Transplantation

Graft incompatibility in fruit trees in early detection: integrating physiological, molecular, and technological approaches.

This review highlights that integrating physiological, molecular, imaging, and AI-based approaches enables early and reliable detection of graft incompatibility, improving rootstock-scion selection, orchard sustainability, fruit productivity, and long-term tree performance. One of the most serious problems in fruit growing is the breaking, weakening, or dying of the tree at the graft union, either...

Integrated machine learning for cause-of-death classification and postmortem interval prediction: Liver and kidney metabolomics from seawater-immersed rat cadavers.

PURPOSE: To assess whether liver and kidney metabolomics combined with machine learning can distinguish seawater drowning from postmortem submersion after CO2 euthanasia and estimate postmortem interval (PMI) under controlled conditions. METHODS: Sixty male Sprague-Dawley rats were assigned to a seawater-drowning group or a postmortem-submersion group after CO2 euthanasia (30 per group). Liver and...

Personalized cancer vaccines: bridging immune-oncology and precision medicine for advanced therapeutics.

Despite advancements in therapeutic cancer vaccines, clinical translation has been hindered by limited efficacy, with Sipuleucel-T remaining the only ...

Cardiorenal Syndrome: Pathophysiological Crosstalk Between Heart and Kidney.

Cardiorenal syndrome (CRS) describes the bidirectional deterioration of cardiac and renal function, in which dysfunction of one organ induces or perpe...

[Sarcoidosis-associated uveitis: Current status and future prospects].

Sarcoidosis-related uveitis is the most common manifestation of ocular sarcoidosis. It can occur at any age but preferentially affects adults aged 30 ...

Keratin gene expression signature predicts prognosis and immunotherapy efficacy in lung adenocarcinoma.

Keratins (KRTs) are intermediate filament proteins expressed in epithelial cells and serve as diagnostic cancer biomarkers. They serve pivotal roles i...

Recent Advances in Immunotherapy for Breast Cancer: An Updated Review.

Immunotherapy has revolutionized the treatment landscape of breast cancer, particularly for triple-negative breast cancer (TNBC), yet primary and acqu...

Novel opportunistic imaging biomarkers with AI-assisted sarcopenia assessment associated with survival after liver transplantation for hepatocellular carcinoma.

INTRODUCTION: The scarcity of donor organs necessitates the development of refined prognostic tools to optimize candidate selection and survival outco...

Enhancing the performance of diabetic retinopathy grading models using synthetic images.

PURPOSE: To determine whether strictly curated synthetic images can improve grading performance in diabetic retinopathy (DR) diagnosis within limited ...

Multiomics integrative bioinformatics analysis of gene expression characteristics and molecular mechanisms in preeclampsia placental tissue.

Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertension and proteinuria after 20 weeks of gestation, whi...

Primary Graft Dysfunction After Lung Transplantation: A Temporal Classification and Machine Learning Clustering.

BACKGROUND: Primary graft dysfunction (PGD) is a major cause of morbidity and mortality after lung transplantation (LTx). PGD is graded at static time...

Advances in predictive factors for pathological complete response after neoadjuvant therapy in locally advanced rectal cancer.

For locally advanced rectal cancer (LARC), neoadjuvant chemoradiotherapy (nCRT) combined with total mesorectal excision has emerged as the standard th...

Identification and analysis of EphrinB2/EphB4 signaling pathway and angiogenesis related biomarkers in coronary artery disease based on bioinformatics.

BACKGROUND: EphrinB2 and its receptor EphB4 have been reported to play a crucial role in the development of the cardiovascular system, and the process...

Interface Defects and Recombination in HTL-Free and Bilayer Cs2SnI6 Perovskite Solar Cells: Numerical Modeling and Machine Learning Analysis.

Perovskite solar cells (PSCs) are a promising technology for sustainable energy generation. Among lead-free perovskites, Cs2SnI6 offers high structura...

Quantifying Artificial Intelligence Contribution in Academic Writing: Development of the Transparency and Reporting of Artificial Intelligence Contribution for Evaluating Submissions Instrument.

BACKGROUND: There has been an increase in the availability and use of artificial intelligence (AI) across many professional domains, and there are tra...

Identification of Microbiome Associations with Tacrolimus Pharmacokinetics in Adult Hematopoietic Cell Transplantation Using Population Pharmacokinetic and Machine Learning.

PURPOSE: Tacrolimus (TAC) is known for its high pharmacokinetic variability which cannot be fully explained by pharmacogenomic (PGx) and clinical vari...

Influence of artificial intelligence on xenotransplantation and regenerative medicine on the path toward ending the organ shortage.

The purpose of this review is to summarize the most influential and conceptually significant publications from the past 2 years, including substantial...

Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma.

BACKGROUND: Epidemiological studies link long-term air pollution to an increased risk of hepatocellular carcinoma (HCC), but the underlying toxicologi...

Mapping Non-Homologous Pocket Compatibilities to Identify Hidden Drug-Target Relationships: A Pocket Hopping Framework.

Predicting small molecule-protein interactions across nonhomologous proteins remains challenging because shared ligand recognition is often not eviden...

Association of Histological Features of Cortical and Medullary Peritubular Capillaries With Progressive CKD.

RATIONALE & OBJECTIVE: Peritubular capillary (PTC) rarefaction occurs in chronic kidney disease (CKD), but the independent association of PTC histolog...