (NOSI): Administrative Supplements to Support the Exploration of Cloud in NIH-supported Research





Notice of Special Interest (NOSI): Administrative Supplements to Enhance Software Tools for Open Science





Notice of Special Interest (NOSI): Administrative Supplements to Support Collaborations to Improve the AI/ML-Readiness of NIH-Supported Data




03/03/2023: Request for Information (RFI): NIH invites the research community to give input on the state of postdoctoral research training and career progression infrastructure in biomedical science developed by a working group of the NIH Advisory Committee to the Director. NIH is particularly interested in hearing from trainees (e.g., graduate students, postdocs) about promising solutions to address current challenges affecting the postdoctoral trainee community. All comments must be submitted electronically on the submission websiteResponses must be received by 11:59:59 pm (ET) on April 14, 2023.

In support of the RFI, NIH is also hosting a series of listening sessions to hear from the community about their experiences with and perspectives on current infrastructure and share input on potential promising solutions to the fundamental challenges faced by the postdoctoral trainee community.

Wednesday, March 8, 12:30 - 1:30 PM ET: Role, duration, structure, and value of the academic postdoc, including the effects on underrepresented populations

Friday, March 10, 1:30 - 2:30 PM ET: International trainee concerns

Friday, March 17, 12:30 - 1:30 PM ET: Compensation and benefits, including childcare and dependent care

Monday, March 20, 1:30 - 2:30 PM ET: Job security, career prospects, and quality of life.

Register for these listening sessions.

03/02/2023: Registration is now open for Multiscale Modeling Consortium celebrates 20 years of the Interagency Modeling and Analysis Group (IMAG):  Lessons from the past that guide the future at the NIH Campus in Bethesda, MD, June 28-29, 2023. Hybrid option available. Agenda available.

May 1st - Travel Award applications received on May 1st will receive full consideration.  Awards will be notified on May 15th.  

May 15th (11:59pm EDT) - All poster abstracts due.  Abstract acceptance will be notified on June 1st.

June 1st - Last day to register online

Visit for details.

02/24/2023: The Luddy School of Informatics, Computing, and Engineering at Indiana University (IU) Bloomington invites applications for two open rank tenure track/tenured professor positions in Intelligent Systems Engineering (ISE) to begin August 1, 2023, in the area of technology and research related to next-generation biomedical digital twins. See for information on the positions. This search is part of a broad collaborative initiative to create key hardware and software components of next-generation digital twins for research, bioengineering and clinical application. Applications received by March 3, 2023 will receive full consideration; however, the search will remain open until suitable candidates are found.

02/07/2023: Submit Your Manuscript for a special issue of Cancers: “Modeling Strategies for Drug Response Prediction in Cancer.”

Increase the visibility of your research in deep learning-based drug response prediction by submitting a manuscript to this special issue of Cancers (IF: 6.575, ISSN 2072-6694), guest edited by Rick L. Stevens. Cancers is an international, peer-reviewed, open access journal of oncology, published semimonthly online by MDPI. This special issue will focus on “Modeling Strategies for Drug Response Prediction in Cancer,” including all aspects of cancer drug response modeling from biological and data considerations to computational and algorithmic considerations. This special issue provides a great opportunity to amplify awareness of your research in this rapidly expanding community. Submission Deadline: July 31, 2023

For additional information and submission details, please see For more information about the NCI-DOE Collaboration, the IMPROVE project or how to contribute—or use—models curated by the IMPROVE team, please contact

02/03/2023: The National Cancer Institute (NCI) is hosting a virtual workshop focused on methods to address data limitations for applying artificial intelligence approaches in cancer research. The Cancer AI Research: Computational Approaches Addressing Imperfect Data workshop will run April 3-4, 2023, from 11 AM - 5 PM ET each day.

The goals of this workshop are to (1) examine the state of the science for AI methods designed to operate on noisy, complex, or low-dimensional data; (2) explore how these methods may be applied to key areas of cancer research; and (3) discuss processes for identifying the biological questions that will motivate further advances in machine learning. This workshop will highlight the importance of leveraging advances across fields to accelerate cancer research and discovery through AI.

This virtual workshop is organized around five sessions that span topics including structure prediction; cellular perturbation; cell-cell interactions and tissue organization; as well as clinical and real-world data. These sessions will cover the cancer research continuum from cancer biology to clinical and implementation research. Sessions will include a mix of presentations and discussions.

This is an open workshop. Please register by March 31 if you’re interested in attending.

02/02/2023: The NIH ScHARe social science data repository and research collaboration platform has been launched. This innovative ScHARe platform will:

  • host a wealth of social determinants of health and other social science datasets
  • provide cloud computing tools and secure workspaces to allow easy, low-cost analysis of these data
  • foster collaborations to develop AI bias mitigation strategies and advance health disparity and health care delivery research using big data

The ScHARe platform also offers training through its Think-a-Thon interactive webinar series. Think-a-Thons are for everyone interested in health disparities and health care delivery research, as well as data scientists who want to engage in practical applications of AI or address bias mitigation strategies. All disciplines and levels of background knowledge are welcome!

The first Think-a-Thon is scheduled for Wednesday, February 15 at 2:30 PM (ET). This event will focus on:

  • The basic data science, cloud computing, and AI concepts behind ScHARe
  • Technology benefits and concerns in cloud computing research collaborations

Register today to attend this event! Future Think-a-Thons will foster research collaborations, provide training in the use of cloud resources and advanced artificial intelligence bias mitigation tools, and more! Check out the full webinar schedule

01/17/2023: Attend Opportunities and Challenges for Digital Twins in Biomedical Sciences - A Workshop. The National Academies of Sciences, Engineering, and Medicine will hold a workshop on the use of digital twins for biomedical research on Monday, January 30, 2023 from 10 am to 4:30 pm ET. During the workshop, speakers and participants will discuss the definition of a digital twin within the context of biomedical research and identify current methods for their development and use. Register for the workshop. Workshop panels will address digital twins across different scales, including digital twins at the cellular, organ, whole human, and population levels. Panelists will discuss key technical challenges and opportunities for scalable digital twins, such as uncertainty quantification, data visualization, and privacy and ethics considerations. The workshop will also explore connections to fields outside the biomedical domain. This event is one of three input-gathering workshops organized as part of a larger National Academies’ study on research gaps and future directions for digital twins.  Learn more and sign up for updates on the study website.

12/16/2022: Read the blog post by Tony Kerlavage, Director, NCI Center for Biomedical Informatics and Information Technology, Growing the Field—NCI Fellowship Opportunities in Data Science. "According to Jobs on the Rise, a recent LinkedIn report, 150 million technology related jobs will be added across the globe over the next 5 years, including data science specialists, artificial intelligence (AI) practitioners, and engineers. And this red-hot job market isn’t likely to slow down. The U.S. Bureau of Labor Statistics estimates that data science and analyst job opportunities will continue to grow at a rate of 22% in the coming years, well above average for other occupations."

12/06/2022: The NCI Center for Biomedical Informatics and Information Technology (CBIIT) training program invites you to attend an upcoming webinar on Informatics Technology for Cancer Research (ITCR) and scientific software trainings. On Thursday, December 8, 2022, 10:00-11:00 a.m. ET, attend Advanced Ingenuity Pathway Analysis by Qiagen featuring speaker Shawn Price, Field Application Scientist. Learn how to leverage Activity Plot, Pattern Search, Comparison Analysis, Analysis Match, and Land Explorer. To register.

11/28/2022: Deadline extended for minisymposium expressions of interest to November 30, 2022: For this special call, the PASCS23 Conference welcomes minisymposium proposals targeting scientific computing applications and methods in all areas related to the applied social sciences and humanities (research software engineering, behavioural, economic, legal, political and business sciences, philosophy, languages and the arts) and to life sciences. The Conference is co-sponsored by the Swiss National Supercomputing Centre (CSCS - a unit of ETH Zurich) and the Association for Computing Machinery (ACM). The conference is managed by CSCS. PASC23 will be held from June 26 to 28, 2023 at the Congress Center Davos, located in Davos, Switzerland.

10/18/2022: iCURE Accepting Applications Until December 15, Will Host November 1 Webinar. The Intramural Continuing Umbrella of Research Experiences (iCURE) program is now accepting applications through December 15, 2022 for Fall 2023 research experiences! iCURE provides mentored research experiences for qualified students and scientists from diverse backgrounds on the NCI campuses in Bethesda, Rockville and Frederick, MD. The program offers:

  • Two-year awards for post-baccalaureate (including post-Master's) individuals
  • Two-year awards for graduate students
  • Three-year awards for postdoctoral fellows
  • Professional development and career support
  • Connection to an extensive and sustaining mentoring network

iCURE will hold a pre-application webinar on Tuesday, November 1, 2022, from 4:00-5:00 pm Eastern. Prospective applicants are encouraged to register now.

09/26/2022: NIH launched the Long COVID Computational Challenge, which will award up to $500k in support of data-driven solutions that help us understand the risks of developing the condition. The primary objective of the Long COVID Computational Challenge (L3C) is to focus on the prognostic problem by developing AI/ML models and algorithms that serve as open-source tools for using structured medical records to identify which patients infected with SARS-CoV-2 have a high likelihood of developing PASC/Long COVID. For more information:

09/08/2022: Apply for the NCI Early Investigator Advancement Program. The Early Investigator Advancement Program (EIAP) will accept applications from October 1 – November 1, 2022 for its second cohort of EIAP Scholars. With the support of the Equity Council, NCI launched EIAP in late 2021 to facilitate the advancement of scientists from diverse backgrounds to become independent investigators. Each year, EIAP supports the professional and career development of a cohort of eligible and qualified Early Stage Investigators and New Investigators from institutions across the country. Program staff will hold the EIAP Pre-Application Webinar on October 11, 2022 at 3:00 pm Eastern. Prospective applicants are encouraged to register. The target start date will be March 1, 2023. Visit the EIAP webpage to learn about the first cohort and access information about eligibility, application instructions, and the pre-application webinar.

08/29/2022: Register For Dr. Jill Barnholtz-Sloan's Two Seminar Series on Big Data. Tune into these virtual sessions where Dr. Barnholtz-Sloan, the National Cancer Institute's Associate Director for Informatics and Data Science, in the Center for Biomedical Informatics & Information Technology, discusses the impact big data has had on advancing cancer research during two Seminar Series at the University of Alabama at Birmingham. O'Neal Research Seminar Presents: Leveraging Big Data to Help Us Understand Brain TumorsSeptember 7, 2022, 2:00 p.m.-3:00 p.m. ET, Read more and register. PowerTalk Seminar Series Presents: #DataMatters- Leveraging Big Data for Cancer Discovery and Impact, September 9, 2022, 10:00 a.m.-11:00 a.m. ET, Read more and register.

08/25/2022: A National Academies of Sciences, Engineering, and Medicine-appointed ad hoc committee will conduct a study to identify needs and opportunities to advance the mathematical, statistical, and computational foundations of digital twins in applications across science, medicine, engineering, and society. The ad hoc committee will conduct three public workshops and other data-gathering activities to inform its findings, conclusions, and recommendations, which will be provided in the form of a consensus report. The public workshops will explore the methods, practices, use cases, and challenges for the development and use of digital twins in three separate contexts: biomedical domains, Earth and environmental systems, and aerospace engineering. The presentations and discussions during the workshops will be summarized and published in three separate Proceedings of a Workshop: In Brief documents. The study will run from August 2022 through January 2024 and is sponsored by NIH, DOE, NSF and DoD. Visit the NASEM webpage for more information.

08/17/2022: Register for the AI in Cancer Research and Clinical Care Symposium- Sept 20-22, Frederick, MD. Join international thought leaders in-person at the upcoming Frederick National Laboratory for Cancer Research and Hood College symposium and share in discussions on how the promise of AI is being transformed into reality across the spectrum of cancer research and clinical care. Introductory remarks by Dr. Doug Lowy, Acting Director NCI. Setting the stage with a keynote presentation by Dr. Keith Yamamoto, AAAS President and long-time biomedical visionary from the University of California, San Francisco, the symposium is being held September 20-22, 2022, on the beautiful Hood College campus in Frederick, Maryland. Registration is open with attendance limited. Register today! #ai #cancerresearch #cancertreatment #clinicalcare #FrederickMD

07/22/2022: Are you an academic scientist ready to commercialize your cancer technology through entrepreneurship? Apply for the NCI Small Business Transition Grant to help you jump from academia to industry. This unique fast-tracked funding opportunity begins as a Phase I Small Business Technology Transfer (STTR) award and transitions into to a Phase II Small Business Innovation Research (SBIR) award. Awardees will receive up to $400,000 for Phase I STTR and up to $2 million for Phase II. For more information, please visit the Small Business Transition Grant page at Applications due August 22, 2022.

07/07/2022: The DataWorks! Prize Team is seeking researchers to participate as evaluators. Prospective evaluators should be members of the biological and biomedical research community who can contribute their expertise through review and scoring of prize applications. Evaluators will spend an anticipated 5-8 hours completing their evaluations. Eligible evaluators will be compensated $200 for completing round one evaluation. Register to be an evaluator. Evaluators will be matched with applications on July 25, 2022.

06/28/2022: Two Opportunities with NIH’s AIM-AHEAD Coordinating Center: AIM-AHEAD Consortium is hosting the AI for Health Equity 2022 Virtual Symposium (AIHES2022), a national NIH-funded event featuring a workshop series. AIM-AHEAD Fellowship Program in Leadership Applications Now Open: The AIM-AHEAD Fellowship Program in Leadership will engage a diverse group of participants from under- represented populations to actively participate in mentored didactic and experiential educational activities to convey the leadership competencies necessary to promote and achieve the strategic imperatives of AIM-AHEAD. The AIM-AHEAD Coordinating Center invites applications for a Leadership Fellowship in Artificial Intelligence/Machine Learning (AI/ML) to Advance Health Equity and Researcher Diversity. The overarching goal of AIM-AHEAD is to increase the participation and engagement of researchers and communities currently underrepresented in AI/ML to utilize the power of AI/ML to achieve health equity through mutually beneficial partnerships. Application deadline: July 22, 2022. Apply Today! The AIM-AHEAD Coordinating Center is funded by NIH to increase researcher diversity and health equity in the field of artificial intelligence/machine learning.

06/28/2022: Compete in the MICCAI 2022 Federated Learning Breast Density Challenge. Register for the Challenge: Submit your federated learning (FL) algorithm to the Breast Density FL Challenge! Data scientists, informaticists, and medical physicists are invited to develop the best, most generalizable models for breast density estimation using distributed or federated learning. During the challenge, participants will develop, train, and test models against digital mammographic imaging screening trial (DMIST) data from more than 33 institutions totaling to 100,000 images from more than 21,000 patients. Participants can submit their models for ranking and validation starting on August 5, 2022. Winners will share their proceedings at the 2022 Medical Image Computing and Computer Assisted Intervention (MICCAI) Conference. For additional information

06/23/2022: Register to attend the 2022 Technology Showcase. The annual Technology Showcase, scheduled for September 7, 2022, will highlight how to work with the National Cancer Institute (NCI) and Frederick National Laboratory. It will feature technologies being developed at the NCI and FNL to encourage start-up company formation, technology licensing and collaborations. 

06/22/2022: Register for the Data + AI Summit, June 27-30, 2022, San Francisco + Virtual! Registration is FREE for the world’s largest data and AI conference! View the agenda– four days packed with keynotes by industry visionaries, technical sessions, hands-on training, and networking.  “Building the modern data stack with Lakehouse.” Contact organizers@dataaisummit.comor

06/14/2022: The Division of Radiation and Cancer Biology in the Department of Radiation Oncology at Stanford University seeks a Ph.D. to join the Department as an Assistant Professor in the Non-Tenure Line (Research). Stanford seeks applicants committed to developing an academic program focused on computational oncology in areas relevant to the field of radiation therapy (e.g. radiation biology, treatment response prediction, cancer immunology, cancer detection, etc.). Applicants must have completed a Ph.D. and postdoc in the area of computational oncology. Applicants should also have expertise in development and application of machine learning/artificial intelligence approaches for translational cancer research and demonstrated prior substantial scholarly contributions in these areas. For more information:

05/19/2022: U.S. Department of Energy’s INCITE program seeks proposals for 2023: INCITE’s open call provides an opportunity for researchers to pursue transformational advances in science and technology through large allocations of computer time and supporting resources at the Argonne Leadership Computing Facility (ALCF) and the Oak Ridge Leadership Computing Facility (OLCF). Both are DOE Office of Science user facilities located at DOE’s Argonne National Laboratory and Oak Ridge National Laboratory, respectively. The deadline to apply is June 17.

05/18/2022: Frederick National Laboratory for Cancer Research issued a request for proposal. To further advance AI in Medical Imaging (AIMI) large datasets, acquired through routine standard of care, are needed to train and evaluate the performance of the ML/AI algorithms. The datasets need to be correctly de-identified to maintain patient privacy while at the same time preserving as much scientifically relevant information as possible. Large datasets from the existing standard of care radiology practice, along with companion clinical data, are needed for the training and development of ML/AI algorithms by the research community. Offerors must contact Connor Cigrang, Subcontract Administrator, for the official RFP Document and Attachments. Interested vendors must advise the SCA of intention to bid no later than 5PM, May 23, 2022. All questions and requests for clarification are due by 5PM, May 23, 2022 and will be answered no later than 5PM, Tuesday, May 31, 2022. There will be no Offeror Teleconference.

04/27/2022: Register for the NCI virtual meeting on Machine Learning and Health Outcomes in Cancer Care Delivery Research, on May 16 – 17, 11:00 am – 5:00 pm ET! Join multidisciplinary clinicians and researchers to identify scientific gaps, barriers, and opportunities in this emerging area of cancer-focused healthcare research. Visit the website for more information.

04/21/2022: ATOM Consortium’s next webinar is happening on May 18, featuring speaker Jim Brase, ATOM Co-lead. Learn how computing and machine learning can accelerate molecular optimization for cancer and infectious disease therapeutics. Register here.

04/20/2022: "Getting a Grant from NCI" Webinar: TOMORROW from 2:00 to 3:00 p.m. ET, Dr. Dan Gallahan (the Director of the NCI Division of Cancer Biology) will be joined by Drs. Joanna Watson (NCI), Amy Rubinstein (NIH Center for Scientific Review), and Shannon Hughes (NCI) for a special virtual session on NCI grant policies. It will cover considerations for new and experienced applicants, as well as information about peer review. Register here

03/31/2022: Attend the NCI-DOE Collaboration IMPROVE Bidders Conference on April 6, 2022 – 3 pm – 4:30 pm ET

Interested in the RFP for the Innovative Methodologies and New Data for Predictive Oncology Model Evaluation (IMPROVE) project?

Register for the Project Bidders Conference on April 6, 2022, 3 p.m. to 4:30 p.m., ET! Successful bidders to the RFP will be awarded one-year contracts (with up to two additional option years) to collaborate on the curation of publicly available deep learning models and data for therapeutic outcome prediction in order to develop a deep learning model comparison framework. Funding will be provided to multiple groups by the National Cancer Institute through the Frederick National Laboratory for Cancer Research. Registration deadline: 5 p.m., ET – Tuesday, April 5, 2022. For more information, visit the event site.

03/17/2022: Attend the Maximizing the Value of Cancer Data Virtual Symposium, April 4, 2022, Noon to 5 p.m. ET. The meeting is conducted by Ci4CC, the nonprofit society providing a focused forum for NCI Designated & Community Cancer Centers. For details: 


Speakers will focus on:

  • Precision Oncology Platforms
  • Cancer Real World Evidence and Advanced Pathways in Oncology
  • Oncology Data Standards
  • Role of AI/ML in Omics supporting cancer research and care
  • Diversity, equity, and inclusion in Cancer Informatics – how do we change and improve?

02/17/2022: Attend Precision Medicine Applications in Radiation Oncology, a meeting sponsored by The Cancer informatics for Cancer Centers (Ci4CC), August 29–31, 2022. This in-person symposium in Santa Barbara, CA will feature invited talks on innovative applications of computational, quantitative, and machine learning approaches to enhance the precision of biomarker development, theranostics, decision support, and workflow in radiation oncology. There will also be a call for scientific abstracts that will be featured in a poster session.

Fall Registration Page

Current Meeting Abstract and Agenda

Ci4CC is a nonprofit society providing a focused forum for NCI Designated & Community Cancer Centers that has a special focus on Precision Medicine, Data Science, Artificial Intelligence, Healthcare IT, Translational Research, & Digital Platforms targeting Executive Informatics & Research IT leaders nationally.

02/15/2022: Researchers and professionals involved in drug discovery are invited to join ATOM Consortium’s webinar on February 28, 2022, 11:30 am - 1:00 pm ET, featuring John Baldoni, PhD, CEO of ATOM Research Alliance. Attendees will learn how the ATOM Research Alliance is changing the field. The alliance is available to all with an adaptable business relationship to fit the collaborators needs. Learn more and register here: #theATOMapproach

02/14/2022: IMAG, the Interagency Modeling and Analysis, Group, is hosting a webinar on Collaboration and Team Science: Mindset Matters featuring L. Michelle Bennett, PhD, on March 3, 2022 from 2:30-3:30 pm ETAbstract: Team Science, the convergence of different disciplines, is essential today for addressing our most complex scientific challenges. But there is more to successful collaboration than assembling scientific experts. There is strong data to support a need for the team to focus on both the science as well as the team functioning, or relationships, to be maximally effective. Strong relationships and personal well-being, in the context of the team, make important contributions to overall team productivity. Team scientists are also beginning to better understand the importance of individual and team mindset as a driving force for both the behaviors and the results the team gets. The Team Effectiveness Model for Science (TEMS) provides a framework for understanding the value of the mutual learning mindset as the core for the team, upon which they can then develop team specific scientific and relationship mindsets in support of their work together. TEMS helps answer the question of how a team can benefit from the multiple dimensions of diversity, essential for creativity and innovation, without those same differences undermining the teams functioning and performance. See, for this presentation link and associated publication link

02/11/2022: Check out these two NIH Notices of Special Interest to improve artificial intelligence/machine learning collaborations: 

Notice of Special Interest (NOSI): Administrative Supplements to Support Collaborations to Improve the AI/ML-Readiness of NIH-Supported Data: Applications due March 17, 2022.

Notice of Special Interest (NOSI): Administrative Supplements for Advancing the Ethical Development and Use of AI/ML in Biomedical and Behavioral Sciences: Applications due March 31, 2022.

02/09/2022: Apply for a new 5-day NIH Innovation Lab, A Data Ecosystems Approach to Ethical AI for Biomedical and Behavioral Research to be held on March 14-18, 2022, from 10:00 am – 5:00 pm ET. Applications are due by February 14, 2022 at 5 pm ET. Participants in this virtual workshop will form and prepare collaborative research teams to develop innovative social and technical approaches to define and implement ethics across the AI data ecosystem. Organizers seek a broad spectrum of participant expertise in areas including behavioral and biomedical research, data management and data science, IRB review, data and technology standards, data repositories, AI model development, computer science and computational tool development, social science, ethics, tech law and data sharing policy, patient advocacy, and community engagement.  We anticipate the interdisciplinary collaborations will result in peer-reviewed publications and prepare teams for submitting proposals to NIH-funding opportunities. Applicants will be informed of their selection no later than February 22, 2022. See the website for more information:

01/11/2022: The NIH Office of Data Science Strategy is seeking a Supervisory Health Scientist Administrator to lead the office’s AIM-AHEAD program. The Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity Program is a flag-ship initiative at the intersection of artificial intelligence and health equity. This program establishes mutually beneficial and coordinated partnerships to increase the participation and representation of researchers and communities currently underrepresented in the development of AI/ML models and enhance the capabilities of this emerging technologies. A detailed job description will be posted on January 18 at Applications will be open from January 18-27, 2022. This position will be open to both internal and external candidates and will be located in Montgomery County, Maryland once NIH returns to an in-person status.

12/08/2021: A new DARPA program solicitation was published late last week. The Special Notice with registration information for the virtual Automating Scientific Knowledge Extraction and Modeling (ASKEM) Proposers Day is available here. The BAA can be found here and at Although the registration is closed for the Proposers Day, they intend to post the Proposers Day presentations and video after the fact if you are unable to attend but still interested. Questions can be directed to

12/06/2021: Save the Date for AI in Cancer Research and Clinical Care: Turning Promise into Reality! A Hood College and FNLCR Symposium - April 26-28, 2022. This symposium brings together experts from across North America to discuss the latest applications of AI in cancer research and clinical care while providing insights on the path forward to unlock the full potential of AI. Registration opens January 2022. For more information

12/03/2021: Check out this commentary written by members of the ECICC Community and appearing in Nature Medicine that describes how digital twins can transform cancer care. 

10/27/2021: The National Cancer Institute’s Division of Cancer Biology (NCI DCB) and IBM Research are partnering to build a Community of Accelerated Discovery composed of a multi-disciplinary group of researchers focused on the discovery implications of clinical translation of biologically informed combination therapies for cancer. Apply to the Ideas Lab here. Deadline is November 22, 2021.

10/14/2021: Interested in AI in drug discovery? Register for the NCI virtual, interactive workshop on Rational Drug Discovery on October 18-19, 10:00 am – 5:00 pm, ET. Topics include key developments in structural biology, chemical biology and novel modalities, target interrogation, and artificial intelligence (AI) in drug discovery. See the Workshop Agenda and Participant Bios for more information.

10/05/2021: Applications for the Sallie Rosen Kaplan (SRK) Fellowship for Women Scientists in Cancer Research program are being solicited from the current NCI female postdoctoral population.  The self-nomination consists of a personal statement and support from your current mentor and lab/branch chief.  The SRK program provides additional didactic and experiential exposure to the competencies necessary to retain women as productive contributors to the biomedical research community and to be better equipped to transition to independent research careers.  The program will take applications until Friday, October 15th.  The SRK program starts in November 2021. 

09/30/2021: NIH Request for Information (RFI): Search Capabilities across the Biomedical Landscape for NIH-wide Data Discovery, NOT-OD-21-187. With this RFI NIH seeks input on use cases, expectations, and capabilities for enabling data and information discovery (search) to enhance NIH-wide data discovery and its reuse. In particular, NIH would like to understand better researchers’ experiences and expectations in finding data and information that would greatly enable their research capabilities and uncover underlying barriers or opportunities that can move the search landscape forward. All comments must be submitted electronically on the The RFI will close on December 3, 2021

09/07/2021: Abstracts deadline for the Seventh Computational Approaches for Cancer Workshop (CAFCW21) extended to Monday, September 13, 2021! The workshop will be held in person and virtually on November 14, 2021, 9:00 a.m. to 5:30 p.m. CT, in St. Louis, Missouri, in conjunction with SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis. A special emphasis for CAFCW21 is digital twins in cancer research and care.

08/11/2021: Check out these just-published RFIs to help NIH and FDA identify gaps in AI development in next gen sequencing (NGS) and radiologic applications. Response date is November 1, 2021, for both.

07/16/2021: Watch Eric Stahlberg, PhD, Director, Biomedical Informatics and Data Science, Frederick National Laboratory, preview the Seventh Computational Approaches for Cancer Workshop held in conjunction with Supercomputing 21 in St. Louis, MO, on November 14, 2021. Submit your abstracts today:!

07/14/2021: Attend the informational webinar for Research Opportunity Announcement (ROA) entitled AIM-AHEAD Coordinating Center: Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity” (OTA-21-017)  Thursday, July 15, 2021. The ROA was published on July 13. The Coordinating Center will build a consortium comprising four main cores (Leadership/Administration, Data Science Training, Data and Research, Infrastructure), and applicants may address one or more of these cores. 

07//06/2021: NCI Director Dr. Norman (Ned) Sharpless and NCI Center for Biomedical Informatics & Information Technology Director Anthony (Tony) Kerlavage, PhD, published a commentary on NCI’s commitment to AI for cancer care and research in BBA Reviews on Cancer. The article references the work of the NCI-DOE Collaboration.

06/30/2021: The National Cancer Institute (NCI) will hold a public pre-application webinar for "Radiation Oncology-Biology Integration Network (ROBIN) Centers (U54 Clinical Trial Required). The pre-application webinar will be on July 16, 2021, at 1:00 pm to 3:00 pm EDT. RFA:

06/03/2021: Registration is now open for the NIH Common Fund Bridge to Artificial Intelligence (Bridge2AI) program’s team building activities! Register today to gain access to networking opportunities, hear from NIH Leadership about their vision for Bridge2AI, and to register to attend the June 2021 Team Building Activities. These events are designed to facilitate team building across communities, ensure responsiveness of proposals, and to help support the formation of teams richly diverse in perspectives, backgrounds, and academic and technical disciplines. NIH strongly encourages potential proposers to participate. 

06/02/2021: Attend the Fourth ISC Workshop on HPC Applications in Precision Medicine as part of the virtual ISC High Performance 2021 (, July 2, 2021, 2:00 p.m.–6:00 p.m., Central European Time. Workshop website:; Registration:

05/25/2021: We are pleased to announce that the Seventh Computational Approaches for Cancer Workshop (CAFCW21) will be held in person on November 14, 2021, 9:00 a.m. to 5:30 p.m. CT, in St. Louis, Missouri, in conjunction with SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis. The special emphasis for CAFCW21 is digital twins in cancer research and treatment.

05/21/2021: The Accelerating Therapeutics for Opportunities in Medicine (ATOM) consortium is a public-private partnership with the mission of transforming drug discovery by accelerating the development of more effective therapies for patients. See their latest newsletter here and sign up for updates.

05/20/2021: Check out this article on how the work of the NCI-DOE Collaboration helped lay the groundwork in the fight against COVID-19. "DOE’s main experience with early-stage drug development was in 2016’s Cancer Moonshot. program, an initiative that HPC  to medicine and supported collaborations among DOE, the National Institutes of Health (NIH), academia and industry."

05/19/2021: We are excited to bring you the latest news about the NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program, which is designed to help propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) and machine learning (ML) that tackles complex biomedical challenges beyond human intuition. The Bridge2AI program plans to support several interdisciplinary Data Generation Projects (OTA-21-008) and one complementary cross-cutting Integration, Dissemination and Evaluation (BRIDGE) Center (NOT-RM-21-021) to generate flagship data sets and best practices for the collection and preparation of AI/ML-ready data to address biomedical and behavioral research grand challenges. You can read more about the vision for this new program in a recent NLM Director's blog

04/14/2021: Submit your abstracts for the Fourth ISC Workshop on HPC Applications in Precision Medicine. Call for Abstracts Submission Deadline -- May 1, 2021. Workshop website:; submission site:

04/06/2021: The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges beyond human intuition. Read this blog to learn more and sign up for their listserv to receive updates.

03/31/2021: On Monday, April 5, 2021, 1:00 p.m. - 2:00 p.m. ET, the NCI Imaging and Informatics Community Webinar will welcome Dr. Saurabh Jha, associate professor of radiology at the University of Pennsylvania, to address the legal scholarship and hypothetical case studies surrounding the adoption of artificial intelligence (AI) in medicine. Dr. Saurabh Jha is a British-trained doctor, U.S.-trained radiologist, and associate professor of radiology at the University of Pennsylvania. He has written extensively about AI in radiology and was a guest editor of the special issue on AI in Academic Radiology. His work has appeared in multiple outlets including the NEJMJAMA, Stat News, and Medscape.

03/04/2021: Apply to be an NIH Data Scholar by April 9: The National Institutes of Health (NIH) Office of Data Science Strategy (ODSS) Data and Technology Advancement (DATA) National Service Scholar Program is seeking experienced data and computer scientists and engineers to tackle challenging biomedical data problems with the potential for substantial public health impact. Apply here

02/23/2021: Request for Information (RFI) regarding use of Common Data Elements (CDEs) in NIH-funded research, particularly but not exclusively in the context of COVID-19. The RFI is now posted in the NIH Guide and accepting applications via this webform. Some additional background information is available in an Open Mike blog post about the RFI.

02/22/2021: Announcing a National Library of Medicine lecture on the social implications of AI – Monday, Mar 1, 4:00 pm via NIH videocast and open to all!  Dr. Kate Crawford -- inaugural Visiting Chair of AI and Justice at the École Normale Supérieure, senior principal researcher at Microsoft, and cofounder of the AI Now Institute at New York University, will present “Atlas of AI: Mapping the social and economic forces behind AI.” Dr. Crawford served as a member of the NIH Advisory Committee to the Director’s Working Group on Artificial Intelligence, the recommendations of which are currently informing NIH efforts in this area. 

02/04/2021: NCI-DOE Collaboration 2021 Virtual Workshop Series: Accelerating Precision Radiation Oncology through Advanced Computing and Artificial Intelligence. Help re-imagine the future of radiation oncology! Apply today!

11/16/2020: Announcing a new NIH workshop on Ultra-Large Chemistry Databases! When: 3 half days, Dec 1-3, 11:00 am - 3:00 pm ET. Join a virtual workshop focused on defining the major challenges and promising new approaches for creating, curating, integrating and querying across ultra-large chemistry databases. Register today!

11/12/2020: The National Cancer Institute is hosting an Innovation Lab to generate creative strategies and new research collaborations aimed at improving understanding, prediction, and validation of dynamic cell-cell communication and emergent behaviors of cell ensembles in cancerous tissues. This 5-day virtual event will take place in February 25-26 and March 1-2 and 5, 2021. PI-level cancer researchers and clinician scientists, cell and developmental biologists, systems biologists, evolutionary biologists, engineers, physical scientists, and computer scientists, etc. are strongly encouraged to apply. Deadline to apply extended to December 11, 2020.

10/26/2020: NCI “Multidisciplinary Approaches to Understand Cancer Treatment Resistance” virtual symposium series, which will begin on November 16, 2020. Register at

10/20/2020: Webinar: Leveraging Clinical Narrative Text at Scale: Applying Natural Language Processing to Understand the Patient Care Experience, Thursday, November 5, 2020, 1:00 PM – 2:30 PM EST, Register Here

09/29/2020: A new Common Fund program – The Human BioMolecular Atlas Program (HuBMAP) -- Presents Its First Data Release! Access the new tools and maps at this link.

09/15/2020: NCI, NIBIB award contracts to develop innovative digital health technologies for COVID-19:

09/09/2020: Read the special series, "Informatics Tools for Cancer Research and Care — Bridging the Gap between Innovation and Implementation," guest edited by Drs. Juli Klemm and Jeremy Warner, in JCO Clinical Cancer Informatics, an American Society of Clinical Oncology journal.

09/08/2020: NCI Director Dr. Norman "Ned" Sharpless will deliver the keynote for 6th Computational Approaches for Cancer Workshop (CAFCW) at SC20 on Friday, November 13, 2020. Register here.

08/25/2020: The National Cancer Institute’s Center for Biomedical Informatics and Information Technology is hiring an Associate Director for Informatics and Data Science. The opening is posted on the NIH site with applications being received through 9/21.

05/12/2020: The Virtual Digital Twin Micro Lab was held on April 23, 2020 with participants from more than 40 organizations. Download the video presentations, see the PowerPoint slides and read the breakout discussion notes!

Created by Petrina Hollingsworth Last Modified Tue May 30, 2023 5:38 pm by Petrina Hollingsworth