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Machine learning assisted classification RASAR modeling for the nephrotoxicity potential of a curated set of orally active drugs.
Sci Rep
January 2025
Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700 032, India.
We have adopted the classification Read-Across Structure-Activity Relationship (c-RASAR) approach in the present study for machine-learning (ML)-based model development from a recently reported curated dataset of nephrotoxicity potential of orally active drugs. We initially developed ML models using nine different algorithms separately on topological descriptors (referred to as simply "descriptors" in the subsequent sections of the manuscript) and MACCS fingerprints (referred to as "fingerprints" in the subsequent sections of the manuscript), thus generating 18 different ML QSAR models. Using the chemical spaces defined by the modeling descriptors and fingerprints, the similarity and error-based RASAR descriptors were computed, and the most discriminating RASAR descriptors were used to develop another set of 18 different ML c-RASAR models.
View Article and Find Full Text PDFIndividual Rumination in Adult Cancer Care: A Concept Analysis.
Semin Oncol Nurs
January 2025
School of Nursing, Midwifery and Health Systems, University College Dublin (UCD), Dublin, Ireland.
Objective: To conceptualize rumination in adult cancer care.
Methods: Walker and Avant's concept analysis method was used to examine rumination in adults with cancer. A systematic search was conducted across psychology, nursing, medicine, and public health disciplines in PsycINFO, PubMed, Web of Science, CINAHL, and Scopus databases from their inception to April 2024.
Reconceptualizing Disorders of the Self as Disorders of Relationship.
Arch Phys Med Rehabil
January 2025
Objective: To validate a universal neuropsychological model that suggests that disorders of the self are best conceptualized as disintegrated neuropsychological processes (i.e., sensations, mental experiences) that lack a sense of relationship to the unified experience/sense of self.
View Article and Find Full Text PDFPredictors of self-reported hypertension among women of reproductive age in North Dakota.
BMC Public Health
January 2025
Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA.
Background: Understanding the risk factors of hypertension among women of reproductive age (18-44 years) is important for guiding health programs aimed at reducing the burden of hypertensive disorders in this population. Therefore, the objective of this study was to investigate predictors of self-reported hypertension among women of reproductive age in North Dakota.
Methods: Behavioral Risk Factor Surveillance System data for the years 2017, 2019, and 2021 were obtained from North Dakota Department of Health and Human Services.
Home Urine Dipstick Screening for Bladder and Kidney Cancer in High-Risk Populations in England: A Microsimulation Study of Long-Term Impact and Cost-Effectiveness.
Pharmacoeconomics
January 2025
Sheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, UK.
Background: Testing high-risk populations for non-visible haematuria may enable earlier detection of bladder cancer, potentially decreasing mortality. This research aimed to assess the cost-effectiveness of urine dipstick screening for bladder cancer in high-risk populations in England.
Methods: A microsimulation model developed in R software was calibrated to national incidence data by age, sex and stage, and validated against mortality data.
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