Publications by authors named "K C Linhares"
Machine learning (ML) models have recently shown potential for predicting kidney allograft outcomes. However, their ability to outperform traditional approaches remains poorly investigated. Therefore, using large cohorts of kidney transplant recipients from 14 centers worldwide, we developed ML-based prediction models for kidney allograft survival and compared their prediction performances to those achieved by a validated Cox-Based Prognostication System (CBPS).
View Article and Find Full Text PDFBackground: Clinical decisions are mainly driven by the ability of physicians to apply risk stratification to patients. However, this task is difficult as it requires complex integration of numerous parameters and is impacted by patient heterogeneity. We sought to evaluate the ability of transplant physicians to predict the risk of long-term allograft failure and compare them to a validated artificial intelligence (AI) prediction algorithm.
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- The study combines ethnobotanical and ecological knowledge to identify priority species for conservation in the Chapada Araripe region, focusing on woody medicinal plants.
- A total of 107 species were documented, finding that only 59% in cerrado and 38% in carrasco areas matched with local availability from phytosociological surveys.
- The research highlights a disconnect between the medicinal use of certain species and their real availability, emphasizing the importance of prioritizing conservation efforts to prevent negative impacts on local ecosystems and economies.
Background: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to enhance risk stratification for kidney transplant recipients by generating continuously refined predictions of survival using updates of clinical data.
Methods: In this observational study, we used data from adult recipients of kidney transplants from 18 academic transplant centres in Europe, the USA, and South America, and a cohort of patients from six randomised controlled trials.
Background: The short-term efficacy and safety of everolimus in combination with tacrolimus have been described in several clinical trials. Yet, detailed long-term data comparing the use of everolimus or mycophenolate in kidney transplant recipients receiving tacrolimus are lacking.
Methods: This is a 5-y follow-up post hoc analysis of a prospective trial including 288 patients who were randomized to receive a single 3-mg/kg dose of rabbit antithymocyte globulin, tacrolimus, everolimus (EVR), and prednisone (rabbit antithymocyte globulin/EVR, n = 85); basiliximab, tacrolimus, everolimus, and prednisone (basiliximab/EVR, n = 102); or basiliximab, tacrolimus, mycophenolate, and prednisone (basiliximab/mycophenolate, n = 101).