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AI based COVID testing platform
Fully AI based image recognition of variety of Rapid Antibody and Antigen and PCR tests from Roche, Abbott, SD Biosensor and SensingSelf which are are top providers of the testing solutions.
Also, integrated national pulse dashboard to evaluate, project and isolate high risk areas in terms of clustering and identifying pooling sites.
Platform is based on Mobile phone iOS and Android app.
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edited on Nov 19, 2020 by
keyur Patel
What's meant by pooling sites? Are you trying to identify where pooled COVID testing might be performed? If so, surveillance, diagnostic or screening pooled testing? How will the pooling aspect change when disease prevalence changes in a population?
How will pre-analytical, analytical and post-analytical laboratory testing aspects play into your approach, as well as CLIA/state laboratory regulations? see https://www.ecfr.gov/cgi-bin/text-idx?SID=124...e42.5.493_11291
Also interested in how HHS COVID reporting requirements would work with the model (AOEs, UDI info, etc.) ? Assuming LOINC, SCT and other maps will be used behind the scenes? Who's the audience for this platform (individual patients with the apps or performers of the testing with the kits in the first paragraph or downstream agencies with the dashboard?)
Trying to understand if there are preconditions met by other software. (In general) 1. How to collect AOEs, from ordering provider/patient/specimen collector 2. Integrate into app/LIS or other information source for patient to be married to results of IVD test device/system 3. All transmitted to public health (ELR) 4. All transmitted to HHS (may be met by 3).
Will your approach support all 4 or only portions of above? Looks like your steps 0-9 mostly meet #1 above. #2 above appears to be mostly met with steps 13-14, but unclear how terminology maps are applied to results and result values? Unclear how #3 and #4 above are met in the app, but further downstream data appears in the analytics provided.
Also see our S4 Multi virus testing also supported on same platform for collection of disease detection data and results. We anticipate more testing platforms will be emerging in coming times to expand beyond COVID.
Dear Folks, Total Samples uploaded for Machine Learning crossed 45 million datasets today. Total predictive models created at 1.2 billion sets. On track to add another 20 million datasets by Dec.2020
Also, integrated national pulse dashboard to evaluate, project and isolate high risk areas in terms of clustering and identifying pooling sites.
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Also, integrated national pulse dashboard to evaluate, project and isolate high risk areas in terms of clustering and identifying pooling sites.
mobile diesel mechanic