Targeted Therapy

Clinical tool predicts adoptive therapy response in eye cancer patients

April 16, 2024 - Researchers from the University of Pittsburgh Medical Center (UPMC) have developed a predictive model to forecast metastatic uveal melanoma patients’ response to adoptive therapy, according to a study published today in Nature Communications. The research team indicated that uveal melanoma is resistant to conventional immunotherapies, but...

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Machine Learning Identifies Drug Candidates for Cardiac Fibrosis

by Shania Kennedy

University of Virginia (UVA) researchers have developed a machine learning tool to identify factors associated with cardiac fibrosis and predict which drug candidates can help prevent the...

AI Algorithm Can Identify Potential Therapeutic Targets for Cancer

by Shania Kennedy

In a study published this week in Nature Cancer, researchers at Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine described an artificial intelligence (AI)...

Machine-Learning Model Can Help Identify Ovarian Cancer Treatment Targets

by Shania Kennedy

A study published last month in Nature Metabolism shows that a machine learning (ML)-based computational platform can identify specific metabolic targets in ovarian cancer, which could be used in...

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