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The functional relevance of human leukocyte antigens in the development of cord blood derived advanced cellular therapies: A new direction of public cord blood banks.

CBUs have been applied as alternative source of HSCs transplantation. The increasing preference for haploidentical HSC transplantation has resulted in a reduced application of CBUs worldwide. Banked CBUs in public CBBs have been processed with the highest quality standards, representing a valuable biologic source for potential production of ATMPs. The aim of this study was to characterize the HLA ...

Structure-function relationship and intelligent regulation of polysaccharide and protein-based hydrogels in food fresh-keeping packaging: A review.

Polysaccharide- and protein-based hydrogels possess good biocompatibility, abundant functional groups, and tunable network structures, making them sustainable materials for food packaging. Through the regulation of crosslinking, pore architecture, and intermolecular interactions, these hydrogels can achieve diverse packaging functionalities, ranging from basic barrier protection to active preserva...

AI in Drug Discovery and Development.

Artificial intelligence (AI) is transforming drug discovery and development, fields historically constrained by long timelines, high costs, and substa...

Integrated machine learning, molecular docking, and molecular dynamics simulations for in silico identification of GSK3β inhibitors for Alzheimer's disease.

Glycogen Synthase Kinase-3 Beta is a multifunctional serine/threonine kinase, involved in regulating multiple cellular processes. Its dysregulation pl...

Machine Learning for Microbial Cell Factories: Pathway Design, Enzyme Engineering, and Metabolic Regulation.

Microbial cell factories represent sustainable platforms for the production of fuels, chemicals, and therapeutics, but their development is limited by...

Explainable AI for hyperspectral imaging in food quality decision support: interpretability, reliability and future directions.

Reliable food quality evaluation requires analytical systems that capture both chemical composition and spatial variability while supporting interpret...

Revealing potential biomarkers and metabolic mechanisms of ovarian aging in hens during late laying period based on machine learning and metabolomics.

Ovarian function decline during the late laying period represents a major bottleneck for the economic efficiency of the global poultry industry. Howev...

Interpretable graph neural networks for predicting drug activity in triple-negative breast cancer using scaffold-based splits.

Triple-negative breast cancer (TNBC) is an oncology indication with urgent need for drug discovery and limited targeted therapies. This work benchmark...

LCNet: balancing representation capacity and computational cost for concrete crack detection in complex backgrounds.

Concrete crack detection in complex backgrounds remains challenging due to severe visual interference and limited computational resources on edge devi...

Repurposing Non-oncologic Drugs via Targeted Nanocarriers for Cancer Therapy: Mechanisms, Synergistic Combinations, and Clinical Translation.

The urgent need for innovative cancer therapies has driven increasing interest in repurposing drugs originally developed for non-oncological diseases....

Corneal nerve regeneration: treatments and monitoring approaches.

BACKGROUND: Diagnostics and therapeutics for corneal nerve pathologies are rapidly evolving, with continual advancements in imaging, laser, machine le...

Development of food technology for the future prospect of the livestock food industry.

The global livestock food industry faces increasing challenges to reconcile the increasing demand for animal-derived foods owing to environmental sust...

Protocols for genomic epidemiology and source attribution of enteric bacteria causing diarrhoeal disease across Africa.

INTRODUCTION: Enteric bacterial pathogens are a major cause of diarrhoeal disease in low-income and middle-income countries, with complex transmission...

Observational multicentre registry to update key interventions and new approaches with artificial intelligence for heart failure (OKINAWA-HF): a retrospective medical record-derived registry study protocol.

INTRODUCTION: The efficacy of guideline-directed medical therapy (GDMT) for heart failure has been established in clinical trials, but trial populatio...

AI-enabled structural bioinformatics identifies repositioned kinase inhibitor against Poxviridae kinases.

BACKGROUND: Emerging zoonotic poxviruses such as lumpy skin disease virus (LSDV) and monkeypox pose significant threats to animal and human health, ye...

CT: A Controllable Transformer for Multi-Task TCM Facial Inspection.

Traditional Chinese Medicine (TCM) facial inspection is a non-invasive, holistic approach to health assessment, but its reliance on practitioners' sub...

Molecular characteristics and modifications of glioblastoma affecting the efficacy of immunotherapy.

Glioblastoma is a highly aggressive brain tumor characterized by complex genetic, molecular, and epigenetic features that present significant challeng...

Effects of biologic and targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) on patient-reported outcome domains in rheumatoid arthritis: a systematic review and network meta-analyses.

INTRODUCTION: Evidence from head-to-head comparisons of biologic/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) on patient-repo...

Identification of small-molecule TNF-α inhibitor candidates using machine learning-guided screening and multiscale molecular modelling.

Lumbar disc herniation (LDH) is a major cause of chronic low back pain, in which tumor necrosis factor-alpha (TNF-α) plays a central role in inflammat...

[Keeping track of things: large language models for patient synopses : Source-bound system for clinical information systems].

BACKGROUND: The increasing documentation burden in electronic health records makes it difficult to obtain a rapid overview of relevant prior informati...