Heart Transplantation

Dynamic Lymphocyte Recovery Patterns Predict 90-Day Mortality in Sepsis: A Machine Learning-Enhanced Analysis of the MIMIC-IV Cohort

Sepsis-induced immunosuppression, characterized by lymphopenia, is associated with adverse outcomes. We aimed to identify distinct lymphocyte recovery patterns in patients with sepsis, evaluate their association with mortality, and develop a machine learning model to enhance prediction This retrospective cohort study included adult patients with sepsis and initial lymphopenia (Absolute Lymphocyte ...

Precision Immunosuppression and Long-Term Kidney Transplant Outcomes: A Dual Survival Modeling Framework

Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney transplantation. Both induction and maintenance therapies are widely used, yet their comparative effectiveness across heterogeneous populations requires further evaluation. To this end, this national retrospective cohort study analyzed 228,855 deceased-donor kidney transplant recipients using the over...

How should artificial intelligence be used in breast screening? Women's reasoning about workflow options.

Studies show that breast screening participants are open to artificial intelligence (AI) in breast screening, but hold concerns about AI performance, ...

Establishment and Validation of the Novel Necroptosis-related Genes for Predicting Stemness and Immunity of Hepatocellular Carcinoma Machine-learning Algorithm.

BACKGROUND: Necroptosis, a recently identified mechanism of programmed cell death, exerts significant influence on various aspects of cancer biology, ...

Bayesian-optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers.

Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However, identifying hub genes regulating mitophagy and de...

Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers

Whole-body hemodynamics simulators, which model blood flow and pressure waveforms as functions of physiological parameters, are now essential tools ...

Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor Aviary

This paper presents a novel approach for robust 3D tracking of multiple birds in an outdoor aviary using a multi-camera system. Our method addresses...

Re-calibrating methodologies in social media research: Challenge the visual, work with Speech

This article methodologically reflects on how social media scholars can effectively engage with speech-based data in their analyses. While contempor...

Identification of novel M2 macrophage-related molecule ATP6V1E1 and its biological role in hepatocellular carcinoma based on machine learning algorithms.

Hepatocellular carcinoma (HCC) remains the most prevalent form of primary liver cancer, characterized by late detection and suboptimal response to cur...

Multicenter integration analysis of TRP channels revealed potential mechanisms of immunosuppressive microenvironment activation and identified a machine learning-derived signature for improving outcomes in gliomas.

AIM: This study aimed to explore the mechanisms of transient receptor potential (TRP) channels on the immune microenvironment and develop a TRP-relate...

Quantification of follicles in human ovarian tissue using image processing software and trained artificial intelligence†.

Cancer survival rates in prepubertal girls and young women have risen in recent decades due to increasingly efficient treatments. However, many such t...

Derivation and Experimental Performance of Standard and Novel Uncertainty Calibration Techniques.

To aid in the transparency of state-of-the-art machine learning models, there has been considerable research performed in uncertainty quantification (...

DETERMINATION OF THE PRA POSITIVITY PERCENTAGE IN MALE PATIENTS WITH CHRONIC KIDNEY DISEASE BY USING FLOW CYTOMETRY TECHNIQUE.

The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role in allograft histocompatibility, are called anti-HL...

[Experience in performing robot-assisted radical prostatectomy in patients after heart transplan- tation].

INTRODUCTION: Prostate cancer (PCa) occupies a leading position in the structure of oncological morbidity and mortality and is an urgent problem of mo...

Interleukin-6 and interleukin-8 levels in children with aplastic anemia and its correlation with disease severity and response to immunosuppressive therapy.

BACKGROUND: Aplastic anemia (AA) is an uncommon condition characterized by pancytopenia and hypocellular bone marrow. Interleukin (IL)-6 and IL-8 have...

Reducing Geometric Uncertainty in Computational Hemodynamics by Deep Learning-Assisted Parallel-Chain MCMC.

Computational hemodynamic modeling has been widely used in cardiovascular research and healthcare. However, the reliability of model predictions is la...

Robotic Kidney Transplantation Under Regional Hypothermia.

The technique of robotic kidney transplantation (RKT) under regional hypothermia is being described. It may be performed in all patients requiring kid...

Predictive Value of Immune Cell Functional Assay for Non-Cytomegalovirus Infection in Lung Transplant Recipients: A Multicenter Prospective Observational Study.

INTRODUCTION: Immune cell functional assay (ImmuKnow®) is a non-invasive method that measures the state of cellular immunity in immunosuppressed patie...

Therapeutic monitoring of mycophenolic acid in renal transplanted patients by a validated HPLC method.

INTRODUCTION: Mycophenolate mofetil and its active metabolite mycophenolic acid are routinely used as immunosuppressant drugs in solid organ transplan...

Efficacy and safety of a switch from twice-daily tacrolimus to once-daily generic tacrolimus in stable liver transplant patients.

BACKGROUND: Once-daily tacrolimus reduces non-compliance relative to twice-daily tacrolimus. However, little is known about the safety and efficacy of...