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Machine learning-enabled virtual screening indicates the anti-tuberculosis activity of aldoxorubicin and quarfloxin with verification by molecular docking, molecular dynamics simulations, and biological evaluations.
Brief Bioinform
November 2024
Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing 100020, China.
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat the spread of this global health burden more difficult. To accelerate anti-tuberculosis drug discovery, repurposing clinically approved or investigational drugs for the treatment of tuberculosis by computational methods has become an attractive strategy. In this study, we developed a virtual screening workflow that combines multiple machine learning and deep learning models, and 11 576 compounds extracted from the DrugBank database were screened against Mtb.
View Article and Find Full Text PDFHybrid Virtual Coaching and Telemonitoring in COPD Management: The CAir Randomised Controlled Study.
Int J Chron Obstruct Pulmon Dis
December 2024
Faculty of Medicine, University of Zurich, Zurich, Switzerland.
Objective: To investigate the effectiveness of 12-weeks hybrid virtual coaching on health-related quality-of-life (HrQoL) in patients with stable COPD.
Methods: We equipped all patients with a CAir Desk for telemonitoring, the intervention group additionally received hybrid virtual coaching through the built-in smartphone. The multimodal intervention based on the Living well with COPD programme, containing educational content, physical activity coaching, and home-based exercises.
Effectiveness and cost-effectiveness of a single home-based fall prevention program: a prospective observational study based on questionnaires and claims data.
BMC Geriatr
December 2024
ZHAW Zurich University of Applied Sciences, Winterthur Institute of Health Economics, Winterthur, Switzerland.
Background: Fall prevention programmes are essential interventions in societies with aging populations. This study assessed the fall rate and other health outcomes, as well as the cost-effectiveness of a home-based fall prevention programme for community-dwelling older people. In a single home visit, trained physical or occupational therapists performed fall risk assessments, eliminated environmental risk factors, and provided tailored exercises.
View Article and Find Full Text PDFA descriptive summary of the WHO availability assessments of medical abortion medicines in eight African countries.
Reprod Health
December 2024
UNDP‑UNFPA‑UNICEF‑WHO‑World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, 20 Avenue Appia, 1211, Geneva, Switzerland.
Background: The use of medical abortion using either a combination of mifepristone and misoprostol, or misoprostol alone has contributed to increased safety and decreased mortality and morbidity. The availability of quality medical abortion medicines is an essential component in the provision of quality abortion care. Understanding the factors that influence the availability of medical abortion medicines is important to help in-country policymakers, program planners, and providers improve availability and use of medical abortion.
View Article and Find Full Text PDFCross-species regulatory network analysis identifies FOXO1 as a driver of ovarian follicular recruitment.
Sci Rep
December 2024
Departments of Animal and Food Sciences, Biological Sciences, Medical and Molecular Sciences, and Microbiology Graduate Program, University of Delaware, Newark, DE, USA.
The transcriptional regulation of gene expression in the latter stages of follicular development in laying hen ovarian follicles is not well understood. Although differentially expressed genes (DEGs) have been identified in pre-recruitment and pre-ovulatory stages, the master regulators driving these DEGs remain unknown. This study addresses this knowledge gap by utilizing Master Regulator Analysis (MRA) combined with the Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) for the first time in laying hen research to identify master regulators that are controlling DEGs in pre-recruitment and pre-ovulatory phases.
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