AI Medical Compendium

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks.

Epilepsia Mar 13, 2026

OBJECTIVE: Drug-resistant epilepsy (DRE) affects approximately one-third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic dive... read more

Pan-cancer evolution signatures link clonal expansion to dynamic changes in the tumor immune microenvironment.

Cell reports Mar 13, 2026

Cancer is an evolutionary process characterized by profound intratumor heterogeneity (ITH), which can be quantified using in silico estimates of cancer cell fractions (CCFs) of tumor-specific somatic mutations. We demonstrate a data-driven approach b... read more

Epilepsy: Modern Treatment Approaches, Clinical Aspects, and Patent Status.

CNS & neurological disorders drug targets Mar 13, 2026

Epilepsy is a chronic neurological disorder causing recurrent seizures. Improved diagnosis and management, including high-resolution imaging, genetic testing, and newer antiepileptic drugs with better efficacy and fewer side effects, have enhanced pa... read more

Artificial intelligence, patient education, and the work of caring in cardiovascular disease.

Patient education and counseling Mar 13, 2026

Predicting lithium-associated thyroid dysfunction through dimension reduction to establish a practical machine learning model: A retrospective multicenter study.

Journal of affective disorders Mar 13, 2026

BACKGROUND: Thyroid dysfunction is a prevalent side effect among patients using lithium and links to refractory mood disorders. Existing predictive models are limited by high dimensionality; therefore, developing a simplified model that maintains per... read more

Autophagy-exosome crosstalk in neurodegeneration: Mechanisms and therapeutic opportunities.

Pharmacology & therapeutics Mar 13, 2026

Neurodegenerative diseases (NDs), including Alzheimer's, Parkinson's, Huntington's, amyotrophic lateral sclerosis, and multiple sclerosis, share a common pathogenic signature: disrupted proteostasis driven by impaired autophagy and maladaptive exosom... read more

Dynamic functional connectivity changes in noise-induced hearing loss: a resting-state fMRI study with machine learning-based classification.

Brain research bulletin Mar 13, 2026

OBJECTIVE: Noise-induced hearing loss impacts brain health and cognition, with dynamic functional connectivity analysis offering a promising but underexplored method for studying whole-brain activity. Therefore, this study aimed to utilise dynamic fu... read more

Bioprocess optimisation via joint machine learning and metabolic modelling.

Metabolic engineering Mar 13, 2026

Optimisation of the design-build-test-learn cycle remains a bottleneck for developing and efficiently manufacturing the next generation of bioproducts. To address this challenge, research has traditionally focused on either data-driven or mechanistic... read more

Predictors of weight gain in under-five children with severe acute malnutrition: A machine learning analysis of a tertiary care hospital dataset.

Clinical nutrition ESPEN Mar 13, 2026

BACKGROUND & AIMS: Nutritionally rehabilitating children admitted to hospitals with severe acute malnutrition (SAM) and acute illness can pose significant challenges. Understanding the predictors of weight gain in this vulnerable group remains limite... read more

Declare the use or non-use of artificial intelligence in peer-review: A relic of the past?

Anaesthesia, critical care & pain medicine Mar 13, 2026

Artificial Intelligence Medical Compendium