Tag: Machine learning

A retrospective study of 473 patients shows that admission D-dimer levels combined with CT-measured total bleeding volume and interpretable machine ...

A new decentralized multi-agent AI framework that mirrors hospital referral hierarchies outperformed monolithic transformer models in predicting diagnoses from electronic ...

A Kazakhstani research team shows that physically structured features and calibrated baselines, not model architecture, drive a tenfold improvement in ...

A new review maps how green solvents, enzymatic pretreatments, and artificial intelligence are transforming the extraction of valuable bioactive compounds ...

Researchers have built a nomogram that fuses spectral CT imaging data with clinical blood markers to predict how aggressively colorectal ...

Researchers trained machine learning models on satellite oceanographic data to accurately predict microplastic abundance across the Indian Ocean.

A five-year study of nine commodities in Maharashtra found that ensemble machine learning models beat seasonal benchmarks but could not ...

An adaptive artificial intelligence framework slashes the computational cost of screening billion-molecule chemical libraries while experimentally confirming high-quality ligand hits ...

A new computational study shows that codon optimality, one of the strongest sequence determinants of messenger RNA half-life, does not ...

A major new review argues that classical numerical methods and machine learning are epistemologically distinct tools for solving partial differential ...