• Top 12 ways artificial intelligence will impact healthcare

    April 23, 2024 - Data have become increasingly valuable across industries as technologies like the Internet and smartphones have become commonplace. These data can be used to understand users, build business strategies and deliver services more efficiently. However, healthcare data are some of the most precious — and most targeted — sources of...

  • Survey reveals physicians’ optimism, concerns around generative AI

    April 22, 2024 - A recent survey commissioned by Wolters Kluwer Health found that physicians are increasingly optimistic about the use of generative artificial intelligence (AI) in healthcare, but maintain key concerns around the deployment of these technologies. The online survey polled 100 United States-based physicians who work in large hospitals or health...

  • Deep learning tool may advance precision medicine approaches

    April 19, 2024 - Researchers from Clemson University have developed a deep learning tool to better understand how gene-regulatory network (GRN) interactions impact individual drug response, according to a study published recently in Nature Biotechnology. GRNs “map the complex interactions between genes, regulatory elements and proteins, holding the key to...

  • 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...


Today's Top Stories

Top 12 ways artificial intelligence will impact healthcare

Data have become increasingly valuable across industries as technologies like the Internet and smartphones have become commonplace. These data can be used to understand users, build business strategies...

Machine learning approach predicts heart failure outcome risk

Researchers from the University of Virginia (UVA) have developed a machine learning tool designed to assess and predict adverse outcome risks for patients with advanced heart failure with reduced...

Survey reveals physicians’ optimism, concerns around generative AI

A recent survey commissioned by Wolters Kluwer Health found that physicians are increasingly optimistic about the use of generative artificial intelligence (AI) in healthcare, but maintain key concerns...

Deep learning tool may advance precision medicine approaches

Researchers from Clemson University have developed a deep learning tool to better understand how gene-regulatory network (GRN) interactions impact individual drug response, according to a study...

Artificial intelligence tools improve skin cancer diagnostic accuracy

Artificial intelligence (AI)-driven tools can improve the skin cancer diagnostic accuracy of clinicians, nurse practitioners and medical students, according to a study published last week in npj...

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...

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