Upcoming Events
Workshop Series: AI Embeddings for Cancer Research
Part 1: Town Halls - Wednesday April 8, 2026, Thursday April 9, 2026
Part 2: Convergence Session - Thursday April 23, 2026
- Applications for convergence session due Monday April 13, 2026
Part 3: Innovations Lab - TBD
The Embedding Databases Workshop convenes experts from research, clinical care, technology, and industry to identify a small set of high-impact challenges. The aim is to focus effort on key roadblocks and explore how these emerging tools can responsibly unlock data, ensuring that critical information reaches those who can use it to save lives.
Workshop information and registration can be found here.
Bridge2AI bi-annual meeting: From Data to Wisdom: Bridging the Future of AI
This meeting offers an opportunity to engage with researchers and teams advancing AI-ready data for biomedical and behavioral research. The two-day event will feature fireside chats, lightning pitches from early career researchers, and discussions highlighting the work of the Bridge2AI consortium.
Event Details:
- When: April 28–29, 2026
- Where: Rockville, MD | Virtual attendance option available
- Learn more and register: https://cvent.me/kwME2o
If you have questions about this event, please contact admin@bridge2ai.org.
Cancer AI Conversations: AI-Assisted Vibe Coding
Tuesday, May 26, 2026
Moderator: Candace Savonen, PhD, Synthesize Bio
Panelists: Ethan Cerami, PhD, Dana Farber Cancer Institute; Jeremy Goecks, PhD, Moffitt Cancer Institute
This session of the Cancer AI Conversations will focus on the emerging approach of using natural language prompts to generate, refine, and debug code.
Past Events
Cancer AI Conversations: Evaluating Generative AI Use in Healthcare Delivery
Tuesday, January 27, 2026
Moderator: Sarah Dunsmore, PhD, NIH National Center for Advancing Translational Sciences
Panelists: Nigam Shah, MBBS, PhD, Stanford University; Aaron Boussina, PhD, UC San Diego
The panel discussed the opportunities, risks, and real-world considerations of using generative AI in healthcare delivery.
Access the event recording
Cancer AI Conversations: Integrating AI in clinical care and clinical trials for oncology
Tuesday, September 23, 2025
Moderator: Ryan Weil, PhD, Frederick National Lab for Cancer Research
Panelists: Olivier Elemento, PhD, Weill Cornell; Amber Simpson, PhD, Queen's University
Access the event recording
Cancer AI Conversations: Using Synthetic Data for Privacy-Preserving AI
Tuesday, July 22, 2025
Moderator: Heidi Hanson, PhD, Oak Ridge National Laboratory
Panelists: Pearse Keane, MD, University College London; Danielle Bitterman, MD, Harvard Medical School
The panel discussed opportunities and challenges with using synthetic data for preserving privacy in AI tools and algorithms.
Access the event recording.
Cancer AI Conversations: Agentic AI in Cancer Research
Tuesday, May 27, 2025
Moderator: Anwesha Dey, PhD, Genentech
Panelists: James Zou, PhD, Stanford University; Vivek Natarajan, PhD, Google
The panel discussed recent advances and future opportunities in using AI Agents to advance cancer research.
Access the event recording.
Cancer AI Conversations: Evaluating AI Models - Benchmarking and Fairness
Tuesday, November 26, 2024
Moderator: Jayashree Kalpathy-Cramer, PhD, University of Colorado Anschutz
Panelists: Peter Mattson, PhD, MS, ML Commons; L. J. Zhang, PhD, MS, Rutgers
The panel discussed the role of benchmarks to drive focused areas of AI development.
Access the event recording.
Tenth Computational Approaches for Cancer Workshop 2024 (CAFCW24)
Monday, November 18, 2024, 2:00 - 5:30 p.m. ET
This workshop was held as part of SC24, Nov 17-22 at the World Congress Building in Atlanta, GA. It brought together a wide range of individuals including clinicians, cancer biologists, mathematicians, data scientists, computational scientists, engineers, developers, vendors, thought leaders, and others with an interest in advancing the use of computation to better understand, diagnose, treat, and prevent cancer.
Cancer AI Conversations: AI and Global Oncology
Tuesday, September 24, 2024
Moderator: Judy Gichoya, MD, MS, Emory
Panelists: Sameer Antani, PhD, NLM; Ajay Aggarwal, MD, PhD, MsC, Kings College, London
The panel discussed considerations for AI development and implementation in low-resource, global settings.
Access the event recording.
Cancer Moonshot Workshop: Using AI Approaches to Target
Undruggable Cancer Targets
Thursday, August 15, 2024, 8:30 a.m. - 5:15 p.m. ET
This White House Cancer Moonshot workshop, co-organized by NCI, DOE, ARPA-H, and FDA, show-cased the state-of-the-art and future prospects for AI to target undruggable cancer targets and identified strategic opportunities for academia, government, and industry to collaborate in advancing responsible AI toward new drug targets.
Access the event agenda, recording of the morning sessions, and recording of the afternoon sessions.
Published Workshop Report developed by the workshop participants.
Cancer AI Conversations: AI and Cancer Health Disparities
Tuesday, July 23, 2024
Moderator: Veronica Rotemberg, MD, PhD, MSKCC
Panelists: Emma Pierson, PhD, Cornell; Edmondo Robinson, MD, MA, Moffitt
The panel discussed ways in which AI has the potential to impact cancer health disparities.
Access the event recording.
Cancer AI Conversations: Machine Learning in Cancer Care Delivery - Implementation and Sustainability
Tuesday, May 28, 2024
Moderator: Roxanne Jensen, PhD, NCI
Panelists: Tina Hernandez-Boussard, PhD, MPH, Stanford; Katharine A. Rendle, PhD, MPH, Univeristy of Pennsylvania
The panel discussed the challenges and opportunities that come with integrating and sustaining AI tools in healthcare systems.
Access the event recording.
AACR 2024 NCI Artificial Intelligence (AI) Programs and Resources for Advancing Cancer Research
Wednesday, April 10, 2024, 10:15 a.m. PT | View the session abstract
In this session, attendees learned about NCI funding opportunities, resources, and community activities that support the appropriate development and application of AI in cancer research.
Cancer AI Conversations: Machine Learning in Cancer Care Delivery - Moving from Model Validation to Clinical Workflow
Tuesday, March 26, 2024
Moderator: Leah L. Zullig, PhD, MPH, Duke University
Panelists: William Lotter, PhD, Dana Farber Cancer Institute; Julian Hong, MD, MS, UC San Francisco
The panel discussed the challenges faced when moving from the creation and validation of machine learning tools into patient care.
Access the event recording.
Cancer AI Conversations: Understanding the role of prompt engineering in generative AI
Tuesday, January 23, 2024
Moderator: Guergana Savova, PhD, Boston Children’s Hospital
Panelists: Hoifung Poon, PhD, Microsoft Research; Claus O. Wilke, PhD, University of Texas at Austin
In the first session of the Cancer AI Conversations series, the panel discussed the emerging field of prompt engineering—the process of designing inputs for generative AI tools that will produce optimal outputs.
Access the event recording.
Equitable and Engaged AI to Advance Biomedical Research
July 25–28, 2023
Hosted in coordination with the US-EU AI Administrative Agreement, this series of three meetings explored various AI topics relevant to cancer research.
Access the event recordings:
- Day 1: Privacy Preserving AI
- Day 2: Community/Patient-Engaged AI for Biomedical Research
- Day 3: Ethical AI and Inclusion of Underserved Communities
Virtual Workshop on Medical Image De-Identification (MIDI)
May 22–23, 2023
NCI staff shared the best practices/recommendations for conducting sensitive data removal, known as “de-identification,” as identified by the MIDI Task Group (convened by NCI).
Access the workshop schedule, recordings, slides.
Cancer Artificial Intelligence (AI) Research: Computational Approaches Addressing Imperfect Data
April 3–4, 2023
NCI hosted a virtual workshop focused on methods to address data limitations for applying AI approaches in cancer research.
Access the event agenda, April 3 recording, and April 4 recording.
Envisioning a Cancer AI Accelerator
January 10, 17, and 26, 2023
NCI invited thought leaders in cancer-focused AI research to participate in a series of three virtual working meetings to envision the core structure, scope, and priorities for a Cancer AI Accelerator.
Access a summary of the discussions and outputs.
Machine Learning and Health Outcomes in Cancer Care Delivery Research
May 16–17, 2022
NCI conducted a virtual workshop focused on research in machine learning, cancer care delivery, and health outcomes.
Access the event agenda and session recordings.
Collaboratively Envisioning AI and Ethics in Biomedical Research
March 14–18, 2022
The NIH Office of Data Science Strategy (ODSS) sought to build a multi-disciplinary community of stakeholders interested in the social implications of technology to collaboratively envision the integration of AI and ethics in biomedicine to advance the NIH mission.
Access the webinar recordings and meeting summary.