Results 271 to 280 of about 2,927,558 (337)
Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework
PROTAC‐STAN, a structure‐informed deep learning framework is presented for interpretable PROTAC degradation prediction. By modeling molecular hierarchies and protein structures, and simulating ternary interactions via a novel attention network, PROTAC‐STAN achieves significant performance gains over baselines.
Zhenglu Chen +11 more
wiley +1 more source
Development of machine learning-based mpox surveillance models in a learning health system. [PDF]
Reyes Nieva H +6 more
europepmc +1 more source
Interpretable Multimodal Fusion Model Enhances Postoperative Recurrence Prediction in Gastric Cancer
An interpretable multimodal fusion model (RSA) integrating clinical, radiomic, and pathomic features is developed and validated to predict early postoperative recurrence in gastric cancer. The RSA model demonstrates superior predictive performance and holds potential for guiding adjuvant chemotherapy decisions and improving individualized patient ...
Ping'an Ding +16 more
wiley +1 more source
Contrastive learning-enhanced personalized interaction dual tower network for recommendation. [PDF]
Yang F, Wang B, Li P.
europepmc +1 more source
Erratum to : A Recall of the Completed and of the Uncompleted Tasks and Retroactive Inhibition
openalex +2 more sources
Researchers developed SCORCH2, an advanced machine‐learning scoring function for virtual screening that combines two complementary XGBoost models to re‐evaluate protein‐ligand binding plausibility. The method demonstrates superior performance on standard benchmarks, shows excellent generalization to previously unseen protein targets, and provides ...
Lin Chen +3 more
wiley +1 more source
A YOLO Ensemble Framework for Detection of Barrett's Esophagus Lesions in Endoscopic Images. [PDF]
Lin WC +5 more
europepmc +1 more source
Completion-incompletion of tasks and pleasant-unpleasant toned feeling in selective recall
山内 弘継
openalex +2 more sources
This study explores the therapeutic potential of iNSC‐Exo via local and systemic delivery in TBI mice. It is found that iNSC‐Exo enhances NRXN signaling through Microglia_Nrg3 and Microglia_Rarb, effectively promoting functional and neurological recovery, suggesting a new therapeutic strategy for TBI. Abstract Traumatic brain injury (TBI) poses serious
Jiaojiao Li +9 more
wiley +1 more source

