AI Medical Compendium

Design and Biomedical Applications of Bioactive Clusters.

Chemistry (Weinheim an der Bergstrasse, Germany) Feb 17, 2026

Bioactive clusters exhibit diverse biological activities, including biocatalytic and optical activities, photothermal and photodynamic effects. These activities can be precisely tuned owing to the clusters' well-defined atom structures, which improve... read more

Sequential Optimization of Multivariate Metal-Organic Framework Based Biocatalysis.

Small (Weinheim an der Bergstrasse, Germany) Feb 17, 2026

Efficient biocascades require integrated optimization of both biocatalysts and reaction conditions. In the present study, we employ a Latin hypercube sampling-coupled Bayesian optimization (LHS-BO) workflow to sequentially optimizes multivariate Zr-b... read more

Development of Optical Character Recognition-Based Quality Control Process of Paper-Based Consent Forms.

Biopreservation and biobanking Feb 17, 2026

BACKGROUND: The efficient management of consent information is essential for the ethical and legal handling of biobank resources in accordance with participant consent. However, many traditional biobanks rely on paper-based consent forms, which are o... read more

The Generative Artificial Intelligence (GenAI) Divide: Exploring the Individual Factors Influencing GenAI Competency, Adoption Readiness, and Psychological Barriers.

Cyberpsychology, behavior and social networking Feb 17, 2026

Generative artificial intelligence (GenAI), a branch of AI capable of producing novel content from human input, is poised to transform various aspects of society. However, the benefits and challenges of GenAI adoption are not equally distributed, con... read more

Deep neural networks to register and annotate cells in moving and deforming nervous systems.

eLife Feb 17, 2026

Aligning and annotating the heterogeneous cell types that make up complex cellular tissues remains a major challenge in the analysis of biomedical imaging data. Here, we present a series of deep neural networks that allow for automatic non-rigid regi... read more

FastCCS: A Deep Learning Framework for Accurate Collision Cross-Section Prediction from SMILES with Broad Applications in Cheminformatics and Omics.

Analytical chemistry Feb 17, 2026

One of the best ways to analyze complex samples is ion-mobility-mass spectrometry (IM-MS). A crucial capability of IM-MS is the ability to compare changes in the analyte structures over time. In analytical and structural chemistry, collision cross-se... read more

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 17, 2026

Early diagnosis of soil-borne diseases like root rot is a long-standing challenge in agriculture. While microbial functional genes are recognized as potent indicators of soil healthy, their application has been primarily limited to current or past so... read more

Design and Optimization of Full-Stokes Hyperspectro-Polarimetric Encoding Metasurfaces Based on Conditional Multi-Task Deep Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 17, 2026

Metasurfaces, as two-dimensional metamaterials, offer an unprecedented avenue for multidimensional optical detection. However, existing full-Stokes hyperspectro-polarimetric encoding metasurface (FHPEM) designs rely on iterative trial-and-error proce... read more

Integrating qHTS and QSAR Models to Identify Safe GPCR-Targeted Compounds: A Focus on hERG-Dependent Cardiotoxicity.

Journal of chemical information and modeling Feb 17, 2026

G-protein-coupled receptors (GPCRs) are a diverse family of seven-transmembrane domain receptors that play pivotal roles in various physiological and neurological processes by mediating extracellular signals through G proteins. Notable GPCRs such as ... read more

Graphdiyne-assisted LDI-MS for rapid, non-invasive urine metabolomic profiling in tuberculosis screening.

The Analyst Feb 17, 2026

Tuberculosis (TB) remains a major global health burden. Here we report a rapid, noninvasive urine-based metabolomics approach using graphdiyne (GD)-assisted laser desorption ionization mass spectrometry (LDI-MS) combined with machine learning. We app... read more

Artificial Intelligence Medical Compendium