Transplantation

AI-Enabled Smart Glasses for Active Aging: Scoping Review.

BACKGROUND: The daily use of digital technologies is transforming the day-to-day lives of older adults. Among these technologies, artificial intelligence-enabled smart glasses have recently emerged, which allow constant interaction with the device itself and with the environment. They are designed to be used for multitasking, including options such as being able to take photographs and/or videos; ...

PAST, PRESENT and FUTURE OF LUPUS NEPHRITIS.

INTRODUCTION: Our objective is to delineate the evolution of lupus nephritis (LN) histological classifications and management, from their origins to the present histopathological framework and treatment strategies, and to consider prospective future directions.Areas covered. We describe the origins and progressive development of LN, particularly on histological classifications and pharmacological ...

Letter to the Editor: The application of generative artificial intelligence in liver transplantation weight trajectory.

From conventional screening to self-driving discovery: Organ-on-Chip platforms as engines for AI-guided nanomedicine.

Nanoparticles have become an essential platform for next-generation drug delivery and therapeutic development, yet clinical translation remains limite...

Machine learning derived proliferating T cell-related signature: a novel biomarker for prognosis and treatment efficacy in clear cell renal cell carcinoma.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) exhibits profound molecular heterogeneity, and reliable biomarkers for predicting clinical outcome...

Computational Fluid Dynamics Simulations to Inform Cancer Therapeutics.

Cancer therapies such as chemotherapy, radiopharmaceutical therapy, and transarterial embolization rely on effective drug or radiation delivery throug...

Improved outcomes and donor utilization in heart transplantation with 10 °C static cold storage.

OBJECTIVE: To compare 10 °C static cold storage (SCS) with traditional ice for cardiac allograft preservation, its impact on post-transplant outcomes,...

CodeSafetyBench evaluating and improving ethical safety in large language model code generation.

As large language models transform software development, they introduce significant ethical and safety risks, with research revealing a 78.67% probabi...

A machine learning-based triage system for systemic EBV-positive T/NK cell lymphoproliferative diseases of childhood.

Systemic Epstein-Barr virus-positive (EBV-positive) T/NK cell lymphoproliferative diseases of childhood (sEBV+T/NK-LPD) are a spectrum of rare disease...

Brain organoids in environmental neurotoxicology: applications, mechanisms, and future perspectives.

The advent of human induced pluripotent stem cell (hiPSC)-derived brain organoids represents a significant advance in environmental neurotoxicology, p...

Navigated hepatic tumor resection using intraoperative ultrasound imaging.

PURPOSE: This proof-of-concept study evaluates the feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike mo...

Sign4all: a Spanish Sign Language dataset.

Sign Language Recognition (SLR) is a critical component of human-machine interaction, enabling more inclusive technologies for the deaf and hard-of-he...

Integrating scRNA-seq and snRNA-seq with spatial transcriptomics to unlock the xylem puzzle.

BACKGROUND: Xylem development is a dynamic, continuous process fundamental to secondary growth in woody plants and to biomass accumulation on earth. W...

Machine learning framework for passage-based quality control of Hanwoo muscle satellite cells for cultured meat.

Myogenic satellite cells from Hanwoo (Korean native cattle) are valuable for cultured meat and livestock biotechnology, serving as a primary cellular ...

CT-derived sarcopenia and myosteatosis predict treatment escalation in hospitalized patients with inflammatory Bowel disease.

BACKGROUND: Sarcopenia and myosteatosis reflect muscle quantity and quality and are linked to adverse outcomes in chronic diseases. Their role in pred...

Single-nucleus and machine-learning integration identifies HLA-DRA and FTL as immune-metabolic axes and traditional Chinese medicine-targetable hubs in calcific aortic valve disease.

Prospective pilot evaluation of a deep learning model for kidney stone detection on CT using a web-based workflow platform.

Rapid and reliable detection of kidney stones on non-contrast abdominal CT is essential for timely decision-making in emergency radiology. However, ri...

Emerging trends and converging evidence in tumor evolution: A comprehensive review.

BACKGROUND: Tumor evolution is a spatiotemporal dynamic process orchestrated by the interplay of genetic mutations, epigenetic reprogramming, and bidi...

Multi-Score Reinforcement Learning for High-Tg Polyimide Design.

This study explores strategies to guide the generation of polyimides with high glass transition temperatures (Tg > 750 K) through reinforcement learni...

Single-cell transcriptomic analysis and machine learning identify ATAD3A as a key gene that stabilizes mitochondrial-endoplasmic reticulum membranes, promoting bladder cancer progression.

BACKGROUND: Mitochondria-associated endoplasmic reticulum membranes (MAM) play a critical regulatory role in cancer, yet their function in bladder can...