Transplantation

Noninvasive Tests for Predicting Decompensation in Compensated Advanced Chronic Liver Disease: A Comprehensive Review.

Strong non-invasive tests (NITs) are needed to predict decompensation in patients with compensated advanced chronic liver disease (cACLD) and improve personalized patient care. We conducted a comprehensive review of the studies evaluating the effectiveness of NITs in predicting decompensation or liver-related death in patients with cACLD. A literature search was conducted in the PubMed database up...

HISTAI: a valuable dataset with a valuable lesson.

The application of artificial intelligence in computational pathology depends on both robust algorithms and high-quality, clinically reliable data. Progress in this field has been limited by the scarcity of large, diverse, and well-validated whole slide image (WSI) datasets. To address this gap, HISTAI introduced an open-source resource comprising over 112,000 WSIs across multiple organ systems wi...

Rise of the Machines: Comparing Performance of Artificial Intelligence Large Language Models on Pharmacy Specialty Certification Examination Practice Questions.

BACKGROUND: Large language models (LLMs) are increasingly used for clinical information retrieval and decision support, yet comparative performance on...

IML-UNet: A brain-inspired spatiotemporal collaborative encoding method for medical image sequence registration.

BACKGROUND AND OBJECTIVE: Deformable medical image registration is important for radiotherapy planning, respiratory motion analysis, and organ functio...

From Part to Whole: Advances against Perovskite Phase Segregation in Subcells for Stable Tandem Photovoltaics.

Wide-bandgap (WBG) lead halide perovskite materials are indispensable top-cell materials for tandem solar cells (TSCs), whose high power-conversion po...

Mechanistic Insights into PFAS Rejection in Nanofiltration and Reverse Osmosis from Data-Driven Analysis.

The structural diversity and complex transport behavior of per- and polyfluoroalkyl substances (PFAS) complicate a universal characterization of their...

Neural Stem Cell-Derived Extracellular Vesicles: The Next Frontier in Neurological and Neurodegenerative Diseases.

The present manuscript provides a comprehensive overview of neural stem cell (NSC)-derived extracellular vesicles (NSC-EVs( as a cell-free approach to...

HLABrew for Human Leukocyte Antigen Class I-Presented Epitope Recognition and Mimotope Discovery.

Accurate identification of human leukocyte antigen (HLA) class I-presented epitopes is essential for developing personalized vaccines and immunotherap...

Genetic association and machine learning improve the prediction of type 1 diabetes risk.

Type 1 diabetes (T1D) has a large genetic component, and expanded genetic studies of T1D can enhance biological and therapeutic discovery and improve ...

Integrated cross-organ transcriptomic analysis uncovers conserved gene signatures predictive of allograft rejection.

Long-term transplant success is limited by allograft rejection, a complex process traditionally studied on an organ-specific basis. To establish a uni...

Research on the generalization of a blood donor recruitment framework based on machine learning.

Retinal imaging and supervised learning predict hospitalizations, kidney, and heart-lung damage in sickle cell disease.

Sickle cell disease (SCD) is a single-gene illness which causes painful vaso-occlusion, debilitating organ damage, and early mortality. Its clinical c...

Artificial intelligence-driven donor-recipient gut microbiome matching for optimized fecal microbiota transplantation.

Fecal microbiota transplantation (FMT) has emerged as a promising therapy for gastrointestinal diseases, yet its clinical efficacy remains individuall...

Resolving the ambiguous binding site of quercetin at the calcineurin subunit junction using funnel metadynamics with deep learning collective variables.

Calcineurin represents a prominent target for immunosuppressive drugs, where conventional macrocyclic inhibitors utilize an immunophilin-dependent mec...

Advances in Cell Therapy for Neural Repair.

Neural repair remains one of the foremost challenges in modern neuroscience, as damage to the central nervous system caused by injury or neurodegenera...

Development and Application of Organoids for Toxicology Studies.

Organoids are 3D in vitro models derived from human stem cells, capable of simulating the structure, function, and intercellular interactions of human...

Multimodal data analysis reveals asynchronous aging dynamics across female reproductive organs.

Female reproductive aging has systemic health implications, yet tissue-level dynamics remain poorly understood. Here we integrate deep learning analys...

A pilot study on the impact of large language model assistance on the evaluation of complex medical living kidney donor candidates.

BACKGROUND: Large language models (LLMs) are undergoing exploration as clinical decision support tools. However, their role in complex, high-stakes tr...

Anatomy data driven mechanical adaptation of bone tunnel-screw interface in ACL reconstruction.

PURPOSE: Anatomical information about bone microstructure at the anterior cruciate ligament attachment sites could guide biomimetic strategies in ante...

Precision Medicine in Autoimmune Thyroid Diseases: Decoding Biomarkers, Targeted Therapies and Digital Innovation.

INTRODUCTION: Autoimmune thyroid diseases (AITDs), including Graves' disease and Hashimoto's thyroiditis, arise from genetic, epigenetic, and environm...