AI Medical Compendium

Transformer-based multidimensional feature fusion for accurate prediction of lipid nanoparticles transfection efficiency.

Briefings in bioinformatics Mar 1, 2026

RNA-based technologies have demonstrated significant potential for diverse applications, ranging from vaccination to gene editing. However, their widespread adoption is limited by the critical challenge of efficient delivery. Lipid nanoparticles (LNP... read more

ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data.

Briefings in bioinformatics Mar 1, 2026

Despite aging being a fundamental biological process that profoundly influences health and disease, the interplay between tissue-specific aging and mortality remains underexplored. This study applies machine learning on GTEx transcriptomic data to mo... read more

From data to treatment plan: An AI-driven path for automated breast radiotherapy planning.

Journal of applied clinical medical physics Mar 1, 2026

BACKGROUND: Breast cancer is one of the most prevalent malignancies in women, with radiotherapy (RT) playing a key role in its treatment. Advances in RT techniques, such as 3D conformal radiotherapy (3D-CRT) and intensity-modulated radiotherapy (IMRT... read more

Design of real and complex recurrent neural networks for sound source localisation.

JASA express letters Mar 1, 2026

This study explores a pruning technique based on the singular value decomposition for both real- and complex-valued recurrent neural networks (RNNs). Building on prior work on multilayer perceptrons (MLPs), the method reduces hidden-layer dimensions ... read more

Hydrocarbon subsidy-stress and divergent reduced iron-manganese thresholds shape microbial resilience in anoxic aquifers.

Water research Mar 1, 2026

The co-occurrence of geogenic metal mobilization and anthropogenic hydrocarbon contamination represents a pervasive hydro-biogeochemical challenge, yet the non-linear mechanisms governing microbial resilience in these multi-stressor aquifers remain p... read more

Cordgrass invasion amplifies microplastic hazard through polymer-selective retention in coastal wetlands.

Water research Mar 1, 2026

Coastal wetlands are key repositories and pathways for microplastics (MPs), a role modulated by vegetation. The global spread of the nonnative cordgrass Spartina alterniflora is thus likely to alter MP deposition and fate, yet its effects on MP accum... read more

Voice analysis as a digital biomarker: A machine learning approach for automated multiple sclerosis classification.

Multiple sclerosis and related disorders Mar 1, 2026

BACKGROUND/OBJECTIVES: Voice analysis is a non-invasive tool that can capture subtle motor impairments in Multiple Sclerosis (MS). The objective of this study was to develop and validate a machine learning (ML) framework for the automated classificat... read more

MedFusionT5: Cross-Modal Attention Boosts Semantic Quality and Reduces Hallucinations in Dental AI.

International dental journal Mar 1, 2026

INTRODUCTION AND AIMS: Automated dental report generation faces significant challenges in multimodal fusion, often resulting in suboptimal semantic quality and risks of hallucination, where AI generates clinically unsupported content. Current approac... read more

Evaluation of the Effectiveness of an AI-assisted, Dual-Template Workflow in Improving the Accuracy of Tooth Autotransplantation.

International dental journal Mar 1, 2026

OBJECTIVE: To test whether an AI-assisted, dual-template workflow improves plan-delivery accuracy in tooth autotransplantation versus a replica-only freehand approach. METHODS: Twenty-four consecutive cases were assigned to a guided workflow (n = 12)... read more

Deciphering the dynamic interactions among ammonia emissions and composting parameters in sewage sludge composting using multi-stage machine learning.

Journal of environmental management Mar 1, 2026

During sewage sludge composting, the dynamic and nonlinear interactions among composting parameters and ammonia (NH3) emissions present challenges to conventional statistical methods, hindering stage-specific mitigation of NH3 emissions. This study e... read more

Artificial Intelligence Medical Compendium