DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Please document the nature of the medical emergency. [PDF]
Gold JA.
europepmc +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Evidence, use cases, and implementation safeguards of large language models in primary care. [PDF]
Christof M +3 more
europepmc +1 more source
Using natural language processing and machine learning to identify social needs in patient medical notes: model training with balanced versus real-world datasets. [PDF]
Kitchen C +5 more
europepmc +1 more source
Artificial Intelligence-Based Detection of Colonic Angiodysplasia Can Improve Endoscopic Reporting Consistency. [PDF]
Kafetzis I +6 more
europepmc +1 more source
Knowledge-Augmented Large Language Model for Autonomous MODFLOW 6 Input File Generation. [PDF]
Krčmář D +3 more
europepmc +1 more source
Editorial: Advancing biostatistics and informatics applications in mental health research. [PDF]
Zeng IS, Kessler R.
europepmc +1 more source
Local Deployment of Open-Weight Language Models in Dermatology: Viewpoint on Privacy, Equity, and Practical Implementation. [PDF]
Nahm WJ, Yin ES, Milam EC, Weed JG.
europepmc +1 more source

