Transplantation

Predicting Expiration Among Potential Donation after Circulatory Death Donors at 30- and 120 Minutes Post Extubation.

PURPOSE: Many potential Donation After Circulatory Death (DCD) donors do not progress to circulatory death within meaningful timeframes, leading to wasted procurement resources. We therefore sought to develop robust machine learning models to predict donor expiration at 30- and 120-minutes following extubation. METHODS: We performed a retrospective cohort study using data from three organ procurem...

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension.

INTRODUCTION AND OBJECTIVES: Risk scores for pulmonary hypertension (PH) have been proven useful in adults. However, no risk score has been validated in pediatric populations. Our aim was to adapt the REVEAL Lite 2 score to pediatrics, including groups 1 (pulmonary arterial hypertension) and 3 (PH associated with lung diseases). METHODS: We used data from the REHIPED, which is the PH registry of t...

Anatomically parameterised statistical shape modelling of LVAD-supported left ventricles for thrombosis risk assessment.

Heart failure remains a major global burden, and limited donor availability has made left ventricular assist devices (LVADs) a critical alternative. H...

Multi-modal machine learning highlights recipient genetic and clinical factors as primary drivers of post-transplant MASLD: A two-center study.

Development and Validation of a Deep Learning-Based Segmentation Method for Fenestration Marker and Graft Body Identification in Fenestrated Endovascular Aortic Repair.

OBJECTIVE: To develop and validate a deep learning-based segmentation method for accurate identification of fenestration markers and graft body contou...

Laboratory Medicine Approaches for Assessing Delayed Graft Function in Renal Transplant.

BACKGROUND: Delayed graft function (DGF) remains a significant complication in renal transplantation, adversely affecting graft survival, patient qual...

Multimodal clinical-imaging deep learning model for predicting refractory hypersplenism after liver transplantation.

Gut microbiome and metabolic health: mechanisms and precision interventions.

The gut microbiome is increasingly recognized as a fundamental regulator of metabolic health, shaping energy balance, insulin sensitivity, inflammator...

Divergent macrophage-regulated T cell states determine response to Bacillus Calmette-Guérin vaccine in high-risk bladder cancer.

BACKGROUNDPrimary therapy for high-risk bladder cancer (BCa) is repeated instillations of the tuberculosis vaccine Bacillus Calmette-Guérin (BCG). Alt...

Synthetic fluorescent receptor arrays for sensing in complex matrices: from robust chemistry to data-driven readouts.

Sensing is moving from specific lock-and-key biorecognition toward chemically programmable, pattern-based approaches. Synthetic fluorescent receptor a...

Generative artificial intelligence for surgical site infection surveillance.

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive. This study investigates the potential of generati...

Beta cell microRNAs function as molecular hubs of type 1 diabetes pathogenesis and as biomarkers of diabetes risk.

AIMS/HYPOTHESIS: Clinically actionable biomarkers that accurately reflect the health status of the beta cell are needed to improve risk stratification...

Genetic algorithm-guided design of garlic-derived ligands targeting the TEN domain of telomerase reverse transcriptase with machine learning-based activity classification.

Human telomerase reverse transcriptase (hTERT) plays a key role in cancer cell immortalization and represents an important therapeutic target for anti...

The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians.

The extent to which human adaptations have persisted throughout history despite strong eroding demographic events such as admixture, genetic drift, an...

Identification and Experimental Validation of Biomarkers Associated with PI3K/AKT Signaling Pathway in Spinal Cord Injury.

Spinal cord injury (SCI) refers to trauma to the spinal cord resulting in functional deficits. Dysregulation of the phosphoinositide 3-kinase/serine-t...

In vivo CAR-cell therapy: current challenges and emerging therapeutic advances.

In vivo chimeric antigen receptor (CAR) cell therapy is undergoing a transformative shift from conventional ex vivo manufacturing toward in situ cellu...

Uncoupling toxicity from efficacy in donor selection for allogeneic hematopoietic cell transplantation: a retrospective cohort study using double machine learning.

Haploidentical hematopoietic cell transplantation (HCT) offers potent graft-versus-tumor effects but is historically limited by higher non-relapse mor...

SOHO State of the Art Updates and Next Questions | Management of Primary Central Nervous System Lymphoma.

Primary Central Nervous System Lymphoma (PCNSL) is a rare and aggressive form of extranodal non-Hodgkin lymphoma. Recent insights into the molecular c...

The role of artificial intelligence-enhanced multispectral imaging in burn surgery decision-making: A patient-centered mixed-methods service evaluation.

BACKGROUND: Artificial intelligence (AI) supported imaging is increasingly used across plastic surgery, including burn care, to assist with assessment...

A review of clinical trial radiotherapy quality assurance: value, evolution and lessons.

BACKGROUND AND PURPOSE: Deviations in radiotherapy quality can significantly affect clinical trial outcomes, including overall survival. Radiotherapy ...