Kidney Transplantation

Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals.

Numerous studies have demonstrated that eyeblinks and other large artifacts can decrease the signal-...

Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Machine learning is increasingly used to predict lifestyle-related disease onset using health and me...

Modelling the liver's regenerative capacity across different clinical conditions.

BACKGROUND & AIMS: Liver regeneration is essential for recovery following injury, but this process c...

Cross-organ hierarchy of HLA molecular mismatches in donor-specific antibody development in solid organ transplantations.

Donor-specific antibodies (DSAs) against human leukocyte antigen (HLA) play a crucial role in antibo...

Development of an immune scoring system based on exosome-related gene expression for prognosis and treatment response prediction in breast cancer.

Breast cancer (BC) is a heterogeneous disease with diverse subtypes that influence prognosis and tre...

Disulfide bond-related gene signature development for bladder cancer prognosis prediction and immune microenvironment characterization.

Bladder cancer is the fourth most common malignant tumor in men, with limited therapeutic biomarkers...

Immunotyping the Tumor Microenvironment Reveals Molecular Heterogeneity for Personalized Immunotherapy in Cancer.

The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes,...

Advances of oncolytic vaccinia viruses armed with interleukin in tumor therapy.

Oncolytic vaccinia viruses armed with interleukins represent a promising frontier in tumor therapy. ...

Predicting Treatment Outcomes in Glioblastoma: A Risk Score Model for TMZ Resistance and Immune Checkpoint Inhibition.

Glioblastoma (GBM) presents significant therapeutic challenges due to its invasive nature and resist...

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse.

BACKGROUND: Patients with end-stage kidney disease undergoing dialysis face significant physical, ps...

Longitudinal changes in minerals are influenced by immunosuppressive treatment in men with granuloma disease.

PURPOSE: To investigate whether granuloma formation following self-administered cosmetic oil injecti...

Exosomes derived from human umbilical cord mesenchymal stem cells attenuate senescence of peritoneal mesothelial cells by inhibiting oxidative stress.

OBJECTIVE: Aging is a natural process that affects cellular function. In peritoneal dialysis (PD), c...

Push Forward Clinical Management of Hematological Toxicity due to Lenalidomide Overexposure: Model-Informed Precision Dosing for Chinese Population With Renal Insufficiency.

Dose-dependent hematological toxicity of lenalidomide has been reported previously, and thus, there ...

Comparison of Machine Learning Algorithms and Bayesian Estimation in Predicting Tacrolimus Concentration in Tunisian Kidney Transplant Patients During the Early Post-Transplant Period.

BACKGROUND AND OBJECTIVE: Model-informed precision dosing (MIPD), based on a Bayesian approach and m...

Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology.

Large language models generate plausible text responses to medical questions, but inaccurate respons...

Development and external validation of a machine learning model for cardiac valve calcification early screening in dialysis patients: a multicenter study.

BACKGROUND: Cardiac valve calcification (CVC) is common in dialysis patients and associated with inc...

Beyond immunosuppression: decoding systemic immune dysregulation in ICU-acquired pneumonia.

Timing of kidney replacement therapy in critically ill patients: A call to shift the paradigm in the era of artificial intelligence.

Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated wit...

Pancreas rejection: quieting the storm to preserve graft function.

PURPOSE OF REVIEW: Allograft rejection remains enigmatic and elusive following pancreas transplantat...

Ambiguity-aware semi-supervised learning for leaf disease classification.

In deep learning, Semi-Supervised Learning is a highly effective technique to enhances neural networ...

Machine learning-guided performance prediction of forward osmosis polymeric membranes for boron recovery.

Efficient recovery of boron is one of the crucial strategies of sustainably extracting valuable reso...