AI Medical Compendium

Deep and High-Throughput Proteomic Atlas of Chinese Bovine Colostrum Reveals Regional Signatures.

Journal of dairy science Apr 3, 2026

Bovine colostrum (BC) is essential for neonatal survival and human health, owing to its rich bioactive content. However, highly abundant proteins constrain the proteome depth of BC. By integrating magnetic nanoparticle enrichment of low-abundance pro... read more

Deep learning and image processing for high-throughput udder phenotyping in dairy cows.

Journal of dairy science Apr 3, 2026

Udder conformation is a crucial phenotype in dairy cows as it relates to their health and productivity, particularly in Automated Milking Systems (AMS). As such, this project aims to (1) develop an automated pipeline that extracts udder phenotypes fr... read more

Artificial Intelligence-assisted Mining of Polyethylene Terephthalate Hydrolases.

New biotechnology Apr 3, 2026

Polyethylene terephthalate (PET) hydrolases efficiently hydrolyze the ester bonds in PET, converting it into valuable monomers or oligomers, offering a sustainable biological solution to global PET plastic pollution. However, the large-scale developm... read more

High-Throughput Image-Based Pupal Sex Classification in Aedes aegypti Using Convolutional Neural Network Models for Sterile Insect Technique Applications.

Acta tropica Apr 3, 2026

Aedes aegypti, the primary vector of dengue, yellow fever, Zika, and chikungunya, poses serious public health threats, especially in tropical regions. With limited vaccine availability, innovative control strategies like the Sterile Insect Technique ... read more

Bipolar disorder relapse detection and prediction using smartwatches. A pilot study for machine learning models using anomaly detection methods.

Journal of affective disorders Apr 3, 2026

BACKGROUND: Bipolar disorder (BD) is a chronic mental illness with recurrent mood episodes, with up to 70% of patients relapsing within two years. Early detection of prodromal symptoms is critical for timely intervention but remains challenging. Wear... read more

Implementing drug data exclusivity in China: A comparative analysis with global practices.

Drug discovery today Apr 3, 2026

This article provides a comprehensive overview and comparative analysis of China's forthcoming drug data exclusivity system, contextualizing it within global frameworks. It presents the current data exclusivity regimes of the United States, Canada, t... read more

Preoperative functional connectivity patterns predict tremor relief following MRgFUS thalamotomy in essential tremor: A machine learning investigation.

Neurobiology of disease Apr 3, 2026

BACKGROUND: Magnetic resonance-guided focused ultrasound (MRgFUS) thalamotomy made a breakthrough in treating essential tremor (ET), but with variable tremor responses. This study employed support vector machine regression (SVR) to predict tremor res... read more

Integrating Multi-Omics and Artificial Intelligence for Personalized Breast Cancer Management: A Guide to Clinicians.

Cancer letters Apr 3, 2026

Breast cancer's (BC) diverse nature and global impact demand tailored clinical strategies. Conventional screening methods often fall short in early detection and individualized risk assessment. By merging multi-omics technologies such as genomics, tr... read more

Quantifying airborne vessel noise on large rivers: A novel approach combining acoustic drifters and machine learning.

Environmental pollution (Barking, Essex : 1987) Apr 3, 2026

Vessel noise in large rivers poses a growing threat to riparian ecosystems and human communities, yet its large-scale airborne distribution remains poorly monitored. This study introduces an innovative framework combining mobile observations with mac... read more

Response to the comment on "Machine learning-based prediction of CAC-defined cardiovascular risk using routine health examination data".

Journal of the Formosan Medical Association = Taiwan yi zhi Apr 3, 2026

Artificial Intelligence Medical Compendium