AI Medical Compendium

Application of AI-Driven Multi-Dimensional Food Printing Technology for Valorization of Food By-Products.

Journal of agricultural and food chemistry Jan 30, 2026

Food by-products are rich in nutrients but are often discarded, causing resource waste and environmental burden. Traditional additive manufacturing (AM) struggles with these materials due to inconsistent rheology, unstable transformations, and comple... read more

Discovery and cultivation of prokaryotic taxa in the age of metagenomics and artificial intelligence.

The ISME journal Jan 30, 2026

Despite advances in sequencing, microbial genomics, and cultivation techniques, the vast majority of prokaryotic species remain uncultured, which is a persistent bottleneck in microbiology and microbial ecology. This perspective outlines a conceptual... read more

RNA modifications in cancer and their detection: a review.

Japanese journal of clinical oncology Jan 30, 2026

Ribonucleic acid (RNA) modifications, once viewed as static structural features, are now recognized as dynamic regulators of the 'epitranscriptome' that shape RNA fate. In cancer, dysregulation of RNA-modification writers, erasers, and readers reprog... read more

HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment.

Journal of computational biology : a journal of computational molecular cell biology Jan 30, 2026

Mathematical modeling in systems toxicology enables a comprehensive understanding of the effects of pharmaceutical substances on cardiac health. However, the complexity of these models limits their widespread application in early drug discovery. In t... read more

Gut microbiome signatures associated with depression and obesity.

mSystems Jan 30, 2026

UNLABELLED: Depression and obesity are highly comorbid and likely involve common risk factors and pathophysiological mechanisms, which could crosslink to gut microbiome dysfunction. Here, we performed a case-control study with a total of 105 subjects... read more

Mechanism Based Hierarchical Machine Learning for High-Throughput Quantitative Prediction of Estrogenic, Androgenic, and Thyroid Disruption Activities.

Environmental science & technology Jan 30, 2026

Although qualitative predictions of endocrine-disrupting chemicals (EDCs) are well established, quantitative high-throughput models remain underdeveloped due to data heterogeneity and mechanistic complexity. To address this gap, we developed a mechan... read more

Deciphering Key Descriptors for Scaling Relationships in Graphene-Supported Ptn Clusters via Machine Learning.

Small (Weinheim an der Bergstrasse, Germany) Jan 30, 2026

Subnano clusters have emerged as a promising class of electrocatalysts, enabling efficient utilization of noble metals and superior activity for key electrochemical reactions. However, their fluxional nature and complex structure-activity relationshi... read more

Distinct clinical clusters of paediatric patients with status epilepticus: Retrospective cohort study.

Developmental medicine and child neurology Jan 30, 2026

AIM: To characterize the clinical features, management, and outcomes of paediatric patients with status epilepticus, and to explore whether distinct clinical subgroups can be identified from clinical descriptions. METHOD: This was an exploratory retr... read more

Machine Learning on Systematically Curated Data Reveals Key Determinants of Magnetic Hyperthermia Performance.

Small (Weinheim an der Bergstrasse, Germany) Jan 30, 2026

Accurate prediction of the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) is critical for optimizing their performance in magnetic hyperthermia applications. This study presents the development of a predictive m... read more

SAFAARI: Contrastive Adversarial Open-set Domain Adaptation for Single-cell Integration & Annotation.

Genomics, proteomics & bioinformatics Jan 30, 2026

Single-cell sequencing technologies have enabled in-depth analysis of cellular heterogeneity across tissues and disease contexts. However, as datasets increase in size and complexity, characterizing diverse cellular populations, integrating data acro... read more

Artificial Intelligence Medical Compendium