This study identified fundraising campaigns for unsubstantiated treatments, such as homeopathic remedies for cancer and antibiotic therapy for chronic Lyme disease, on GoFundMe and other crowdfunding platforms.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233813 | PMC |
http://dx.doi.org/10.1001/jama.2018.10264 | DOI Listing |
Background: Use of online crowdfunding to mitigate health-related cost burden is common in the US, but its usage among candidates for metabolic and bariatric surgery (MBS) is unknown. We aimed to identify GoFundMe campaigns fundraising for MBS and characterize sources of financial strain. We also aimed to determine factors associated with successful crowdfunding.
View Article and Find Full Text PDFBMJ Open
November 2024
Department of Clinical Neurosciences, University of Calgary, Cumming School of Medicine, Calgary, Alberta, Canada.
Background: Ideally, medical research provides crucial data about disease processes, diagnoses, prognoses, treatment targets and outcomes, and systems of care. However, medical research is costly, and funding is difficult to receive because the processes are highly competitive. There is a paucity of data on the perspectives of researchers, funders, patients and the public about current funding paradigms.
View Article and Find Full Text PDFJ Med Internet Res
November 2024
School of Economics and Management, East China Normal University, Shanghai, China.
Background: As crowdfunding sites proliferate, visual content often serves as the initial bridge connecting a project to its potential backers, underscoring the importance of image selection in effectively engaging an audience.
Objective: This paper aims to explore the relationship between images and crowdfunding success in cancer-related crowdfunding projects.
Methods: We used the Alibaba Cloud platform to detect individual features in images.
Nucleic Acids Res
January 2025
College of Life Sciences, Hebei University, Baoding 071002, China.
Drug resistance is a principal limiting factor in cancer treatment. CTR-DB, the Cancer Treatment Response gene signature DataBase, is the first data resource for clinical transcriptomes with cancer treatment response, and meanwhile supports various data analysis functions, providing insights into the molecular determinants of drug resistance. Here we proposed an upgraded version, CTR-DB 2.
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