AI Medical Compendium

Comparative time-lapse morphokinetic signatures of camel embryos produced by IVF, ICSI, parthenogenesis, and zona-free parthenogenesis.

Theriogenology Mar 15, 2026

This study aimed -for the first time-to analyze the time-lapse morphokinetic parameters associated with the in vitro development of camel embryos produced by different procedures: parthenogenetic activation (zona-intact or zona-free), intracytoplasmi... read more

Development of death-risk score based on epidemiology of six mental disorders and application to mortality reduction via modifiable health behaviors.

Journal of biomedical informatics Mar 15, 2026

OBJECTIVE: Prediction models for mortality rarely incorporate diverse psychiatric conditions, alongside clinical, behavioral, and demographic risk factors. We aimed to develop and validate a mortality risk score using a Gradient Boosting Survival Mod... read more

A pan-European assessment of multi-sector drivers of human hantavirus risk: climate, biodiversity, and socio-economic factors as key determinants.

Environmental research Mar 15, 2026

The landscape of emerging zoonoses is being rapidly reshaped by concurrent climate change, environmental transformation, and biodiversity loss. These pressures can alter host populations, pathogen dynamics, and human exposure. Yet, continental-scale ... read more

Sales forecast of new energy vehicles in China based on multi-source information fusion and link prediction.

Journal of environmental management Mar 15, 2026

This study develops an integrated forecasting framework that leverages multi-source information fusion to improve predictions of new energy vehicle (NEV) sales in China. The dataset incorporates historical sales records, key influencing factors, and ... read more

Three-dimensional neural network driving self-interference digital holography enables high-fidelity, non-scanning volumetric fluorescence microscopy.

Optics letters Mar 15, 2026

We present a deep learning driven computational approach to overcome the limitations of self-interference digital holography that is imposed by inferior axial imaging performances. We demonstrate learning by applying the prior knowledge of a sample, ... read more

Learning highly oscillatory optical fields with Fourier feature networks.

Optics letters Mar 15, 2026

Accurately modelling physical perturbations in optical systems is critical for photonic device design, yet existing characterization methods are often computationally prohibitive. We introduce a data-efficient machine learning framework that learns t... read more

Robotic Pets in Hospitals: Fostering Connection.

AACN advanced critical care Mar 15, 2026

Acute care hospitals often fail to meet the relational needs of older adults with dementia, for whom many environmental stressors can exacerbate behavioral symptoms. Using clinical reflection, we analyzed 2 case studies of robotic pet use in acute ca... read more

Identification of Novel Biomarkers for Crohn's Disease Through the Integration of Machine Learning, Colocalization, and SMR Analysis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Mar 15, 2026

Crohn's disease (CD) is a chronic inflammatory bowel disease with a prevalence rate increasing with time, thus demanding improved diagnostic and therapeutic strategies. The present work focused on identifying the candidate biomarkers for CD diagnosis... read more

Machine Learning Prediction of Laccase-Catalyzed Oxidation of Aromatic Compounds Using Curated Enzyme-Specific Datasets.

Journal of computational chemistry Mar 15, 2026

Laccases are multi-copper oxidase enzymes that oxidize a wide range of aromatic and non-aromatic compounds using molecular oxygen, producing water as the sole byproduct and making them attractive biocatalysts for green chemistry. However, the ability... read more

Histo-MExNet: A Unified Framework for Real-World, Cross-Magnification, and Trustworthy Breast Cancer Histopathology

arXiv Mar 15, 2026

Accurate and reliable histopathological image classification is essential for breast cancer diagnosis. However, many deep learning models remain sensitive to magnification variability and lack interpretability. To address these challenges, we propose... read more

Computer Vision and Pattern Recognition

Artificial Intelligence Medical Compendium