CPH in the Media
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Researchers consider innovative, inclusive ways to develop and scale computational health
Inaugural Frontiers in Computational Health conference convened over 150 researchers, members of industry, and students at UC Berkeley for a full day of panels, presentations, and posters on new approaches to computational health.
Brain-to-voice neuroprosthesis restores naturalistic speech
Gopala Anumanchipalli and colleagues leverage advances in AI modeling, with neuroprosthesis technology, and have developed a streaming method that synthesizes brain signals into audible speech in near-real time, resulting in naturalistic speech for people with severe paralysis.
Pioneering a new era for cancer prediction using AI
UC Berkeley CDSS News features Adam Yala’s work, real-world impact of his breast cancer predictive model, and what’s next in AI systems for cancer diagnosis.
How Artificial Intelligence is Fostering Human Connection in Health Care
Sara Murray, Chief AI officer at UC Health, describes how AI scribes now being used in medical care can reduce the the mental load for patients and providers alike.
How Insurance Companies use AI to Deny Claims
Ziad Obermeyer speaks with WBUR on AI use by health insurance companies, and and missed opportunities to share data and use AI tools to benefit patients and health systems.
Ida Sim: A healthcare pioneer transforming how data works for patients
Ida Sim has focused her career on making health data more open and shareable. As CPH co Director she is dedicated to training the next generation of leaders to harness the power of AI to develop personalized, precise, equitable solutions for health.
New Program Trains Data Scientist Who Are Transforming Medicine
UCSF News profiles the CPH program, talking to faculty, students and staff about leading a world-class PhD program and a center with transformative real-world impact.
Enhancing MRI with AI to Improve Diagnosis Brain Disorders
Reza Abbasi-Asl, Pratik Mukherjee and colleagues discuss recent research showing AI system improvement of visualization and identification of brain abnormalities captured by MRIs in Traumatic Brain Injury.