AIMC Topic: Organ Transplantation
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ChatGPT and strategies for safe living following solid organ transplantation: Correspondence.
Transplant infectious disease : an official journal of the Transplantation Society
Jan 30, 2024
Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?
Transplantation
Dec 7, 2023
Medical applications of machine learning (ML) have shown promise in analyzing patient data to support clinical decision-making and provide patient-specific outcomes. In transplantation, several applications of ML exist which include pretransplant: pa...
Application of robotics in abdominal organ transplantation: A bibliometric analysis.
The international journal of medical robotics + computer assisted surgery : MRCAS
May 15, 2023
BACKGROUND: Robotic transplant surgery has garnered worldwide attention since 2002. Discussions on this issue have led to more publications over the past decade. This study assessed global robotic organ transplantation studies using bibliometric anal...
Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation.
Transplant international : official journal of the European Society for Organ Transplantation
Jul 4, 2022
Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually require human intelligence. Typical examples include complex decision-making and- image or speech analysis. AI application in healthcare is rapidly evolvin...
Machine Learning Applications in Solid Organ Transplantation and Related Complications.
Frontiers in immunology
Sep 16, 2021
The complexity of transplant medicine pushes the boundaries of innate, human reasoning. From networks of immune modulators to dynamic pharmacokinetics to variable postoperative graft survival to equitable allocation of scarce organs, machine learning...
Augmenting the Transplant Team With Artificial Intelligence: Toward Meaningful AI Use in Solid Organ Transplant.
Frontiers in immunology
Jun 11, 2021
Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized immunosuppression regimens that could improve patient outcomes. In the future, integrating all of this information with other patient history data wil...
Mycophenolic Acid Exposure Prediction Using Machine Learning.
Clinical pharmacology and therapeutics
Apr 6, 2021
Therapeutic drug monitoring of mycophenolic acid (MPA) based on area under the curve (AUC) is well-established and machine learning (ML) approaches could help to estimate AUC. The aim of this work is to estimate the AUC of MPA in organ transplant pat...
Tacrolimus Exposure Prediction Using Machine Learning.
Clinical pharmacology and therapeutics
Jan 18, 2021
The aim of this work is to estimate the area-under the blood concentration curve of tacrolimus (TAC) following b.i.d. or q.d. dosing in organ transplant patients, using Xgboost machine learning (ML) models. A total of 4,997 and 1,452 TAC interdose ar...
Improving the Rate of Translation of Tissue Engineering Products.
Advanced healthcare materials
Aug 6, 2019
Over 100 000 research articles and 9000 patents have been published on tissue engineering (TE) in the past 20 years. Yet, very few TE products have made their way to the market during the same period. Experts have proposed a variety of strategies to ...
A 6 Second Analytical Method for Quantitation of Tacrolimus in Whole Blood by Use of Laser Diode Thermal Desorption Tandem Mass Spectrometry.
The journal of applied laboratory medicine
Dec 7, 2018
BACKGROUND: Therapeutic drug monitoring of immunosuppressive drugs is imperative for organ transplant recipients. High-performance LC-MS/MS is considered gold standard; however, immunoassays provide rapid turnaround time. New technology was developed...
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