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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
Correctly distinguishing between related neurodegenerative diseases remains challenging for clinicians, because reliable markers do not yet exist for many disorders. In the July 22 Neurology, ...
Donafenib plus TACE with or without PD-(L)1 inhibitors for the treatment of unresectable hepatocellular carcinoma: A multi-center retrospective study. This is an ASCO Meeting Abstract from the 2025 ...
Outcomes of liver transplant recipients with pretransplant malignancies: Insights from a single institution’s experience. Biomarker testing and targeted therapy use among patients with non-small cell ...
Widespread machine learning methods behind ‘link prediction’ are performing very poorly, study shows
As you scroll through any social media feed, you are likely to be prompted to follow or friend another person, expanding your personal network and contributing to the growth of the app itself. The ...
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