AI Medical Compendium

Capturing "source" and "evolution": A 5-year recurrence risk prediction model for nasopharyngeal carcinoma based on integrated radiomic spatial heterogeneity of primary tumor and lymph nodes.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 28, 2026

OBJECTIVE: This study aims to deeply mine the radiomic features of the primary tumor (GTVp) and cervical metastatic lymph nodes (GTVn) in nasopharyngeal carcinoma (NPC) to construct a multi-target synergistic prediction model. The goal is to achieve ... read more

Source characterization of trace elements and impacts of salinization using geochemical modelling with machine learning approach and Monte-Carlo based health risk assessment in coastal aquifer zones.

Environmental pollution (Barking, Essex : 1987) Apr 28, 2026

This work investigated the trace element contamination, spatial distribution and their source of origin along with health risk assessment in the coastal region of eastern India. Geochemical modelling, Principal Component Analysis-Multiple Linear Regr... read more

A physically constrained and interpretable deep learning framework for PM2.5 inversion under sparse monitoring conditions in arid regions.

Environmental pollution (Barking, Essex : 1987) Apr 28, 2026

Monitoring fine particulate matter (PM2.5) in arid regions remains difficult due to sparse ground-based networks and frequent extreme pollution episodes. Conventional inversion models often fail to capture these sudden concentration spikes. To addres... read more

Maximizing efficiency of dataset compression for machine learning potentials with information theory.

The Journal of chemical physics Apr 28, 2026

Machine learning interatomic potentials (MLIPs) balance high accuracy and lower costs compared to density functional theory calculations, but their performance often depends on the size and diversity of training datasets. Large datasets improve model... read more

Trajectory excited-state dynamics study of pyrazine: Assessment of potential energy surfaces and simulation of picosecond timescales.

The Journal of chemical physics Apr 28, 2026

The femtosecond and picosecond excited-state dynamics of pyrazine are studied using full-dimensional trajectory surface hopping (TSH) dynamics simulations. We assess how different types of potential energy surfaces (PESs) influence the simulated dyna... read more

TcrDesign: de novo design of epitope-specific full-length T cell receptors.

Science China. Life sciences Apr 28, 2026

T cell receptors (TCRs) are essential for adaptive immune recognition. Recently, computational tools have been developed to predict the interactions between TCR and epitope, and artificial intelligence models have been proposed to generate the comple... read more

Serpinh1 promotes fracture healing by enhancing osteogenesis via activation of the Wnt/β-catenin signaling pathway.

Biochemical and biophysical research communications Apr 28, 2026

BACKGROUND: The process of fracture healing encompasses tightly regulated cellular and molecular interactions. However, the precise regulatory mechanisms that orchestrate osteogenesis during bone regeneration remain unclear. METHODS: Fracture healing... read more

Benchmarking physics-inspired machine learning models for transition metal complexes with diverse charge and spin states.

Digital discovery Apr 28, 2026

Physics-inspired machine learning (ML) models can be categorized into two classes: those relying solely on three-dimensional structure and those incorporating electronic information. In this work, we benchmark both classes for predicting quantum-chem... read more

Machine learning-assisted multimodal lateral flow immunoassay based on urchin-like Au@Pt nanoparticles for quantitative determination of febuxostat in functional foods.

Analytica chimica acta Apr 28, 2026

BACKGROUND: The illegal addition of febuxostat (FEB) to functional foods poses a significant food safety risk and calls for rapid and reliable analytical methods. Conventional single-signal lateral flow immunoassays (LFIAs) often show limited quantit... read more

Advances in mosquito-borne disease surveillance using machine learning.

New microbes and new infections Apr 28, 2026

Mosquito-borne diseases remain a major global health challenge, disproportionately impacting low- and middle-income countries. Despite traditional control and surveillance efforts, many of these diseases are resurging, driven by climate change, urban... read more

Artificial Intelligence Medical Compendium