Biotech commercialization should be treated as an engineering discipline
Published in Journal of Diabetes Science and Technology. DOI 10.1177/19322968261480134.
7 of 113 works · Research paper.
Published in Journal of Diabetes Science and Technology. DOI 10.1177/19322968261480134.
Journal of Translational Medicine. Artificial Intelligence (AI) has the potential to impact healthcare across multiple domains. In diabetes, a complex chronic disease affecting 600 million people globally, AI is already being used from primary care to tertiary specialist care to reduce patient and clinician burden. However, for medical AI to be widely implemented and applied specifically to diabetes, such stakeholders as patients, clinicians, healthcare administrators, regulators, and AI developers will need to establish trust in this technology.
Journal of Diabetes Science and Technology. Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. This article focuses on this practice, which is fully aligned with the NIH's Gold Standard Science (GSS) program as well as FAIR (findable, accessible, interoperable, reusable) and TRUST (transparency, responsibility, user focus, sustainability, technology) principles.
Journal of Diabetes Science and Technology. New methods of continuous glucose monitoring (CGM) data analysis are emerging that are valuable for interpreting CGM patterns and underlying metabolic physiology. These new methods use functional data analysis and artificial intelligence (AI), including machine learning (ML).
Journal of Diabetes Science and Technology. The Diabetes Research Hub (DRH) is a centralized data management system and repository that will revolutionize how diabetes data are gathered, stored, analyzed, and utilized for research. By harnessing advanced analytics for large datasets, the DRH will support a nuanced understanding of physiological patterns and treatment effectiveness, ultimately advancing diabetes management and patient outcomes.
Published in Journal of Diabetes Science and Technology. DOI 10.1177/19322968221119146.
Journal of Diabetes Science and Technology. The first meeting of the Integration of Continuous Glucose Monitor Data into the Electronic Health Record (iCoDE) project, organized by Diabetes Technology Society, took place virtually on January 27, 2022. Clinicians, government officials, data aggregators, attorneys, and standards experts spoke in panels and breakout groups.
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