Kidney Transplantation

An improved domain-adversarial network for predicting hemodialysis adequacy.

Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease...

Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanis...

Seeker-M: A bionic mantis shrimp robot with an adjustable-mass flexible spine.

To enhance the motion flexibility and environmental adaptability of underwater robots, this study pr...

Prediction of the risk of transplant rejection based on RNA sequencing data of PBMCs before transplantation.

Novel methods for detecting transplant rejection are craved, since conventional methods can detect o...

Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis.

Current first-line treatments of paediatric ulcerative colitis (UC) maintain a 6-month remission in ...

Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...

A Multi-Model Ensemble for Advanced Prediction of Reverse Osmosis Performance in Full-Scale Zero-Liquid Discharge Systems.

The growing reliance on reverse osmosis (RO) in zero liquid discharge (ZLD) and seawater desalinatio...

Development and validation of machine learning predictive models for assessing dialysis adequacy in dialysis patients.

PURPOSE: The assessment of dialysis adequacy is of great clinical importance. However, it depends on...

Toward a unified pipeline for natural product discovery: tools and strategies for NRPS and PKS pathway exploration and engineering.

Covering: up to 2025.Non-ribosomal peptide synthetases and polyketide synthases are modular biosynth...

Comprehensive Characterization of the Immune Microenvironment Based on Nested Resampling Machine Learning Framework Identifies TRAF3 Interacting Protein 3 as a Promising Regulator to Improve the Resistance to Immunotherapy in Glioma.

Diffuse glioma, the most prevalent and malignant intracranial tumor, presents a formidable challenge...

Estimation of Overall Cyclosporine Exposure Using Machine Learning.

BACKGROUND: Cyclosporine (CsA), an immunosuppressant widely used in solid-organ transplantation, req...

Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs.

Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal c...

Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma.

Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mecha...

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failur...

Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant.

BACKGROUND: Heart transplant rejection, particularly acute cellular rejection (ACR), remains a criti...

Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics.

Glioma is a highly heterogeneous and aggressive brain tumour that demands an integrated understandin...

Effectiveness of a smart management system in improving adherence and clinical outcomes of patients receiving peritoneal dialysis: a retrospective cohort analysis.

BACKGROUND: Peritoneal dialysis (PD) is a widely used form of home dialysis. However, the efficacy o...

Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.

Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute reject...

A transfer learning based deep neural network adaptive controller for the Furuta pendulum subject to uncertain disturbance signals.

In this study, a control algorithm that integrates a Deep Neural Network (DNN) adaptive control arch...

Visit-to-visit blood pressure variability as a prognostic marker in peritoneal dialysis: insights from machine learning-based risk models.

Prediction of postoperative infection through early-stage salivary microbiota following kidney transplantation using machine learning techniques.

Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the life...