A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.
One of the biggest myths around artificial intelligence is that it can simply create a new medicine on its own. That is not ...
Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.
Natera, Inc. , a global leader in cell-free DNA and precision medicine, today announced the publication of new data in JAMA Oncology, evaluating the utility of Signatera, its personalized molecular ...
Pediatric hospital medicine is rapidly advancing with new research focusing on clinical management, quality improvement, health equity, and technology. This summary highlights the top articles from ...
Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...
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