A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
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, ...
AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...
WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...
More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...
Bitcoin price is down again, but our machine learning algorithm suggests that the ongoing decline is short-term.
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