Predictions of most machine learning (ML) models including all deep learning models 1 cannot be rationalized via human reasoning, which is often referred to as the “black box” nature of such models 2.
Predictive Oncology Inc. announced the successful development of predictive models for 21 unique compounds sourced from the University of Michigan's Natural Products Discovery Core, marking a ...
Development of machine learning models to identify potentially active compounds against tuberculosis
Tuberculosis (TB) is a contagious bacterial disease affecting millions of people globally and is one of the major causes of morbidity and mortality, particularly in the developing world. The spread of ...
A study published in the Journal of Medicinal Chemistry presents a new family of candidate compounds for the treatment of Alzheimer's disease and pain, which have shown promising effects in animal ...
A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting the modification of material properties. Artificial intelligence models ...
The compound was later shown to boost autophagy function in mammalian cell model systems. WashU Medicine researchers also have shown that G2 can protect brain cells from death in cells modeling ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results