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Large language models can analyze diverse clinical notes on a large scale to reveal the quality of primary care, say researchers after demonstrating how this form of artificial intelligence can track medication side effects among children with attention deficit hyperactivity disorder.
Precision Oncology Today
Magazine
The Importance of Increasing Diversity in Clinical Trials
Before reaching the market, new drugs are tested in people who voluntarily participate in clinical trials. However, for a new medicine to work in as many people as possible, these drugs should be tested in a patient population that is as diverse as possible.
When It Comes to Space Precision Medicine, the Sky Is the Limit—Literally
Based on a growing body of data, some experts believe that pharmacogenomics-guided spaceflight is the foundation of precision medicine, a feature that they believe will enable long-term human habitation on the Moon.
Trending on Inside Precision Medicine
New Genetic Variants May Help Explain Why More Boys Get Autism
This gene has long eluded us. The findings support a direct link between DDX53 and autism, which is not only crucial for future clinical genetic testing, but its discovery suggests that the pathway it affects is related to the behavioral traits of autism, opening a whole new area of exploration.
Machine Learning Uncovers Osteosarcoma Subtypes, Paving the Way for Personalized Medicine
The breakthrough uses a machine learning technique called Latent Process Decomposition (LPD) to analyze genetic data and categorize patients more accurately.
AI Crunches Clinical Notes to Highlight Care Improvement Opportunities
Large language models can analyze diverse clinical notes on a large scale to reveal the quality of primary care, say researchers after demonstrating how this form of artificial intelligence can track medication side effects among children with attention deficit hyperactivity disorder.
