Artificial Intelligence Medical Compendium

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

Showing 1,321 to 1,330 of 163,745 articles

Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design

arXiv
Traditional drug discovery relies on rounds of screening millions of candidate molecules with low success rates, making drug discovery time and resource intensive. To overcome this screening bottleneck, we introduce Latent-X, an all-atom protein de... read more 

Machine Learning-Driven Prediction of Electrochemical Promotion in the Reverse Water Gas Shift Reaction.

Journal of chemical information and modeling
Electrochemical promotion of catalysis (EPOC) provides an effective and versatile strategy to enhance catalytic activity, selectivity, and stability in the reverse water-gas shift (RWGS) reaction, facilitating efficient CO hydrogenation to syngas und... read more 

Machine Learning Identification of Athlete Sport Type Through ECG Analysis.

Circulation. Arrhythmia and electrophysiology
read more 

Considerations on GPT-4o and Gemini Flash 2.0 in Acne/Rosacea.

International journal of dermatology
read more 

Protein N-Terminal Modification: Recent Advances in Chemical and Enzymatic Strategies.

Chemistry (Weinheim an der Bergstrasse, Germany)
Site-specific modification of protein termini, particularly the N-terminus, has emerged as a cornerstone of chemical biology and biotechnology, facilitating the engineering of therapeutic proteins and functional biomaterials. The N-terminus, with its... read more 

Face2VoiceSync: Lightweight Face-Voice Consistency for Text-Driven Talking Face Generation

arXiv
Recent studies in speech-driven talking face generation achieve promising results, but their reliance on fixed-driven speech limits further applications (e.g., face-voice mismatch). Thus, we extend the task to a more challenging setting: given a fa... read more 

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.

Stroke
BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifying stroke types and subtypes using electronic health records remains challenging due to limitations in structured data. This often necessitates manual... read more 

Methinks AI software for identifying large vessel occlusion in non-contrast head CT: A pilot retrospective study in American population.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
BackgroundNon-contrast computed tomography (NCCT) is the first image for stroke assessment, but its sensitivity for detecting large vessel occlusion (LVO) is limited. Artificial intelligence (AI) algorithms may contribute to a faster LVO diagnosis us... read more 

PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation

arXiv
Drug-drug interactions (DDIs) arise when multiple drugs are administered concurrently. Accurately predicting the specific mechanisms underlying DDIs (named DDI events or DDIEs) is critical for the safe clinical use of drugs. DDIEs are typically rep... read more