Dunleavy Foundation

HMS will use Dunleavy Foundation funding to train the next generation of researchers, scientists, policymakers, and innovators in using AI to improve health outcomes.

As artificial intelligence (AI) continues to advance rapidly across many domains, Harvard Medical School is poised to lead a revolutionary shift in health care, thanks to a $6 million commitment from the Dunleavy Foundation.

The foundation’s generosity establishes the Dunleavy Fund for Clinical AI, which will be used to strengthen the School’s efforts to equip future scientists with the knowledge and skills to harness the capabilities of AI in the service of improved health care and medical science.

“To remain at the forefront of medical education, HMS must anticipate the physician of the future, practicing in an environment rich with cognitive support resources powered by artificial intelligence tools,” says HMS Dean George Q. Daley, AB ’82, MD ’91, PhD. He adds: “The time to invest in building a pipeline of AI experts for health care is now, and I want HMS leading the way. The Dunleavy Foundation’s support is essential here.”

The Dunleavy Fund will provide educational opportunities for PhD and master’s level graduate students, undergraduates, and postdocs through internships, fellowships, events, programs, and research dissemination. One of the key initiatives backed by the fund is the Artificial Intelligence in Medicine (AIM) PhD track, which welcomed its inaugural class in 2024 and is part of the Biomedical Informatics PhD program.

“The AIM PhD track is focused on recruiting young students right out of college who have strong training in quantitative disciplines like computer science, engineering, or mathematics and who have a demonstrated interest in biology, medicine, and contributing to effective improvements in clinical care,” says Isaac Kohane, MD, PhD, the Marion V. Nelson Professor and chair of the Department of Biomedical Informatics in the Blavatnik Institute at HMS and co-director of The Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at HMS and Clalit Research Institute.

Kohane notes that the recent surge of AI applications in medicine has not been coupled with a workforce that understands how to develop AI models that are safe, effective, and work well both for patients and clinicians in their daily workflow. Thus, he’s enthusiastic about the PhD track’s potential to fill this void.

“We will not only provide advanced courses in machine learning and other relevant fields for developing AI, but also offer in-depth analyses of the challenges facing medicine,” Kohane says. “Students will gain substantial knowledge of biology and biomedical topics needed to effectively address those medical challenges.”

The PhD track will expose students to important AI applications in health care, such as accelerating diagnoses, particularly those of rare diseases; selecting therapies that are individualized for each patient’s disease; and predicting and preventing diseases to reduce costs.

Keith Dunleavy, MD ’95, founder and CEO of health care technology company Inovalon, and his wife, Katherine Dunleavy, MD ’95, a physician specializing in internal medicine, say their fortunate exposure to visionaries in AI and medical domains has been an invaluable learning experience. They have been repeatedly reminded, they say, of the challenges experienced by those who are extremely technologically gifted, sophisticated, and resourced, but nevertheless lack an understanding of how health care is delivered, how new diagnostics or treatments are discovered, or how the vast health care system is administrated.

“With this in mind, we are hopeful that by supporting training that brings these fields together, we can help in some small way to bring the power of AI to the great needs of medicine and health care,” says Keith Dunleavy, who is also a member of the HMS Board of Fellows.

Another initiative supported by the Dunleavy Fund is a hackathon that will enable undergraduate students to pursue projects in the field of AI in medicine. The students will receive access to clinical data, allowing them to explore current topics of interest and develop creative solutions.

Katherine Dunleavy, who is also a member of the HMS Advisory Council on Education, says the couple hope that by emphasizing education and training in AI that is specifically geared toward its application in medicine and health care, the fund will facilitate the growth of a particular type of professional.

“We hope this approach brings an important element of being mission-driven with respect to the cornerstones of medicine and health care: those based on caring, empathy, and positive impact for society,” she says.

───────────────────────

DUNLEAVY FUND FOR CLINICAL AI

The Dunleavy Foundation’s $6 million commitment comprises a $1 million grant and a $5 million endowed gift. Areas of support include:

1. AIM PhD fellows. The HMS Department of Biomedical Informatics (DBMI) created the Artificial Intelligence in Medicine (AIM) PhD track to train exceptional computational students to harness large-scale biomedical data and advanced AI methods to develop new clinical research tools.
2. Internships. DBMI seeks to support undergraduate and master’s students in research internships, providing the opportunity to work directly on AI in medicine methodology and applications, with the ultimate goal of being mentored toward publication.
3. Pipeline programs. DBMI will pursue exciting programs that will engage young scientists in the field of AI in medicine, including a hackathon that will provide undergraduate students with access to clinical data, allowing them to explore current topics of interest and develop creative solutions.