AI Medical Compendium

Exploring potential biomarkers of NETosis-Related genes in spinal cord injury through machine learning and multi-omics analysis.

Biochemistry and biophysics reports Jan 20, 2026

Spinal cord injury (SCI) is a serious condition typically caused by mechanical trauma, often resulting in significant motor, sensory, and autonomic dysfunction. It places a heavy burden on individuals, families, and society; however, effective treatm... read more

Personalized surveillance in giant congenital melanocytic nevus, including the role of AI, histopathology and MC1R genotyping: A case report.

Biomedical reports Jan 20, 2026

Giant congenital melanocytic nevi (GCMN) are rare pigmented skin lesions present at birth that carry an increased risk of malignant melanoma and neurocutaneous melanosis. Early diagnosis and long-term follow-up care are essential for high-risk patien... read more

Decoding lower-limb movement attempts from electro-encephalographic signals in spinal cord injury patients.

APL bioengineering Jan 20, 2026

Restoring lower-limb function in patients with severe spinal cord injury (SCI) remains challenging. Spinal cord stimulation may enhance and reinstate lower-limb movements, but it is either used in open-loop control or its control depends upon residua... read more

Energy-driven innovations in computational de novo protein engineering.

Progress in biophysics and molecular biology Jan 20, 2026

Energy models play a crucial role in the advancement of computational de novo protein engineering, enabling the design of novel proteins with tailored functionalities. Proteins serve as the foundation of biochemical processes, making their precise en... read more

UNISELF: A unified network with instance normalization and self-ensembled lesion fusion for multiple sclerosis lesion segmentation.

Medical image analysis Jan 20, 2026

Automated segmentation of multiple sclerosis (MS) lesions using multicontrast magnetic resonance (MR) images improves efficiency and reproducibility compared to manual delineation, with deep learning (DL) methods achieving state-of-the-art performanc... read more

Leveraging Artificial Intelligence to Enhance Oncology Care Delivery in Sub-Saharan Africa.

Mayo Clinic proceedings. Digital health Jan 20, 2026

Deep learning deciphers behavioral states from muscle activation patterns.

Journal of pharmacological sciences Jan 20, 2026

Accurate assessment of animal behavior is limited by manual video observation. Here, we demonstrate that deep learning-based analysis of multi-site electromyograms enables classification of behavioral states. Electromyograms were recorded from five m... read more

Evaluation of an Artificial Intelligence Defined Lung Nodule Malignancy Score in Incidental Pulmonary Nodules: The CREATE Study.

Mayo Clinic proceedings. Digital health Jan 19, 2026

OBJECTIVE: To evaluate the effectiveness of the artificial intelligence-based qXR lung nodule malignancy score (qXR-LNMS) in detecting high-risk incidental pulmonary nodules (IPNs) on chest X-rays (CXRs). PATIENTS AND METHODS: The CREATE (NCT05817110... read more

Integrative omics approaches for bioactive metabolite discovery in marine macroalgae: Recent advances and future perspectives.

Journal of biotechnology Jan 19, 2026

Phlorotannins, bromophenols, sulfated polysaccharides, terpenoids, lipids and halogenated molecules exhibit potent antioxidant, anticancer, anti-inflammatory, and antimicrobial properties. Conventional discovery methods, such as solvent extraction an... read more

Computational methods for spatial multi-omics integration.

Biotechnology advances Jan 19, 2026

The rapid development of spatial multi-omics technologies has enabled the simultaneous acquisition of transcriptomic, proteomic, and epigenomic information from the same tissue section. However, substantial differences in distributional properties, d... read more

Artificial Intelligence Medical Compendium