Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...
Lawrence Berkeley National Laboratory (Berkeley Lab) is working to transform petabytes of imaging data from advanced light ...
Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
Osteoarthritis remains a major contributor to chronic pain, with currently available pharmacological treatments often proving limited and insufficient. A significant challenge in developing effective ...
Using detailed surveys and machine learning computation, new research co-authored at UC Berkeley's Center for Effective Global Action finds that eradicating extreme poverty would be surprisingly ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Automatic for the People: What Has Machine Learning Analysis of Positron Emission Tomography Left for the Physician? The following represents disclosure information provided by authors of this ...
Erratum: Randomized Comparison of Intensified Six-Drug Versus Standard Three-Drug Chemotherapy for High-Risk Nonmetastatic Rhabdomyosarcoma and Other Chemotherapy-Sensitive Childhood Soft Tissue ...
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