Artificial Intelligence Medical Compendium

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

Showing 50,711 to 50,720 of 225,062 articles

NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 13, 2026
Chromatin loops play a crucial role in gene regulation and cellular function, providing key insights into understanding the 3D structure of the genome and its impact on cellular homeostasis. Nanopore sequencing technology, with its advantages in simu... read more 

Vector-Based Comparison and Average Slope Can Refine Bioequivalence Claims: A Machine and Deep Learning Approach.

Biopharmaceutics & drug disposition Feb 13, 2026
This study explored the advantages of two innovative concepts: AS and VBC. AS is a pharmacokinetic parameter that measures absorption rates, whereas VBC analyzes clinical endpoints as vectors, breaking them into independent components. Together, thes... read more 

Unlocking Multiscale Allosteric Mechanisms: Advanced Computational Strategies for Drug Discovery.

Medicinal research reviews Feb 13, 2026
Multiscale allosteric mechanisms refer to regulatory processes in proteins that involve coordinated conformational changes and signal transmission occurring across multiple spatial and temporal scales. Exploiting these mechanisms provides promising o... read more 

Machine Learning-Assisted Detection of Phosgene and Acetyl Chloride via a Dual-Probe Fluorescent Platform with Differential Reactivity.

Analytical chemistry Feb 13, 2026
Phosgene and acyl chlorides are highly toxic chemicals that pose serious threats to human health and environmental safety, yet their rapid and reliable detection remains a major challenge due to their high reactivity and environmental interferences. ... read more 

TropMol: a cloud-based web tool for virtual screening and early-stage prediction of acetylcholinesterase inhibitors using machine learning.

Organic & biomolecular chemistry Feb 13, 2026
Alzheimer's disease (AD) is the most common type of dementia, accounting for at least two-thirds of dementia cases in people aged 65 and older. Numerous approaches have been studied for the treatment of this disease, including the cholinergic hypothe... read more 

Molecular fluorophore dimerization: a new paradigm for precision phototheranostics.

Chemical Society reviews Feb 13, 2026
Molecular fluorophore dimerization has recently emerged as a powerful and versatile design strategy in phototheranostics, offering a distinct regulatory regime that is fundamentally different from conventional single-molecule, polymeric, or aggregate... read more 

Evolution from Analyte to Sensitive Signal Probe: Norfloxacin-Based Assembly for Machine-Learning-Assisted Discrimination of Phosphates and Monitoring of ATP Hydrolysis.

Analytical chemistry Feb 13, 2026
The development of sensor arrays for effective discrimination of structurally similar physiological phosphates (PPs) in mixtures presents a considerable challenge. We propose a new strategy based on concentration-regulated supramolecular assembly to ... read more 

CellMate─A Deep Learning-Assisted Single-Cell Data Processing Platform.

Analytical chemistry Feb 13, 2026
Mass spectrometry-based single-cell metabolomics (SCM) reveals the inherent heterogeneity of individual cells among seemingly identical cell types. Fast-scanning and high-resolving mass analyzers provide the sensitivity and specificity required to pr... read more 

Robotic-assisted versus conventional total knee arthroplasty for treating osteoarthritis.

The Cochrane database of systematic reviews Feb 13, 2026
This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the benefits and harms of robotic-assisted versus conventional total knee arthroplasty for the treatment of osteoarthritis. read more 

Machine Learning and Computer Simulation Disentangle the Fuzzy Inhibitor Binding by Hsp90.

Journal of chemical theory and computation Feb 13, 2026
Heat shock protein 90 (Hsp90) is a key cancer drug target, yet the highly flexible N-terminal ATP-binding pocket yields seemingly conflicting crystallographic and NMR inhibitor-binding models, complicating rational design. Here we integrate >100 μs o... read more 
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