Credit: Maxger / iStock / Getty Images Plus An artificial intelligence tool can identify potential complications after bone marrow or stem cell transplantation before symptoms arise, which could allow for …
learning
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Bone marrow transplantion
Challenging a clinical dogma with multimodal machine learning: a retrospective analysis of transplant mismatched donor selection
In the modern era of post-transplantation cyclophosphamide (PTCy), clinicians frequently face a choice between the two most common mismatched donor options: haploidentical donors and mismatched unrelated donors (MMUD) [1]. While …
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Kidney Transplantation
Revolutionizing Kidney Transplant Success with Deep Learning
by Bioengineerby BioengineerIn a groundbreaking study poised to revolutionize the field of organ transplantation, researchers have harnessed the power of deep learning techniques to enhance the prediction of transplant recipient outcomes and …
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Liver Transplantation
Machine learning model to predict tacrolimus concentrations and suggest optimal doses in liver transplant recipients: a multicenter retrospective cohort study
Research approval This study was conducted in accordance with the tenets of the Declaration of Helsinki. The Institutional Review Board of Seoul National University Hospital approved the research proposal (approval …
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Dialysis
Machine learning model can predict survival in dialysis patients undergoing continuous renal replacement therapy
by News Sourceby News SourceInvestigation result A UCLA-led team has developed a machine learning model that can accurately predict short-term survival in dialysis patients undergoing continuous renal replacement therapy (CRRT). background CRRT is a …
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Big innovations often emerge from the intersection of multiple technologies and disciplines. One notable example may be in your hand or pocket right now. It is a combination of communication …