Nature

Automated design of multi-target ligands by generative deep learning

Generative deep learning models enable data-driven de novo design of molecules with tailored features. Chemical language models (CLM) trained on string representations of molecules such as SMILES have ...
Nature

Reproducibility of digital pathology features extracted from deep learning and foundational AI models on sequential tissue slides

Numerous deep learning (DL) and foundational models (FMs) designed for digital pathology analysis employ advanced feature extraction techniques from digitized hematoxylin and eosin (H&E) slides ...