A fused weighted federated learning-based adaptive approach for early-stage drug prediction
The primary concern of machine vision in assisting physicians and patients is the early-stage prediction of drugs and monitoring to...
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How AI and machine learning are transforming drug discovery
Credit: Shutterstock AI is revolutionizing drug discovery with its ability to analyze vast datasets. Particularly beneficial in the early drug...
Machine learning method improves accuracy of inverse protein folding for drug design
Mask-prior-guided denoising diffusion (MapDiff) for inverse protein folding. Credit: Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01042-6 An AI approach developed by...
Geometric machine learning method promises to accelerate precision drug development
by CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences Comparison between crystallographic data and AlphaFold2 predictions....
Synergizing quantum techniques with machine learning for advancing drug discovery challenge
Contest problemIn this subsection, we first provide a comprehensive background of the contest, setting the stage for a deeper understanding...
Deep learning methods for drug response prediction in cancer: Predominant and emerging trends
1. Introduction Cancer treatment response prediction is a problem of great importance for both clinical and pharmacological research communities. Many...
