A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
Tech Xplore on MSN
Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Researchers say they are now able to predict Alzheimer’s disease with close to 93 percent accuracy using artificial ...
A new way to solve data scarcity: Turning qualitative reports into quantitative data with an LLM.
Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...
Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...
Researchers developed a machine-learning workflow that predicts how chemical reactions will form specific “handed” versions of molecules—critical for safe and effective drugs. Trained on small ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results