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AiGPro: a multi-tasks model for profiling of GPCRs for agonist and antagonist.
J Cheminform
January 2025
School of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, 06978, Seoul, Republic of Korea.
G protein-coupled receptors (GPCRs) play vital roles in various physiological processes, making them attractive drug discovery targets. Meanwhile, deep learning techniques have revolutionized drug discovery by facilitating efficient tools for expediting the identification and optimization of ligands. However, existing models for the GPCRs often focus on single-target or a small subset of GPCRs or employ binary classification, constraining their applicability for high throughput virtual screening.
View Article and Find Full Text PDFDecision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.
Parasit Vectors
January 2025
Faculty of Information Technology, Mutah University, Mutah, Jordan.
Background: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples.
View Article and Find Full Text PDFAI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios.
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
Critical factors influencing live birth rates in fresh embryo transfer for IVF: insights from cluster ensemble algorithms.
Sci Rep
January 2025
Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China.
Infertility has emerged as a significant global health concern. Assisted reproductive technology (ART) assists numerous infertile couples in conceiving, yet some experience repeated, unsuccessful cycles. This study aims to identify the pivotal clinical factors influencing the success of fresh embryo transfer of in vitro fertilization (IVF).
View Article and Find Full Text PDFSteroid-resistant nephrotic syndrome due to renal-limited thrombotic microangiopathy and membranous nephropathy after allogeneic hematopoietic stem cell transplantation successfully treated with calcineurin inhibitors.
Int J Hematol
January 2025
Department of Hematology, Kobe City Medical Center General Hospital, 2-1-1, Minatojima-Minamimachi, Chuo-ku, Kobe, 650-0047, Japan.
Transplantation-associated thrombotic microangiopathy (TMA) is a severe complication of allogeneic hematopoietic stem cell transplantation (allo-HSCT) with high mortality. As calcineurin inhibitors (CNIs) reportedly contribute to TMA via drug-induced endothelial injury, treatment of TMA often involves CNI discontinuation or dose reduction. However, renal-limited TMA, defined as biopsy-proven renal TMA without the classical triad (hemolytic anemia, thrombocytopenia, and organ damage), has rarely been reported after allo-HSCT, and its optimal management remains unknown.
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