Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 16,491 to 16,500 of 213,568 articles

Assessing the Generalizability of Machine Learning and Physics-Based Methods with DNA-Encoded Libraries

bioRxiv
Predicting protein-ligand binding is a central challenge in computational drug discovery, and while machine learning (ML) and co-folding methods have advanced rapidly, their ability to generalize beyond training or parameterization regimes remains in... read more 

Discriminative Site-Directed Protein Engineering via Lightweight CASPE Platform

bioRxiv
Protein large language models (PLMs) provide a novel computational paradigm for the deep mining of sequence co-evolutionary information, significantly accelerating the generation of functional proteins for biotechnological and medical applications. H... read more 

Effects of Structural Reward Shaping on Biophysical Properties in RL-Trained Plasmid Generators

bioRxiv
We compare the efficacy and distributional effects of supervised fine-tuning (SFT) and reinforcement learning (RL) post-training for PlasmidGPT, a foundation model for whole-plasmid generation, using Group Relative Policy Optimization (GRPO) for the ... read more 

The Brain as Actor and Evaluator: Distinct Neural Codes for Timing and Self-Evaluation of Timing Errors Revealed by Transformer-Based Decoding

bioRxiv
Metacognitive self-evaluation, the capacity to assess one's own performance without external feedback, is fundamental to adaptive cognition. A central unresolved question in metacognition is whether self-evaluation reflects a direct readout of the ne... read more 

Engineering Endogenous T Cell Receptors to Recognize Cancer Neoantigens Using a Hybrid Physics-AI Approach

bioRxiv
T cell receptors (TCRs) are critical for immune surveillance and successful adaptive immune response against foreign antigens. TCRs drive this key arm of the immune system through recognition of peptide epitopes presented on MHC complexes. However, t... read more 

Automated robotic control system for EEG-BCI-guided closed-loop TMS

bioRxiv
Brain-state-guided and closed-loop transcranial magnetic stimulation (TMS) protocols have emerged as methods for decreasing the variability and increasing the therapeutic effectiveness of stimulation protocols. However, most existing brain-state-depe... read more 

A Comparative Evaluation of Structural MRI Foundation Models for Brain Age Regression and Sex Classification

bioRxiv
Foundation models pre-trained on large neuroimaging datasets offer a promising approach to overcome the limited sample sizes typical of mental health imaging studies, yet their generalization across diverse clinical populations remains unclear. We pr... read more 

PocketBagger: Generalizable pocket druggability prediction via positive-unlabeled learning

bioRxiv
Reliable structure-based prediction of small-molecule druggability is hindered by a fundamental labeling problem. Experimentally confirmed liganded sites (positives) are observable, but credible "undruggable" pockets (negatives) are almost impossible... read more 

Peripheral anatomy of the dolphin ear and associated nervous structures: insights from macroscopic dissection, DICE-{micro}CT, histology, and confocal microscopy

bioRxiv
The peripheral auditory system of dolphins comprises specialised bony, fatty, vascular, and neural structures adapted for underwater hearing and diving physiology. These include the external ear canal, acoustic fat bodies, sinuses, and associated neu... read more 

ToxCastLite: A portable semantic evidence graph linking in vitro bioactivity, in vivo toxicity, and exposure-use context

bioRxiv
Motivation: The ToxCast database is a valuable resource for computational toxicology and new approach methodologies (NAMs), but the approximately 100GB MySQL distribution is difficult to use for portable local analysis and cross-domain evidence minin... read more