AI Medical Compendium

A decision-oriented framework for genomic testing across the prostate cancer continuum.

Cancer genetics Jun 4, 2026

Genomic testing is now embedded in contemporary prostate cancer care, yet the clinical meaning of different genomic platforms varies substantially by disease state and clinical context. In localized disease, tissue-based genomic classifiers primarily... read more

Results of a new model of videotraining for patients and caregivers for peritoneal dialysis: food for (AI) thought?

Journal of nephrology Jun 4, 2026

BACKGROUND: In an attempt to overcome the space-time limitations of traditional training we used a new telemedicine home-training model (Videotraining). We report our analysis of Videotraining for automated peritoneal dialysis (APD) carried out betwe... read more

Precise calcium-to-spike inference using biophysical generative models

bioRxiv Jun 4, 2026

The intramolecular dynamics of fluorescent calcium indicators distort the relationship between calcium signals and action potentials (spikes), hampering efficient spike inference from calcium imaging. To address this problem, we characterized the cal... read more

neuroscience

Relational homeostatic scaling supports stable rate-code transmission under noise and heterogeneity

bioRxiv Jun 4, 2026

Reliable transmission of firing-rate signals through neural circuits requires synaptic coupling to remain within a narrow regime shaped by neuronal heterogeneity and noise. Outside this regime, classical theory predicts that activity will dissipate o... read more

neuroscience

Symptom burden in dialysis patients: determinants and impact on mortality.

Journal of nephrology Jun 4, 2026

BACKGROUND: Symptom burden in chronic kidney disease (CKD) patients has a negative impact on functional status and quality of life. Despite the high prevalence among hemodialysis (HD) patients, symptoms are often underestimated. We investigated the d... read more

Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru.

American journal of epidemiology Jun 3, 2026

Identifying transmission events is important in understanding infectious disease dynamics. Such events are typically unobservable, particularly in respiratory diseases such as tuberculosis (TB). We apply network techniques to identify transmission cl... read more

Integrating multisequence radiomics and clinical features to predict seizure recurrence after gross total resection of pediatric low-grade epilepsy-associated brain tumors.

Neuroradiology Jun 3, 2026

OBJECTIVE: This study aimed to develop a predictive model integrating clinical features and multisequence MRI radiomics to forecast postoperative seizure outcomes in pediatric patients with low-grade epilepsy-associated tumors (LEATs) who underwent g... read more

Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications.

Signal transduction and targeted therapy Jun 3, 2026

The integration of multiomics technologies with artificial intelligence (AI) has become a transformative force in modern precision medicine, particularly within drug discovery. Multiomics approaches, including genome-wide association studies, transcr... read more

Integrating machine learning and WGCNA to identify core candidate genes and decipher immune-related molecular networks in TcdA/TcdB-associated CDI.

Antonie van Leeuwenhoek Jun 3, 2026

Clostridioides difficile infection (CDI) remains a leading cause of healthcare-associated diarrhea and is characterized by high recurrence rates and inadequate predictive tools despite available therapeutic options. Current toxin- or nucleic acid-bas... read more

Investigating the structure of the greylag goose vocal repertoire: what can unsupervised methods tell us?

Scientific reports Jun 3, 2026

Defining a comprehensive signal repertoire is an important step to understanding a species' vocal communication system. Here, we investigated the vocal repertoire of a well-investigated model species in ethology: the greylag goose (Anser anser). We a... read more

Artificial Intelligence Medical Compendium