AIMC Topic: Donor Selection
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Predicting haemoglobin deferral using machine learning models: Can we use the same prediction model across countries?
Vox sanguinis
Apr 18, 2024
BACKGROUND AND OBJECTIVES: Personalized donation strategies based on haemoglobin (Hb) prediction models may reduce Hb deferrals and hence costs of donation, meanwhile improving commitment of donors. We previously found that prediction models perform ...
A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization.
Kidney international
Nov 3, 2023
Lesion scores on procurement donor biopsies are commonly used to guide organ utilization for deceased-donor kidneys. However, frozen sections present challenges for histological scoring, leading to inter- and intra-observer variability and inappropri...
Identify Hard-to-Place Kidneys for Early Engagement in Accelerated Placement With a Deep Learning Optimization Approach.
Transplantation proceedings
Jan 12, 2023
Recommended practices that follow match-run sequences for hard-to-place kidneys succumb to many declines, accruing cold ischemic time and exacerbating kidney quality that may lead to unnecessary kidney discard. Hard-to-place deceased donor kidneys ac...
Evaluation of a Machine Learning-Based Prognostic Model for Unrelated Hematopoietic Cell Transplantation Donor Selection.
Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation
Feb 2, 2018
The survival of patients undergoing hematopoietic cell transplantation (HCT) from unrelated donors for acute leukemia exhibits considerable variation, even after stringent genetic matching. To improve the donor selection process, we attempted to crea...
[Evaluation of equations using cystatin C for estimation of the glomerular filtration rate in healthy adult population of canidates for kidney donors.].
Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina)
Sep 8, 2017
The determination of the glomerular filtration rate (GFR) is critical for the selection of potential kidney donors. Methods of measurement of GFR are impractical and complex, which led to development of equations to estimate GFR. Objective: To evalua...
Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.
Blood advances
Dec 10, 2024
We investigated the impact of donor characteristics on outcomes in allogeneic hematopoietic cell transplantation (HCT) recipients using a novel machine learning approach, the Nonparametric Failure Time Bayesian Additive Regression Trees (NFT BART). N...
Live-Donor Kidney Transplant Outcome Prediction (L-TOP) using artificial intelligence.
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Nov 27, 2024
BACKGROUND: Outcome prediction for live-donor kidney transplantation improves clinical and patient decisions and donor selection. However, the currently used models are of limited discriminative or calibration power and there is a critical need to im...
Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Organ procurement organizations (OPOs) play a crucial role in the field of organ transplantation, serving as key intermediaries in the process of organ donation. However, despite their vital function, there exists a pressing issue of transparency wit...
Predicting Kidney Discard Using Machine Learning.
Transplantation
Sep 1, 2021
BACKGROUND: Despite the kidney supply shortage, 18%-20% of deceased donor kidneys are discarded annually in the United States. In 2018, 3569 kidneys were discarded.
Humans
Neural Networks, Computer
Decision Support Techniques
Kidney Transplantation
Female
Risk Factors
Aged
Young Adult
Decision Trees
Predictive Value of Tests
Biopsy
Tissue Donors
Perfusion
United States
Adult
Donor Selection
Kidney Function Tests
Male
Support Vector Machine
Middle Aged
Risk Assessment
Machine learning methods in organ transplantation.
Current opinion in organ transplantation
Aug 1, 2020
PURPOSE OF REVIEW: Machine learning techniques play an important role in organ transplantation. Analysing the main tasks for which they are being applied, together with the advantages and disadvantages of their use, can be of crucial interest for cli...
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