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Background: Esophageal and gastric cancer were among the top 10 most common cancers worldwide. In addition, sex-specific differences were observed in the incidence. Due to their anatomic proximity, the 2 cancers have both different but also shared risk factors and epidemiological features.
View Article and Find Full Text PDFDevelopment and experimental validation of a machine learning model for the prediction of new antimalarials.
BMC Chem
January 2025
Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Vidya Vihar, Pilani, Rajasthan, 333 031, India.
A large set of antimalarial molecules (N ~ 15k) was employed from ChEMBL to build a robust random forest (RF) model for the prediction of antiplasmodial activity. Rather than depending on high throughput screening (HTS) data, molecules tested at multiple doses against blood stages of Plasmodium falciparum were used for model development. The open-access and code-free KNIME platform was used to develop a workflow to train the model on 80% of data (N ~ 12k).
View Article and Find Full Text PDFReproductive health literacy scale: a tool to measure the effectiveness of health literacy training.
Reprod Health
January 2025
Department of Obstetrics and Gynecology, School of Medicine, University of California Irvine, Irvine, CA, USA.
Background: Refugee women's reproductive health (RH) outcomes have been impacted by several factors, including experiencing war, lack of access to healthcare, and possible gender-based violence. After resettlement, low health literacy, financial difficulties, cultural and linguistic barriers, and unfamiliarity with the healthcare system also add to the preexisting barriers. Although several efforts have focused on health education and improving health literacy among refugee women, there has not been a validated tool to measure the effectiveness of these trainings and their possible impact.
View Article and Find Full Text PDFMotor modules are largely unaffected by pathological walking biomechanics: a simulation study.
J Neuroeng Rehabil
January 2025
Department of Mechanical and Aerospace Engineering, University of Florida, PO Box 116250, Gainesville, FL, 32611, USA.
Background: Motor module (a.k.a.
View Article and Find Full Text PDFGenetic diversity of the immunoglobulin heavy chain locus in cohorts of patients affected with SARS-CoV-2.
Hum Genomics
January 2025
Department of Biology, Tor Vergata University of Rome, Via della Ricerca Scientifica 1, 00133, Rome, Italy.
Background: The Immunoglobulin Heavy Chain (IGH) genomic region is responsible for the production of circulating antibodies and warrants careful investigation for its association with COVID-19 characteristics. Multiple allelic variants within and across different IGH gene segments form a limited set of haplotypes. Previous studies have shown associations between some of these haplotypes and clinical outcomes of COVID-19.
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