Predictiv

Time between symptoms and death is short for high-risk COVID-19 patients. COVIDSniper helps doctors find the right treatment on the first try through a COVID-19 drug prescription decision support tool created from our patent-pending clinical decision support system.

COVIDSniper recommends the right treatment dosage, delivery method, most effective drug with the least adverse drug reaction, along with the most up-to-date medical research rationale. It does this by integrating a patient's genetics background, medical history and physical, blood test results (CBC), imaging & pathology results.

• Beta pilots
--- Launched Beta Clinical Decision Support system to primary care physicians that used it on 30 patients 
--- Partnered with Estonia Institute of Genomics to do a pilot and clinical trial
--- Partnered with UK Genomics England to access genetic data to run validation study

• In partnership discussions
--- American College of Private Physicians: the most prominent US concierge medicine association.
--- Lark Health: Personalized health and wellness platform with 1M customers
--- Johns Hopkins Sibley Hospital: Coordinating with Chief Medical Officer of Johns Hopkins Sibley Hospital for pilot study

• Patent filing:
--- Wilson Sonsini filed a provisional patent for ZtoMed’s bioinformatic pipeline and clinical decision support system

• Regulatory & Insurance
--- Confirmed that the CDS system does not need FDA approval to be sold to physicians since it does not diagnose but rather enhances physician decision process.  

High-risk COVID-19 patients get worse very quickly with an avg 19 days from first symptom till death. It is very important to get the first drug treatment prescription right. Unfortunately, doctors can not keep track of the vast amount of COVID-19 case studies, real world trial and error treatment, and all other relevant information.

Our tool solves information gaps. ZtoMed COVID-19 Prescription Support tool solution considers all patient information, uses a blood test and includes a genetic test/analysis to see underlying diseases and possible adverse drug reactions. The tests have a 24hr turnaround time. Then our algorithm recommends the best COVID treatment with consideration of the following: * All possible medications and treatments * All COVID-19 case studies * Academic peer-reviewed medical studies on COVID-19 * Each person's unique genetic background * Each person's current health state (H&P, imaging & pathology reports)

This is a new disease and everyone is figuring out how to combat COVID. We are not aware of anyone directly addressing COVID-19 through a prescription support tool.

We already developed "Personalized Genomics-based Prescription Support System" for 300+ drugs already. For COVIDSniper, we only need to consider about 30 drugs associated with COVID.

We plan to release COVIDSniper to Hospitals, Physicians, CDC, NGOs, ...

Money will be spent on fully developing COVIDSniper, technical modifications, and distributions.

Graduated from 1863 Ventures Emergetech accelerator.

We participated in Startupalooza with this COVIDSniper pitch & won the 2nd place at 4-16-2020.