AI Medical Compendium

Hyperparameter-transfer learning framework for methane prediction in data-limited full-scale anaerobic digesters.

Bioresource technology Jul 20, 2026

This study developed a full-scale transfer-learning workflow integrated with an anaerobic-digestion-specific feature engineering pipeline for methane prediction in newly commissioned anaerobic digesters with limited monitoring data. The performance o... read more

Three-Level cascading defense mechanism of silicon-based materials for mitigating heavy metals stress in crops.

Bioresource technology Jul 20, 2026

Silicon-based materials (SBMs) are widely used to alleviate heavy metals (HMs) stress in crops, yet their integrated effects on soil-plants systems remain insufficiently understood owing to the complex interactions among soil properties, amendment ch... read more

A novel fever prevalence indicator for early warning of acute respiratory infections using wastewater-based epidemiology and machine learning.

Environmental research Jul 20, 2026

The rapid spread of acute respiratory infections (ARIs) poses a major challenge to global public health, yet current surveillance systems relying on sentinel hospitals and laboratory testing often lack timeliness and precision. In this study, we pres... read more

Temporal Germination of Lettuce under Salinity and Nano-Silicon: A High-Throughput Phenomics Framework with Deep Learning.

Plant science : an international journal of experimental plant biology Jul 20, 2026

Accurate high-throughput evaluation of seed germination under abiotic stress is often hindered by subjective manual scoring and insufficient temporal resolution. This study introduces an integrated phenomics framework leveraging an explainable deep l... read more

Generating Patient Documents from Electronic Health Records Using Generative Artificial Intelligence: A Feasibility Study in a Japanese Cancer Center.

Applied clinical informatics Jul 20, 2026

OBJECTIVE: Clinical documentation consumes substantial clinician time, potentially detracting from patient care. Generative artificial intelligence (AI) may support drafting discharge summaries and patient referral documents, but feasibility in non-W... read more

Reticular pseudodrusen load is associated with an increased risk of stroke.

BMJ open ophthalmology Jul 20, 2026

BACKGROUND/AIMS: Reticular pseudodrusen (RPD) are increasingly recognised as a distinct phenotype in the age-related macular degeneration (AMD) disease spectrum. This study investigates the association between RPD and cardiovascular outcomes, specifi... read more

ADMET-XSpec: A Tool for Systematic Cross-Species Data Integration in ADMET Prediction.

Chemical research in toxicology Jul 20, 2026

The rapid expansion of in silico methodologies has reshaped modern drug discovery and toxicology research; however, robust prediction of ADMET endpoints remains limited by the scarcity and heterogeneity of experimental data. In particular, toxicologi... read more

Multiparametric MRI Radiomics-Based Interpretable Machine Learning Model for the Prediction of Lymphovascular Space Invasion in Endometrial Cancer.

Academic radiology Jul 20, 2026

RATIONALE AND OBJECTIVES: To develop and validate a machine learning model combining multiparametric Magnetic Resonance Imaging (MRI) radiomics and clinical indicators for predicting lymphovascular space invasion (LVSI) in endometrial cancer (EC). MA... read more

[Medical deskilling: The hidden cost of algorithms].

La Revue de medecine interne Jul 20, 2026

Online Energy-Resolved Mass Spectrometry Enables Differentiation of Glycosylation Sites and Sugar Moieties Supporting More Accurate Identification of Ginsenoside Isomers.

Analytical chemistry Jul 20, 2026

Structural characterization of natural saponins is highly challenging by tandem mass spectrometry, lacking evidence for differentiating multiple glycosylation sites and diverse sugar moieties. Optimal collision energy (OCE) in collision-induced disso... read more

Artificial Intelligence Medical Compendium