AI Medical Compendium

Deep learning for dentomaxillofacial cone-beam computed tomography enhancement: A systematic review and meta-analysis.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 3, 2026

BACKGROUND: Cone-beam computed tomography (CBCT) is widely used in dentomaxillofacial imaging and radiotherapy but is limited by noise and low contrast resolution. Deep learning (DL) has emerged as a promising tool for CBCT enhancement, improving ima... read more

Letter to the editor: "Development and internal validation of machine learning in predicting prognosis of acute kidney injury patients in resource-limited setting".

Journal of critical care Apr 3, 2026

MZSGO: multimodal zero-shot protein function annotation via evolutionary signals and textual semantics.

Bioinformatics (Oxford, England) Apr 3, 2026

MOTIVATION: Although deep learning has significantly advanced the field of protein function prediction, current approaches are limited by their reliance on a narrow set of modalities. Specifically, they primarily rely on sequence patterns and treat p... read more

From phenotypes to trajectories: Machine learning in asthma beyond labels.

The Journal of allergy and clinical immunology Apr 3, 2026

Cluster-defined gout subtypes exhibit divergent chronic kidney disease trajectories: a machine learning approach in a Chinese prospective cohort.

Rheumatology (Oxford, England) Apr 3, 2026

OBJECTIVE: To systematically evaluate the contribution of clinical heterogeneity to chronic kidney disease (CKD) progression in gout patients using data-driven phenotyping, and to assess whether incorporating genetic risk improves prediction of renal... read more

INB3P: A Multi-Modal and Interpretable Co-Attention Framework Integrating Property-Aware Explanations and Memory-Bank Contrastive Fusion for Blood-Brain Barrier Penetrating Peptide Discovery.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 3, 2026

Functional peptide discovery, particularly for blood-brain barrier-penetrating peptides (BBBPPs), is strictly limited by extreme data scarcity and the "black-box" nature of deep learning. Here, INB3P is presented as a physics-informed, multi-modal fr... read more

Improving Diabetic Foot Care With Infrared Thermography and Artificial Intelligence: A Review.

Journal of diabetes science and technology Apr 3, 2026

BACKGROUND: One of the most common consequences in individuals with diabetes is the diabetic foot, which can cause foot ulcers and even lead to limb amputation. Since an increase of the temperature in the plantar region is directly correlated with an... read more

Eukaryote-to-eukaryote gene transfer pervades the genome evolution of Rhizaria

bioRxiv Apr 3, 2026

Lateral gene transfer (LGT) has contributed to the genetic makeup of various eukaryotic lineages, yet its prevalence and long-term significance remain poorly understood, particularly for transfers between eukaryotes. Here, we investigate LGT across 2... read more

evolutionary biology

Machine Learning-Driven Classification of Bioactive Peptides and Their Molecular Basis for Sour Taste Perception.

Journal of dairy science Apr 3, 2026

Bioactive peptides derived from dairy proteins are increasingly recognized for their dual capacity to enhance sensory attributes and provide health-promoting functions. In fermented dairy products such as yogurt, proteolysis releases a diverse array ... read more

Predicting Staphylococcus aureus spa Types Using MALDI-TOF Mass Spectrometry and Machine Learning.