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Multiorgan Dysfunction and its Association With Congestion and Outcome in Aortic Stenosis Treated With TAVI.
JACC Adv
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Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Background: Degenerative severe aortic stenosis (AS) is treated by valve replacement to improve outcome. Despite diagnostic advancements, many AS patients are still diagnosed late with advanced heart failure.
Objectives: The aim of the study was to assess multiorgan dysfunction in severe AS using blood biomarkers and their association with quantitative fluid levels and clinical outcomes after transcatheter aortic valve implantation (TAVI).
From prediction to practice: mitigating bias and data shift in machine-learning models for chemotherapy-induced organ dysfunction across unseen cancers.
BMJ Oncol
November 2024
Department of Computer Science, Durham University, Durham, UK.
Objectives: Routine monitoring of renal and hepatic function during chemotherapy ensures that treatment-related organ damage has not occurred and clearance of subsequent treatment is not hindered; however, frequency and timing are not optimal. Model bias and data heterogeneity concerns have hampered the ability of machine learning (ML) to be deployed into clinical practice. This study aims to develop models that could support individualised decisions on the timing of renal and hepatic monitoring while exploring the effect of data shift on model performance.
View Article and Find Full Text PDFRisk factor analysis and prediction of multi-organ metastasis in hepatic alveolar echinococcosis.
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Department of General Surgery, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China.
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Sci Rep
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General and Digestive Unit, Central Hospital of Defense, Spanish-Ministry of Defense, Glorieta del Ejército, 1, 28047, Madrid, Spain.
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View Article and Find Full Text PDFPhysiologically based pharmacokinetic modeling of small molecules: How much progress have we made?
Drug Metab Dispos
January 2025
Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington. Electronic address:
Physiologically based pharmacokinetic (PBPK) models of small molecules have become mainstream in drug development and in academic research. The use of PBPK models is continuously expanding, with the majority of work now focusing on predictions of drug-drug interactions, drug-disease interactions, and changes in drug disposition across lifespan. Recently, publications that use PBPK modeling to predict drug disposition during pregnancy and in organ impairment have increased reflecting the advances in incorporating diverse physiologic changes into the models.
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