AI Medical Compendium

Identifying a fatty acid metabolic gene signature in diabetic cardiomyopathy through integrated bioinformatics and machine learning.

Biochemical and biophysical research communications Feb 17, 2026

BACKGROUND: Diabetic cardiomyopathy (DCM) is a major cardiovascular complication of diabetes mellitus, ultimately progressing to heart failure and increased mortality. Its pathogenesis involves multifactorial mechanisms, and the key causative genes r... read more

Corrigendum to "Based on the umami-transformer machine learning model: Screening of umami peptides from ultrasound-assisted enzymatic hydrolysis of shiitake mushrooms and study on their flavor mechanism" [Food Res. Int. 228 (2026) 118379].

Food research international (Ottawa, Ont.) Feb 17, 2026

Opportunities and challenges in leveraging multiomics and biobanks for vision science.

Current opinion in ophthalmology Feb 17, 2026

PURPOSE OF REVIEW: Emerging biobank resources allow large-scale integration of eye-specific phenotypes with clinical, genomic, and multiomic data. This convergence enables unprecedented opportunities to systematically dissect the genetic architecture... read more

Optimized intrusion detection using particle swarm optimization and neural networks in simulated and physical network environments.

MethodsX Feb 17, 2026

This method article presents a reproducible framework for constructing and evaluating an intrusion detection system using optimized machine learning workflows. Network traffic was collected by implementing two independently controlled setups: a softw... read more

Conversational AI for remote monitoring in heart failure: a prospective controlled pilot study.

European heart journal. Digital health Feb 17, 2026

AIMS: Heart failure (HF) requires scalable strategies to detect decompensation early and reduce hospitalizations. Existing telemonitoring tools are often invasive, complex, or poorly integrated into routine care. To evaluate the feasibility and clini... read more

2D shape dataset of proximity-based spatial relation concepts.

Data in brief Feb 17, 2026

Understanding how objects are positioned and related to each other in space is an important part of visual perception. Although people can recognize these relationships quite naturally, it is not easy to teach artificial intelligence to do the same. ... read more

Single-cell systems network and machine learning dissection of ferroptosis in recurrent glioblastoma highlights astrocytic ZFP36 as a therapeutic hub for network medicine repurposing.

European journal of cancer (Oxford, England : 1990) Feb 17, 2026

BACKGROUND: Recurrent glioblastoma multiforme (rGBM) arises after conventional treatment strategies for primary GBM (pGBM) fail, leading to a more aggressive, therapy-resistant phenotype, with an overall survival of ∼9 months. Current treatment strat... read more

Shaping the future: A pilot study on how AI-powered chatbots shape patient perceptions of pharmacist roles.

Patient education and counseling Feb 17, 2026

OBJECTIVE: To investigate how AI-powered chatbots influence patient perceptions of pharmacist roles compared to traditional educational methods and evaluate whether such technology can address knowledge gaps in pharmacy services. METHODS: A randomize... read more

Artificial sweeteners and male infertility: Network toxicology and experimental evidence reveal FGFR1 as the critical target.

Reproductive toxicology (Elmsford, N.Y.) Feb 17, 2026

BACKGROUND: Artificial sweeteners (ASs) are widely used sugar substitutes, but chronic exposure is linked to male infertility. We integrated computational prediction, network analysis, and wet-lab validation to explore mechanisms. METHODS: Seven ASs ... read more

Reply to "Guiding principles for using artificial intelligence to simplify and translate Mohs micrographic surgery educational materials".

Journal of the American Academy of Dermatology Feb 17, 2026

Artificial Intelligence Medical Compendium