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The will bring together innovators in AI-driven health care solutions for its inaugural symposium to be held on April 3 at the Hanover Inn.

Launched last July, the CPHAI fosters interdisciplinary collaborations that leverage AI and other computational technologies to drive advancements in precision medicine and disease prevention.

“Precision health has the potential to fine-tune diagnosis and treatment for a broad range of health ailments, leveraging an individual’s health history, genetic makeup, and environmental and social factors,” says, the Pat and John Rosenwald Professor in the Department of Computer Science.

“Although CPHAI was just launched last year, it has already attracted a strong cohort of collaborative faculty and researchers spanning the entire ���㽶��Ƶ campus—and the medical centers of ���㽶��Ƶ Health—to tackle some of the most challenging questions related to AI in medicine,” says Kotz.

The one-day symposium, , will open with remarks from and feature keynotes by , professor of radiology, medicine, and biomedical data science at Stanford University, and , associate professor of pathology at Harvard University.

Through the day’s sessions, ���㽶��Ƶ’s AI experts and clinicians will share insights into transforming health care through AI, emphasizing collaborative research and innovation.

The CPHAI received initial funding from the Geisel School of Medicine and ���㽶��Ƶ Cancer Center and is based in the Williamson Translational Research Building, a ���㽶��Ƶ-owned building on the ���㽶��Ƶ Hitchcock Medical Center campus in Lebanon, N.H.

Recent work by researchers affiliated with CPHAI introduces a deep learning approach to colorectal cancer diagnosis that offers quicker, more accurate detection, facilitating timely treatment. Another team of researchers built a machine learning model to identify a novel biomarker for breast cancer.

“Our aim is to highlight recent advances in the field and the exceptional work of ���㽶��Ƶ investigators within our community,” says , professor of biomedical data science, epidemiology, and computer science. “We believe this symposium will spark engaging discussions and foster connections among students, faculty, and staff.”

The event is open to the ���㽶��Ƶ community. See the .