A computational tool has accurately predicted a drug combination that inhibited triple-negative breast cancer in in vitro experiments. Researchers at the Icahn School of Medicine at Mount Sinai (NY, ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
NEW YORK--(BUSINESS WIRE)--Schrödinger, Inc. (Nasdaq: SDGR), whose physics-based computational platform is transforming the way therapeutics and materials are discovered, today announced that it is ...
VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers you can trust.
Engineers have developed a groundbreaking computational model to study the movement of granular materials such as soils, sands and powders. By integrating the dynamic interactions among particles, air ...
Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...
PRESCIENTai, an AI-based digital histopathological image signature for risk of late distant recurrence and extended endocrine therapy (EET) benefit in hormone receptor–positive breast cancer. Use of a ...
A new model accurately predicts the movement of elite athletes to catch the ball in parabolic flight
How does a tennis player like Carlos Alcaraz decide where to run to return Novak Djokovic's ball by just looking at the ball's initial position? These behaviours, so common in elite athletes, are ...
Sanford Burnham Prebys is one of several institutions contributing to the federally funded project called PREDICTS ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
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