As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...
Remember Steam Machines? Valve do, and they’re making a new one. The circa-2026 Steam Machine (it’s out early next year, date and prices TBC) seeks to cleanse the bad juju of that previous attempt at ...
Abstract: High-cardinality categorical variables pose significant challenges in machine learning, particularly in terms of computational efficiency and model interpretability. Traditional one-hot ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Purpose: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in patients with diabetic macular edema (DME). Methods: This retrospective study included patients with ...
Background: Sepsis associated encephalopathy (SAE) is prevalent among elderly patients in the ICU and significantly affects patient prognosis. Due to the symptom similarity with other neurological ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
A new artificial intelligence model developed by researchers at the University of Wisconsin–Madison has demonstrated improved accuracy in forecasting corn yields across the U.S. Corn Belt by ...
Abstract: In data analysis, a significant amount of erroneous or incomplete data can hinder informed organizational decisions prompting the need for automated data cleaning. Leveraging successful ...