• 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...

  • Machine learning framework captures uncertainty in medical images

    April 15, 2024 - Researchers from the Massachusetts Institute of Technology (MIT), Massachusetts General Hospital and the Broad Institute of MIT and Harvard have developed a machine learning approach to help capture the uncertainty present in medical image segmentation, which could improve clinical decision-making. Medical image segmentation is a critical aspect of...

  • Machine learning characterizes cardiac function, drug response

    April 15, 2024 - Columbia University researchers have developed a machine learning-based approach to assess cardiac function and drug response, according to a study published recently in IEEE Open Journal of Engineering in Medicine and Biology. The research team indicated that understanding heart function and testing new drugs to treat cardiac diseases is both...

  • National Academy of Medicine publishes AI Code of Conduct draft

    April 11, 2024 - The National Academy of Medicine (NAM) has published a draft framework for the responsible implementation of artificial intelligence (AI) technologies in healthcare and biomedical sciences and is seeking input from industry stakeholders. The “Artificial Intelligence in Health, Health Care, and Biomedical Science: An AI Code of Conduct...


Today's Top Stories

Clinical tool predicts adoptive therapy response in eye cancer patients

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...

Machine learning framework captures uncertainty in medical images

Researchers from the Massachusetts Institute of Technology (MIT), Massachusetts General Hospital and the Broad Institute of MIT and Harvard have developed a machine learning approach to help capture...

Machine learning characterizes cardiac function, drug response

Columbia University researchers have developed a machine learning-based approach to assess cardiac function and drug response, according to a study published recently in IEEE Open Journal of...

Deep learning tool may reduce false-positives in screening mammography

Researchers have developed a deep learning tool capable of reducing false positives without missing true cases of breast cancer identified by screening mammography, according to a study published this...

National Academy of Medicine publishes AI Code of Conduct draft

The National Academy of Medicine (NAM) has published a draft framework for the responsible implementation of artificial intelligence (AI) technologies in healthcare and biomedical sciences and is...

10 high-value use cases for predictive analytics in healthcare

As healthcare organizations pursue improved care delivery and increased operational efficiency, digital transformation remains a key strategy to help achieve these goals. Many health systems’...

AI biomarker identifies aortic stenosis development, progression

A multi-institutional team of researchers has identified an artificial intelligence (AI)-based video biomarker capable of helping clinicians more accurately understand which patients are likely to...

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