Kidney Transplantation

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...

Orexin Restoration in Narcolepsy: Breakthroughs in Cellular Therapy.

Narcolepsy is a chronic neurodegenerative disorder defined by the selective loss of orexin-producing...

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...

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

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

Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis.

OBJECTIVE: To compare the performance of predictive models for cardiovascular event (CVE) in patient...

ShenJiaoLingCao decoction ameliorates cyclophosphamide-induced splenic injury and immunosuppression via the inhibition of MEK/ERK signaling pathway activity and modulation of amino acid metabolism.

ETHNOPHARMACOLOGICAL RELEVANCE: ShenJiaoLingCao Decoction (SJLCD) is derived from the classic Chines...

Accurate bladder cancer diagnosis using ensemble deep leaning.

There are an estimated 1.3 million cases of cancer globally each year, making it one of the most ser...

Urinary biomarkers of kidney transplant rejection.

PURPOSE OF REVIEW: Despite the introduction of many new immunosuppressive medications, allograft rej...

Bibliometric and LDA analysis of acute rejection in liver transplantation: Emerging trends, immunotherapy challenges, and the role of artificial intelligence.

With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become i...

Multiple omics-based machine learning reveals specific macrophage sub-clusters in renal ischemia-reperfusion injury and constructs predictive models for transplant outcomes.

BACKGROUND: Ischemia-reperfusion injury (IRI) is closely associated with numerous severe postoperati...

Transcriptome analysis reveals the potential role of neural factor EN1 for long-terms survival in estrogen receptor-independent breast cancer.

Breast cancer patients with estrogen receptor-negative (ERneg) status, encompassing triple negative ...

Design and implementation of an independent-drive bionic dragonfly robot.

Bionic flapping wing robots achieve flight by imitating animal flapping wings, which are safe, flexi...

Biomarker and clinical data-based predictor tool (MAUXI) for ultrafiltration failure and cardiovascular outcome in peritoneal dialysis patients: a retrospective and longitudinal study.

OBJECTIVES: To develop a machine learning-based software as a medical device to predict the enduranc...

Visit-to-visit blood pressure variability and clinical outcomes in peritoneal dialysis - based on machine learning algorithms.

This study aims to investigate the association between visit-to-visit blood pressure variability (VV...

Plant-inspired decentralized controller for robust orientation control of soft robotic manipulators.

Due to the complexity of deformations in soft manipulators, achieving precise control of their orien...

Research on the development of an intelligent prediction model for blood pressure variability during hemodialysis.

OBJECTIVE: Blood pressure fluctuations during dialysis, including intradialytic hypotension (IDH) an...