Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

The field of oncology is currently undergoing a transformation driven by high-throughput proteomics, genomics, and advanced single-cell technologies. These ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and ...

The large language model automates literature search, synthesis, and structural analysis to speed up materials discovery and ...

Researchers have developed a human intestinal cell model that closely mimics the structure and function of the human gut, enabling more precise prediction of drug-induced gastrointestinal toxicity ...

In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?

Researchers developed a machine-learning workflow that predicts how chemical reactions will form specific “handed” versions of molecules—critical for safe and effective drugs. Trained on small ...

Cancer immunotherapies often rely on activating immune responses, yet many tumors remain resistant because their internal survival mechanisms are poorly understood.

Abstract: As Large Language Models (LLMs) are increasingly deployed across industries, evaluating their performance remains a core challenge. In collaboration with Deloitte, this study compares ...