Transplantation

Kidney Transplantation

Latest AI and machine learning research in kidney transplantation for healthcare professionals.

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Showing 379-399 of 3,539 articles
Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle.

High-gain observers have been extensively applied to construct output-feedback adaptive neural contr...

Feedback error learning control of magnetic satellites using type-2 fuzzy neural networks with elliptic membership functions.

A novel type-2 fuzzy membership function (MF) in the form of an ellipse has recently been proposed i...

Domesticating the Drone: The Demilitarisation of Unmanned Aircraft for Civil Markets.

Remotely piloted aviation systems (RPAS) or 'drones' are well known for their military applications,...

A Stability-Indicating HPLC Method for the Determination of Fingolimod in Pharmaceutical Dosage Forms.

Fingolimod is an immunosuppressive agent which is used for the prophylaxis of organ transplantation ...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

Blended cellulose nitrate/cellulose acetate membranes for enhanced water treatment performance in ultrafiltration.

The utilization of cellulose derivatives offers an eco-friendly alternative to petroleum-based polym...

The Critical Role of APOE+ Macrophages in the Immune Microenvironment and Prognosis of Lung Adenocarcinoma.

The immunoregulatory functions and clinical implications of APOE+ macrophages within the tumour micr...

Sepsis criteria and kidney function: eliminating sex, age and economic status biases.

The kidney is a target organ for the dysregulated host response to infection that defines sepsis, an...

Severe community-acquired pneumonia (sCAP): advances in management and future directions.

Severe community-acquired pneumonia (sCAP) is a major global health challenge, with high morbidity a...

Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies.

BACKGROUND: Assessing the extent of inflammation in peritubular capillaries (PTCs) is important for ...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...

DFT-assisted machine learning for polyester membrane design in textile wastewater recovery applications.

Resource recovery from textile wastewater has attracted increasing interest because it simultaneousl...

Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing.

This research presents an enhanced predictive model for green sand casting, designed to tackle the n...

Development of Machine-Learning-Based Models for Detection of Cognitive Impairment in Patients Receiving Maintenance Hemodialysis.

BACKGROUND: Cognitive impairment is common but frequently undiagnosed in the dialysis population. We...

Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution.

The pharmaceutical sector is aware of supercritical CO (SC-CO) as a possible replacement for problem...

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