Tag: Machine learning

A retrospective study in Diagnostic Pathology found that a biopsy-trained AI algorithm achieved 94.3% sensitivity for detecting incidental prostate adenocarcinoma ...

Researchers have introduced an averaged hybrid quantum-classical machine learning framework that significantly boosts accuracy and noise resilience when predicting groundwater ...

A secondary analysis of the VitalDB Arrhythmia Database shows that a five-minute intraoperative heart rate variability profile can predict significant ...

A preclinical study demonstrates that combining shear wave elastography and ultrasound localization microscopy improves noninvasive liver fibrosis staging in rats ...

A machine learning and bioinformatics study identified six potential hub genes linking the organophosphate flame retardant TDCPP to endometrial cancer ...

Researchers developed a computational method called FLIP that removes starlight from JWST images with a sensitivity two to 15 times ...

Researchers integrating bioinformatics, machine learning, clinical validation and in vitro experiments identified MINPP1, HES4 and SLCO5A1 as core signature genes ...

Volume 43 of SLAS Discovery presents AI-guided screening, automated platforms and new cell-based assays that accelerate drug discovery across infectious ...

EIHR-PROT combines protein language model embeddings with homology search priors through a learned gate that adjusts fusion weights based on ...

A new framework called PoAC allows users to define specific clustering goals, outperforming traditional AutoML methods in visualization and anomaly ...