AI Medical Compendium

Integrative multi-kingdom gut microbiome analysis uncovers clinical signatures of major depressive disorder.

Journal of affective disorders Apr 24, 2026

BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major depressive disorder (MDD). However, most studies have focused on bacteria, while the functional and ecological contributions of eukaryotes, archaea, and... read more

Reporting software tools and automation in the protocols of evidence syntheses: Meta-research study.

Journal of clinical epidemiology Apr 24, 2026

INTRODUCTION: The growing volume of primary research and the increasing demand for timely, high-quality evidence syntheses (ESs) have intensified interest in using software, automation, and artificial intelligence. While guidance such as PRISMA 2020 ... read more

Daily Mortality Prediction Under Compound Environmental Stressors: Comparing Epidemiological Time Series Models and Machine Learning Models.

Environmental research Apr 24, 2026

Accurate prediction of daily mortality is vital for effective early warning systems and the strategic allocation of medical resources, particularly given the rising public health challenges posed by climate change. This study presents a comparative a... read more

Leveraging machine learning and experimental screening of sulfur sources to mediate interlayer engineering of Li4Ti5O12 ion sieves.

Environmental research Apr 24, 2026

Lithium ion sieves are promising materials for lithium extraction from liquids, but achieving high adsorption remains challenging. In this study, machine learning (ML) was employed to predict non-metal element-doped lithium ion sieves. A comparative ... read more

A relational agent for treating substance use in adults: A randomized controlled trial with a psychoeducational comparator.

Journal of substance use and addiction treatment Apr 24, 2026

BACKGROUND: Highly accessible and scalable, digital mental health interventions can reduce barriers associated with traditional treatment. Woebot for Substance Use Disorders (W-SUD) is a smartphone application in development that uses Woebot, a guide... read more

Characteristics and Outcomes of Over One Million Veterans with Heart Failure Phenotyped Using Artificial Intelligence Approaches: The National DCVA-HF Registry.

Journal of cardiac failure Apr 24, 2026

BACKGROUND: Major heart failure (HF) registries are limited by manual chart abstraction and to hospitalized patients. Using artificial intelligence (AI) approaches and electronic health record (EHR) data from the Veterans Affairs (VA) healthcare syst... read more

Brain-inspired strategies for efficient artificial intelligence.

Molecules and cells Apr 24, 2026

Despite being constrained by a rigid skull and a fixed number of neurons, the brain excels in processing diverse information and making adaptive decisions with remarkable efficiency. This raises a central question at the intersection of neuroscience ... read more

External Validation of the PIPRA Model for Postoperative Delirium Prediction in a Japanese ICU Cohort: Integrating AI-Based Risk Assessment into Perioperative Care.

Journal of the Academy of Consultation-Liaison Psychiatry Apr 24, 2026

BACKGROUND: Postoperative delirium (POD) is a prevalent and serious complication in older surgical patients, linked to prolonged hospitalization, higher morbidity, and long-term cognitive decline. Artificial intelligence-based prediction models have ... read more

Magnesite-modified seaweed biochar-chitosan hydrogel beads for phosphate removal: adsorption mechanism and life cycle assessment.

Bioresource technology Apr 24, 2026

Although seaweed waste and magnesite tailings are abundant, their co-utilization as precursors for phosphate adsorbents remains rarely explored. Herein, a high-efficiency and regenerable magnesite-modified seaweed biochar-chitosan hydrogel bead compo... read more

From modular engineering to practical applications: Advances in GPCR-based yeast biosensors.

Biotechnology advances Apr 24, 2026

G protein-coupled receptors (GPCRs) are pivotal biosensing elements for biosensors due to their high ligand sensitivity and specificity. Capitalizing on these attributes, GPCR-based yeast biosensors have emerged as a powerful platform that combines c... read more

Artificial Intelligence Medical Compendium