Latest AI and machine learning research in kidney transplantation for healthcare professionals.
BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is increasingly used off-label in pediatric immune-mediated renal diseases. The aims of this study were to develop and validate pharmacokinetic models for mycophenolic acid (MPA), the active metabolite of MMF, to optimize dosing strategies in Chinese pediatric patients with immune-mediated renal diseases ...
The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes, yet its composition remains highly heterogeneous, and currently, no highly accessible, high-throughput method exists to define it. To address this complexity, the TMEclassifier, a machine-learning tool that classifies cancers into three distinct subtypes: immune Exclusive (IE), immune Suppressive (...
Oncolytic vaccinia viruses armed with interleukins represent a promising frontier in tumor therapy. Oncolytic vaccinia viruses express IL-2, IL-10, IL...
Wnt signaling is important in embryonic development and tumorigenesis. These biological effects can be exerted by the activation of the β-catenin-depe...
Glioblastoma (GBM) presents significant therapeutic challenges due to its invasive nature and resistance to standard chemotherapy, i.e., temozolomide ...
BACKGROUND: Patients with end-stage kidney disease undergoing dialysis face significant physical, psychological, and social challenges that impact the...
PURPOSE: To investigate whether granuloma formation following self-administered cosmetic oil injections affects mineral homeostasis, specifically calc...
OBJECTIVE: Aging is a natural process that affects cellular function. In peritoneal dialysis (PD), chronic exposure to dialysate induces oxidative str...
Dose-dependent hematological toxicity of lenalidomide has been reported previously, and thus, there is a clinical need for dose individualization to m...
BACKGROUND AND OBJECTIVE: Model-informed precision dosing (MIPD), based on a Bayesian approach and machine learning (ML) algorithms, is a suitable app...
Narcolepsy is a chronic neurodegenerative disorder defined by the selective loss of orexin-producing neurons in the lateral hypothalamus, leading to e...
Large language models generate plausible text responses to medical questions, but inaccurate responses pose significant risks in medical decision-maki...
BACKGROUND: Cardiac valve calcification (CVC) is common in dialysis patients and associated with increased cardiovascular risk. However, early screeni...
Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated with high mortality rates, particularly when kidney r...
In deep learning, Semi-Supervised Learning is a highly effective technique to enhances neural network training by leveraging both labeled and unlabele...
OBJECTIVE: To compare the performance of predictive models for cardiovascular event (CVE) in patients undergoing peritoneal dialysis (PD) based on mac...
ETHNOPHARMACOLOGICAL RELEVANCE: ShenJiaoLingCao Decoction (SJLCD) is derived from the classic Chinese medicine prescription, which consists of ten kin...
There are an estimated 1.3 million cases of cancer globally each year, making it one of the most serious types of urinary tract cancer. The methods us...
PURPOSE OF REVIEW: Despite the introduction of many new immunosuppressive medications, allograft rejection remains a significant complication in trans...