AI Medical Compendium

Multilayered microelectrode array for monitoring electrophysiological signals of 3d neural networks in cerebral organoid.

Microsystems & nanoengineering May 22, 2026

Microelectrode arrays (MEAs) are widely used platforms for monitoring neuronal activity in biological systems. The advent of brain organoid technology-three-dimensional (3D) neural tissue models derived from human stem cells-has opened unprecedented ... read more

PATTY corrects open-chromatin bias for improved bulk and single-cell CUT&Tag profiling.

Nature communications May 22, 2026

Accurate epigenomic profiling is essential for understanding chromatin and gene regulation. Cleavage Under Targets & Tagmentation (CUT&Tag) enables efficient epigenomic profiling for low-input and single-cell samples and is increasingly adopted in ge... read more

Plastic pollution and its global environmental impacts: a comprehensive review of microbial biodegradation mechanisms, plastic-degrading enzymes, emerging biotechnological strategies and artificial intelligence-driven approaches for sustainable plastic waste management.

Biodegradation May 22, 2026

Plastic pollution has emerged as a critical global environmental challenge due to the persistence, chemical complexity and resistance of synthetic polymers to natural degradation, resulting in the widespread accumulation of micro- and nanoplastics ac... read more

A proteomic atlas phenotyping Fabry disease identifies a precise cardiovascular risk signature that integrates mitochondrial and lysosomal pathways.

Journal of molecular medicine (Berlin, Germany) May 22, 2026

Fabry disease is an X-linked lysosomal storage disorder caused by α-galactosidase A deficiency, leading to progressive accumulation of Gb3 and lyso-Gb3 and a complex multisystem phenotype extending beyond substrate storage. Cardiovascular involvement... read more

Machine learning in automatic detection of chordoma signature, postoperative residuals, and prognosis of skull base chordomas.

NPJ precision oncology May 22, 2026

Skull base chordomas are rare, locally invasive tumors that remain a diagnostic and therapeutic challenge. We developed a machine-learning (ML) radiomics model to (i) distinguish chordoma from chondrosarcoma and skull base background, (ii) differenti... read more

Research on multi-stage deep learning based intelligent diagnosis of skin diseases and skin medicine diagnosis community construction concept.

Scientific reports May 22, 2026

Accurate diagnosis and assessment of the severity of skin diseases are essential for appropriate clinical treatment. This paper proposes a multi-stage intelligent diagnosis framework based on deep learning to assist dermatologists in decision-making.... read more

Machine learning based hepatic safety score predicts decompensation in hepatocellular carcinoma systemic therapy.

NPJ digital medicine May 22, 2026

Hepatocellular carcinoma (HCC) frequently coexists with portal hypertension, significantly increasing the risk of hepatic decompensation (HD) and variceal bleeding during systemic therapy. We developed a machine learning based hepatic safety score (M... read more

Using Machine Learning Methodology to Identify Predictors of Non-Response to MTSS-B: a Focus on Discipline Problems and Juvenile Justice Involvement.

Prevention science : the official journal of the Society for Prevention Research May 22, 2026

Multi-tiered systems of support for behavior (MTSS-B) is a widely-used tiered preventive intervention currently used in over 25,000 schools across the USA. This study leveraged data from 16,907 elementary students across 42 schools that participated ... read more

Conversational artificial intelligence in the operating room: an exploratory cross-sectional single-center survey among anesthesiology residents.

BMC anesthesiology May 22, 2026

BACKGROUND: Conversational artificial intelligence (AI) tools, such as large language models and chat-based systems, are increasingly used by clinicians and trainees. However, empirical evidence on how anesthesiology residents integrate conversationa... read more

Developments in the design and therapeutic applications of GSK3β inhibitors.

Future medicinal chemistry May 22, 2026

Glycogen synthase kinase-3β (GSK3β) has emerged as one of the most thoroughly validated therapeutic targets in modern drug discovery, with dysregulation implicated in neurodegenerative diseases, metabolic disorders, cancer, psychiatric conditions, an... read more

Artificial Intelligence Medical Compendium