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BayBiotech.NET Mobile Health App Interactive Tool If you are developing a mobile health app checkout the interactive tool  to figure out the federal regulatory, privacy and security laws that may apply to your App.  More than regulations might be applicable depending on the scope but this website links all relevant regulations on FTC website. Link:  https://www.ftc.gov/business-guidance/resources/mobile-health-apps-interactive-tool
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BayBiotech.NET International Compilation of Human Research Standards 2024 Edition is shared as a reference document that elaborates the guidelines that protects research participants in over 130 countries globally. This information is compiled by Office for Human Research Protections (OHRP), Office of the Assistant Secretary for Health (OASH) and U.S. Department of Health and Human Services (HHS).  Link: https://www.hhs.gov/sites/default/files/ohrp-international-compilation-human-research-standards-2024.pdf
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BayBiotech.NET Swift adoption of DCTs (decentralized clinical trials): a side effect of COVID-19 pandemic https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093545/pdf/main.pdf
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BayBiotech.NET Interoperability is path to optimizing digital medicine In order to use big data, artificial intelligence to its full potential, interoperability is the key to success, although the concept compromises data privacy and might lead to challenges. Cures act and Health Interoperability supports evaluation of IT systems and build core capabilities to begin sharing data via APIs (application programming interfaces). 
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BayBiotech.NET When it comes to utilizing Artificial intelligence in healthcare, responsibilities and accountability is higher since human lives are at stake. Digitalization and application of artificial intelligence in the development of medicine is rapidly evolving and for the better to minimize the time and cost it takes to bring a medicine in the market. while application of artificial intelligence in biomedicine is evolving, so are the regulations around system securities, data protection and mapping cultural and geographical diversities. It would need the expertise both from the field of medicine development who have enormous experience working in the field for years and from the computational background of people who could leverage the expertise to apply and develop meaningful algorithms to make use of artificial intelligence in digital health. A good read is available on this link !
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