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 ...
As artificial intelligence rapidly advances, how do we assess whether these systems are truly effective, ethical, and safe? Evaluation methods need to evolve beyond straightforward accuracy metrics to ...
Systematic review and meta-analysis of the accuracy and applicability of blood-based multi-cancer early detection (MCED) in the general population. This is an ASCO Meeting Abstract from the 2023 ASCO ...
Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...
Strokes are a leading cause of death and disability worldwide, and prompt diagnosis and treatment are crucial to preventing devastating outcomes. However, diagnosing strokes can be challenging due to ...
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Machine learning improves accuracy of climate models—particularly for compound extreme events
Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...
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Machine learning tool helps evaluate ICU resource efficiency in severe pneumonia care
A study published in the Journal of Critical Care, conducted with the participation of the D'Or Institute for Research and Education (IDOR), investigated how to measure efficiency in the use of ...
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Scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.
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