AI Medical Compendium

C-X-C Motif Chemokine Ligand 3 as a Potential Biomarker for Diagnosis and Prognosis of Diabetic Kidney Disease.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Jan 31, 2026

Diabetic kidney disease (DKD) is the primary cause of end-stage renal disease globally, yet reliable biomarkers for its diagnosis and progression assessment are lacking. This study employed artificial intelligence techniques, including weighted gene ... read more

Comprehensive bioinformatic analysis and experimental validation identify MT1M and MT1X as key metallothioneins in BC pathogenesis.

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) Jan 31, 2026

BACKGROUND: Metallothioneins (MTs) are crucial metal-binding proteins involved in cellular zinc homeostasis and oxidative stress response. However, the role of metallothionein-related genes (MRGs) in breast cancer (BC) pathogenesis and their potentia... read more

Predicting gait kinetics using 3-degrees of freedom acceleration data and artificial neural networks.

Clinical biomechanics (Bristol, Avon) Jan 31, 2026

BACKGROUND: Motion analysis plays an important role in clinical decision-making and biomechanical research. Conventional assessments rely on laboratory-based motion capture and force plates, which are accurate but resource-intensive. Wearable sensors... read more

A Deep Learning Framework for Predicting Teprotumumab Treatment Response in Thyroid Eye Disease.

Ophthalmology science Jan 31, 2026

PURPOSE: To develop and evaluate a deep learning-based framework for quantifying thyroid eye disease (TED) severity before and after teprotumumab treatment, an insulin-like growth factor-1 receptor inhibitor, and to create a predictive model for fore... read more

A Multimodal Multitask Artificial Intelligence Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect.

Ophthalmology science Jan 31, 2026

PURPOSE: To develop a multimodal, multitask artificial intelligence (AI) model to classify postfitting corneal topography patterns and predict axial length (AL) growth, while simultaneously outputting optimal orthokeratology (ortho-K) lens parameters... read more

Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds.

iScience Jan 31, 2026

Membraneless organelles (MLOs) are liquid-like compartments that organize cellular functions through liquid-liquid phase separation of proteins and RNA. Their regulation is crucial for RNA metabolism, stress response, and signaling, yet leveraging th... read more

Multi-omics and machine learning-based profiling of severity signatures in Mycoplasma pneumoniae infection in children.

iScience Jan 31, 2026

Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children; however, the mechanisms driving its progression to severe disease remain poorly understood. This study employs a comprehensive proteomic and metabolomic approach to ... read more

Comparison of manual with artificial intelligence-aided interpretation of ANA HEp-2 IIF assay patterns in a clinical diagnostics lab.

Clinica chimica acta; international journal of clinical chemistry Jan 31, 2026

OBJECTIVES: Detection of antinuclear antibody (ANA) via indirect immunofluorescence (IIF) on HEp-2 cells is a screening test for the serological diagnosis of systemic autoimmune rheumatic diseases. Automated interpretation of ANA classification by no... read more

From conventional monitoring to intelligent prediction: data-driven analysis of inorganic elements in atmospheric wet deposition at an urban site in Lanzhou.

Environmental research Jan 31, 2026

Atmospheric wet deposition represents a key pathway linking atmospheric pollution to terrestrial ecosystems, with its chemical composition and deposition flux serving as important indicators of regional environmental quality. However, conventional mo... read more

Uncovering treatment effect heterogeneity in pragmatic gerontology trials.

Experimental gerontology Jan 31, 2026

Detecting heterogeneity in treatment response enriches the interpretation of gerontologic trials. In aging research, estimating the intervention's effect on clinically meaningful outcomes poses analytical challenges when outcomes are truncated by dea... read more

Artificial Intelligence Medical Compendium