Artificial Intelligence Medical Compendium

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

Showing 3,801 to 3,810 of 203,255 articles

PPAOT predictor: ARKA-RASTR strategy-driven rodent acute oral toxicity prediction for pyrazole and pyrrolidine scaffolds-based chemicals with intelligent mechanistic interpretation.

Archives of toxicology
Pyrazole and pyrrolidine represent two classes of high-frequency nitrogen-containing "privileged scaffolds" in drug discovery and industrial chemicals; however, their potential acute toxicity poses significant challenges to clinical translation and i... read more 

Associations of serum per- and polyfluoroalkyl substances (PFAS) mixture with the risk of chronic diseases: evidence from single‑ , multi-pollutant, and machine learning models.

Archives of toxicology
Per- and polyfluoroalkyl substances (PFAS) are persistent chemicals commonly found in consumer products. Despite growing concern over their health effects, their associations with chronic diseases in humans are still unclear. We included 10,093 parti... read more 

Deep Learning-Based Acoustic Screening for Penetration-Aspiration Events Using Short Voice Recordings.

Dysphagia
To evaluate the feasibility of a smartphone-based deep learning artificial intelligence (AI) tool for detecting post-swallow airway compromise through brief acoustic analysis of voice recordings obtained before and after swallowing. This multicenter ... read more 

[Artificial intelligence in molecular pathology : Introduction and overview].

Pathologie (Heidelberg, Germany)
Over the past approximately 15 years, pathology has undergone a significant transformation, accompanied by increasing mechanization, technological advancement, and digitization within the field. Molecular pathology plays a significant role in this co... read more 

A Foundation Model Based CT Biomarker for Non-Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non-Small Cell Lung Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Predicting pathological complete response (pCR) to neoadjuvant immunochemotherapy in non-small cell lung cancer (NSCLC) is clinically important yet remains challenging. Here, we introduce a foundation model-derived computed tomography (CT) imaging bi... read more 

ProSiteHunter: A Unified Framework for Sequence-Based Prediction of Protein-Nucleic Acid and Protein-Protein Binding Sites.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Accurate identification of protein binding sites is essential for elucidating protein function, decoding molecular recognition, and guiding drug design. However, existing sequence-based approaches are often designed for specific binding-site types an... read more 

De Novo Design of Membrane-Targeting Antimicrobial Peptides Against Gram-Negative Bacteria Using a Generative Artificial Intelligence Framework.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Antimicrobial resistance (AMR), particularly Gram-negative bacteria, poses significant challenges due to their robust outer membranes limiting antibiotic efficacy. Antimicrobial peptides (AMPs) show promising potential to replace traditional antibiot... read more 

Machine-Learning-Assisted Triple-Gated Raman Enhancement Platform for Selectively Quantifying Lysophosphatidylcholine (16:0) as a Potential Biomarker for Cognitive Impairments.

ACS nano
Accurate quantification of structurally similar metabolites as biomarkers in biofluids has remained a longstanding challenge. Here, we report a semiconductor-organic hybrid interface (ZrS2@ZrOx-C16) with a triple-gated molecular recognition environme... read more 

Policymakers and Researchers Zero In On the Impact of AI Toys.

Journal of medical Internet research
Artificial intelligence has made its way into children's toys. In this News and Perspectives article, JMIR Correspondent Simon Spichak reports on the potential implications for children's development and well-being. read more