Together to give 1 million years of life back to cancer patients with AI
Our Alliance
Undertaking this massive challenge requires world class cancer institutions supported by donations from the world's leading technology companies.
CANCER CENTER ALLIANCE MEMBERS
FOUNDATIONAL TECHNOLOGY ALLIANCE PARTNERS
ENABLING TECHNOLOGY ALLIANCE PARTNERS
610,000+ people die from cancer each year
Can we predict skeletal related injuries in patients with bone metastases? How does a patient's weight impact their survival chances post diagnosis? What are the signs of radiation pneumonitis in patients with interstitial lung disease? Can we create a tool for standardized identification of anti-neoplastic regimens? What factors lead to relapse in triple negative breast cancer patients? Can we detect neuroendocrine prostate cancer with a biopsy from longitudinal patient records? Should patients in their 80s diagnosed with esophageal cancer get chemotherapy? How does hormone replacement therapy affect postmenopausal women?
Cancer Still Touches Us All
Despite incredible progress we still have so many open questions in cancer research and care.
CAIA's Paradigm Shift
Artificial intelligence is "data hungry," but patient privacy is paramount.
CAIA's federated learning system is the breakthrough, allowing us to train powerful AI models while patient data never leave cancer centers, are not shared with our tech partners, and are never sold.
Predicting prostate cancer lineage plasticity from longitudinal electronic medical record data
Cancer Measurement Foundation Model
Large Language Models (LLM) for cancer EHR
CAIA DataVoyager
Integrative predictor of immunotherapy outcomes from clinical lab measurements
Dynamic prediction of clinical outcomes using longitudinal integration of EHR data
Identifying predictors of response to IDH inhibitor therapy in high-grade IDH-mutant astrocytoma or oligodendroglioma
Predicting Skeletal Related Events in Patients with Bone Metastases
CAIA dramatically accelerates research
Our multi-institution governance system, common data model, and federated learning platform let scientists do in weeks what used to take years. The CAIA use case committee prioritizes use cases lead by faculty at each institution.
World-Class Expertise
CAIA Steering Committee
Alexis Battle, PhD
Interim Co-director of the Data Science
and AI Institute and Director of the Malone Center for Engineering in Healthcare
Stephen Cleaver
Chief Research Informatics Officer
Bruce Clurman, MD, PhD
Executive Vice President, Chief Scientific Officer, Deputy Director
Rosput Reynolds Endowed Chair
The brightest minds in cancer research supported by donated time from the brightest minds in technology.
Sohrab Shah, PhD
Chief of Computational Oncology and Nicholls-Biondi Chair in Computational Oncology
Jeff Leek, PhD
Vice President, Chief Data Officer
J. Orin Edson Foundation Endowed Chair
Kevin Haigis, PhD
Chief Scientific Officer
Srinivasan Yegnasubramanian, MD, PhD
Director of inHealth Precision Medicine
Jason Johnson, PhD
Senior Vice President and Chief Data and Analytics Officer
Jensen Huang
Founder, President and CEO
Beth Meagher
Vice Chair – US Federal Health Sector Leader
Greg Corrado
Co-founder, Brain Team; and Principal Scientist, AI Healthcare Team
Technology and AI Advisors
Peter Lee
Vice President Research and Incubations
Aidan Gomez
Co-founder and CEO
Ali Farhadi
CEO
Matt McIlwain
Managing Director
Marco Argenti
Chief Information Officer
Matt Garman
CEO
Pete Shimer
Executive Chair of CAIA
Marco Argenti
Chief Information Officer
Jean Liu
Board Member
External Advisory Board
Tom Lynch
Chief Executive Officer (ex-officio)
Matt McIlwain
Managing Director
Alexis Battle
Director
Bruce Clurman
Chief Scientific Office and Deputy Director (ex-officio)
Robert Bessler
Chief Executive Officer
Brian Bot
Director of Strategic Coordinating Center
Jeff Leek
Scientific Director
Kim Baggett
Director of Operations
CAIA Senior Management Team
Pete Shimer
Executive Chair of CAIA
“The convergence of AI, multimodal healthcare data and federated learning will usher in a new era for cancer research. We are delighted to partner with Cancer AI Alliance to help researchers transform cancer care.”
“Our collaboration with the Cancer AI Alliance underscores Deloitte’s long-standing commitment to help transform the life sciences and healthcare industry.”
“AWS is proud to support the Cancer AI Alliance and help deliver on its critical mission of transforming cancer research and care. Together, we will accelerate innovation in cancer discovery and treatments, deploy generative AI at scale, and leverage the power, agility, and security of cloud computing to revolutionize health and patient outcomes.”
What our members and partners are saying about CAIA
“Collectively, the data held by the nation’s leading cancer centers has been an untapped source of new cancer discoveries that has been out of reach. This alliance helps solve the key technical challenges that will enable us to securely use both AI and massive computational power to find these breakthrough insights and save more lives”
“CAIA represents a strategic shift where our competitive advantage comes through working together rather than working in isolation. The alliance’s federated approach allows MSK to contribute our clinical expertise while learning from insights at scale.”
Join the Future of Cancer Research
Join CAIA's growing group of
committed supporters, scientists, technologists, leaders, and thinkers on our mission to give back a million life years.
Frequently Asked Questions
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