AI Medical Compendium

Gene bridge metabolite-disease association prediction based on GCN-DeepSeekMoE contrastive learning and its applications in oral diseases.

Analytical biochemistry Apr 27, 2026

The variation of metabolite levels is strongly associated with the occurrence as well as development in diseases, especially oral diseases such as periodontitis and celiac disease, where metabolic dysregulation often mediates pathological processes b... read more

Gene-Lifestyle Synergy in Diabetic Retinopathy Development.

Ophthalmology Apr 27, 2026

PURPOSE: To develop a machine learning (ML)-driven polygenic risk score (PRS) for diabetic retinopathy (DR) and evaluate the extent to which lifestyle may mitigate genetic risk. DESIGN: Multicenter, multiethnic cohort study. PARTICIPANTS: 9 1691 part... read more

Essence: A benchmarking-validated transformer framework for early diagnosis of Parkinson's disease using cerebrospinal fluid protein biomarkers.

International journal of biological macromolecules Apr 27, 2026

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-motor symptoms. The lack of objective molecular biomarkers limits early diagnosis and personalized treatment. Here, we propose Essence, a benchmarking... read more

Anoctamin 5 as a protective factor in prostate cancer: Insights from WGCNA, machine learning, and experimental analysis, with a focus on the anoctamin family.

Translational oncology Apr 27, 2026

OBJECTIVES: Prostate cancer (PCa) is a prevalent malignancy in males, triggered by multiple factors. This study aimed to identify PCa-specific key genes with clinical significance and clarify their roles in PCa progression. METHODS: To screen PCa-spe... read more

Multi-Omics and Machine Learning Analyses Reveal PIK3CG, PRKCD, and TRIM22 as Potential Markers of Poor Prognosis and Immune Activation in Glioblastoma.

Journal of Korean medical science Apr 27, 2026

BACKGROUND: Glioblastoma (GBM) is one of the most aggressive brain tumors with a poor prognosis despite current treatment modalities. This study aimed to identify genes whose high expression is paradoxically associated with both poor survival and enh... read more

Advances in Digital Cytopathology and Artificial Intelligence Applications.

Advances in anatomic pathology Apr 27, 2026

Cytopathology is the first field of pathology in which artificial intelligence (AI) models were successfully developed and commercialized for routine clinical screening of cervical cytology, a practice that has been in place for the past 2 to 3 decad... read more

Deep Learning-Based Protein Half-Life Prediction for Identifying Rate-Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck Reactions.

Journal of microbiology and biotechnology Apr 27, 2026

In synthetic metabolic pathways, the intracellular level of enzymes is a critical determinant of pathway efficiency and, thus, short-lived enzymes create bottlenecks and limit overall metabolic productivity due to their low abundance. However, since ... read more

Alkaline earth metal binding with N-heterocyclic carbenes: machine learning-assisted screening of metal-ligand interactions.

Physical chemistry chemical physics : PCCP Apr 27, 2026

N-heterocyclic carbenes (NHCs) are very versatile ligands known for their strong σ-donating ability and stability, making them suitable for forming complexes with alkaline earth metals (AEMs). In this study, we designed a machine learning (ML) based ... read more

An image-based food quality analysis framework driven by large language models.

Analytical methods : advancing methods and applications Apr 27, 2026

Although computer vision approaches based on machine learning (ML) and deep learning (DL) have been applied to image-based food quality analysis, they typically require large labeled datasets, intensive training, and expert knowledge. Recent advances... read more

Correction: Catalysis meets machine learning: a guide to data-driven discovery and design.

Chemical communications (Cambridge, England) Apr 27, 2026

Correction for 'Catalysis meets machine learning: a guide to data-driven discovery and design' by Eleonora Casillo et al., Chem. Commun., 2025, 61, 18247-18272, https://doi.org/10.1039/D5CC05274B. read more

Artificial Intelligence Medical Compendium