AI Medical Compendium

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 25, 2026

Cancer immunotherapy, which leverages the immune system to combat tumor cells, has made significant advancements in oncology treatment in recent years. Yet significant challenges remain in predicting treatment responses and understanding mechanisms o... read more

High-quality quantum chemical data for spin state determination in transition-metal complexes.

Physical chemistry chemical physics : PCCP Feb 25, 2026

Machine learning (ML) models have achieved remarkable success in organic chemistry, where reliable reference data, most commonly from density functional theory (DFT), enable accurate predictions. In contrast, ML approaches remain far less reliable fo... read more

What practicing pathologists and oncologists should know about the new computational pathology-based companion diagnostic tools.

The Journal of pathology Feb 25, 2026

The integration of artificial intelligence into pathology is transforming the assessment of histological and immunohistochemical (IHC) slides, offering opportunities to reduce variability and streamline diagnostics. In practical terms, most available... read more

"Mapping" artificial intelligence in histopathology: Four reflections on scope, generalization drift, augmentation, and the consequences of errors.

Veterinary pathology Feb 25, 2026

Multi-Scale Mapping of Gene Expression from Whole-slide Images for Identifying Phenotype-Associated Subpopulations.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 25, 2026

Discovery of phenotype-associated subpopulations is critical for targeted therapies and prognostic biomarker discovery, which requires multi-scale gene expression. Deep learning advancements have enabled cost-effective genetic alteration inference fr... read more

Automatic assessment of voice quality using machine learning.

Logopedics, phoniatrics, vocology Feb 25, 2026

OBJECTIVES: This study aimed to develop and validate machine learning (ML) models for automated prediction of perceptual dysphonia severity, as indexed by the Grade (G) parameter of the GRBAS scale, using acoustic analyses of sustained vowels. The ov... read more

DFT insights into the stability of single-metal-atoms on Mo-based o-MXenes driven by the ligand effect.

Physical chemistry chemical physics : PCCP Feb 25, 2026

MXenes, a novel class of two-dimensional transition metal carbides, nitrides or carbonitrides, have emerged as promising supports for single-atom catalysts owing to their tunable structural and electronic properties. Using density functional theory c... read more

A multimodal approach integrating spectroscopy, deep learning guided molecular docking, and molecular dynamics simulation for predictive assessment of pioglitazone to albumin binding for formulation development.

Analytical methods : advancing methods and applications Feb 25, 2026

Binding affinity is a critical parameter that can influence the state of the drug in vivo and help to define the formulation strategy. The current study implements a multimodal approach to analyse the binding affinity between human serum albumin (HSA... read more

Toward Generalizable Data-Driven Pharmacokinetics with Interpretable Neural ODEs.

Journal of chemical information and modeling Feb 25, 2026

Accurate modeling of drug concentration-time (C-t) profiles is central to pharmacokinetics (PK) and plays a critical role in both early-stage compound selection and late-stage individualized dosing. Traditional PK models offer mechanistic interpretab... read more

Comparative performance of tristimulus and color appearance models in low-cost smartphone digital colorimetry for soil CO2 detection.

The Analyst Feb 25, 2026

The verification of carbon capture and storage (CCS) sites and the monitoring of soil health demand cost-effective and scalable methods for detecting carbon dioxide (CO2) leaks. While smartphone-based digital colorimetry offers a promising alternativ... read more

Artificial Intelligence Medical Compendium