In this post we will look at some of the themes that emerged from an analysis of the biomedical blockchain database. First some quick stats:
There is tremendous interest and opportunity to apply blockchain technologies to problems in biology, medicine and health. At HD2i we are following this trend closely, but it has been hard to keep up with the pace of new project announcements! That is why we are publicly releasing our internal database of biomedical initiatives built on blockchain technology; as a resource for the biomedical blockchain community to map the landscape of tools and use cases.
For the past several months, we’ve been working with Fit3D to create a cardiovascular risk score based on anthropomorphic measurements (waist-hip ratio, thigh circumference, torso-to-leg volume ratios, etc.) obtained from Fit3D scans. Our overall goal was to produce a single score that (a) was easy to interpret, (b) was backed by the scientific literature, and (c) was composed of simpler disease-specific scores so users could see exactly where their risks were coming from and feel motivated to improve. The project has been interesting and challenging from several angles, so I’m including some technical details about our process and calculations in this post.
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