AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...
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 ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...