AI Medical Compendium

Quantification of edge-enhancing effects using accelerated deep learning reconstructed orbital MRI sequences.

European journal of radiology open May 15, 2026

RATIONALE AND OBJECTIVES: To qualitatively and quantitatively compare image quality, edge sharpness, and internal-structure delineation of accelerated deep learning-reconstructed turbo spin-echo (TSEDLR) sequences versus conventionally reconstructed ... read more

Local Quadrupole Ellipticity as Predictor of Anion-Affinity in Nanographenes.

Journal of computational chemistry May 15, 2026

Anion binding to nanographenes is governed by noncovalent interactions, particularly anion-π interactions in electron-deficient aromatic regions and CH---anion hydrogen bonding in electron-rich domains. These interactions are primarily driven by elec... read more

Machine learning in diagnostic stewardship: A technical approach in improving diagnostic accuracy, optimizing antibiotic use in false positive CSF cultures.

Journal of microbiological methods May 15, 2026

Diagnostic stewardship emphasises ordering the right tests, at the right time for the patient and also promotes the judicious use of rapid and accurate molecular diagnostic tools to enable the initiation of proper antibiotic therapy, while avoiding e... read more

Human rights violations reporting dataset.

Data in brief May 15, 2026

Human rights research increasingly employs computational text analysis, but existing datasets provide either document-level aggregations or event-level extractions from news sources, limiting fine-grained analysis of primary organizational reports. W... read more

Artificial Intelligence-Enhanced Identification of Incidental Findings in Prostate MRI.

Investigative radiology May 15, 2026

OBJECTIVES: The use of prostate magnetic resonance imaging (MRI) is increasing, and coverage often captures substantial portions of the pelvis, visualizing findings outside the prostate gland. The objective of this study was to evaluate the feasibili... read more

Leveraging Chemical Hidden-Space Representations Effectively in Bayesian Optimization for Experiment Design through Dimension-Aware Hyperpriors.

Journal of chemical theory and computation May 15, 2026

Hidden-space molecular representations derived from pretrained graph neural networks, transformer models, and large language models offer an appealing alternative to conventional encodings for Bayesian optimization (BO) in chemical experiment design.... read more

Remission, Relapse, and Thyroid-Related Parameters Measurement at Discontinuation of Low-Dose Anti-Thyroid Drugs in Graves' Disease.

Endocrinology and metabolism (Seoul, Korea) May 15, 2026

BACKGROUND: This study aimed to elucidate the relationship between thyroid-related parameters and the prognosis of Graves' disease (GD). METHODS: This retrospective cohort study included patients newly diagnosed with GD between January 2009 and Decem... read more

Thiazolyl Blue as a High-Efficiency Leveler for Conformal Copper Electrodeposition in High-Aspect-Ratio PCB Through-Holes.

Langmuir : the ACS journal of surfaces and colloids May 15, 2026

Driven by the rapid development of 5G/6G communications, high-performance computing, and artificial intelligence, the metallization of high-aspect-ratio through-holes (THs) in printed circuit boards (PCBs) imposes stringent requirements on the thickn... read more

PythiaStudio: a one-stop protein engineering platform powered by Pythia model suite.

Nucleic acids research May 15, 2026

Predicting how mutations affect protein stability and protein-protein binding affinity is crucial for protein engineering and drug development. Although several computational tools have been developed for these tasks, they often require specialized e... read more

Diffusion-Based Generative Model With Scaffold-Hopping Strategy Yields Highly Potent Bioactive Molecules.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) May 15, 2026

As a critical step in drug discovery, lead optimization is a profoundly complex endeavor with a notoriously high failure rate, as it necessitates the simultaneous optimization of multiple, often conflicting parameters, including physicochemical prope... read more

Artificial Intelligence Medical Compendium