UCLA study: AI model can help predict survival outcomes for patients with cancer

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Investigators from the UCLA Health Jonsson Comprehensive Cancer Center have developed an artificial intelligence model based on epigenetic factors that is able to predict patient outcomes successfully across multiple cancer types.

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Cristina Puig-Saus, an associate professor of microbiology, immunology and molecular genetics and surgical oncology at the David Geffen School of Medicine at UCLA and an investigator at the UCLA Health Jonsson Comprehensive Cancer Center, and her research team have received a five-year, $3.9 million grant from NCI to develop drug-based strategies that could enhance cancer immunotherapy for patients with melanoma and potentially other types of cancer. 
Artificial intelligence is rapidly transforming biomedical research and healthcare. Large language models, foundation models, and AI agents are increasingly being deployed to assist with data interpretation, literature review, clinical decision support, and translational research. 

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