Business
Diamond Lake Minerals Changes Business Model by Partnering with new Telemedicine Innovator Medflow With Option for Full Merger
Diamond Lake Minerals Changes Business Model by Partnering with new Telemedicine Innovator Medflow With Option for Full Merger.
About this update from Diamond Lake Minerals, Inc.
[{"type":"text","content":"Diamond Lake Minerals, Inc. (OTC: DLMI) (the \"Company\" or \"DLMI\"), announced today that it has entered into a Joint Venture agreement with Medflow, Inc., a technology company that combines state-of-the-art computer vision in a telemedicine suite for security, vitals and biometrics capture, and HIPAA compliant video conference features; with the ultimate goal of a full reverse merger into DLMI. As part of the definitive agreement, DLMI has been granted exclusive licensing rights to worldwide marketing and distribution of Medflow’s Telemedicine. DLMI hopes to then raise development capital alongside Medflow for a strategic and accelerated go-to-market path.“I have dealt with many health and technology companies, including a telehealth network provider recently. This opportunity to combine DLMI shareholders with one of the most cutting-edge telehealth, ‘know your patient’ technology solution, provides DLMI shareholders a renewed equity growth opportunity,” according to William Michael Reynolds, Chairman and CEO of Diamond Lake Minerals, Inc. “We are excited that this disruptive technology is more relevant than ever in the post COVID era where telemedicine is now a viable option. We believe Medflow will be an integral part of future telemedicine security and biometric authentication.”Medflow is a company coming out of 2 years of R&D in AI computer vision development for facial recognition biometrics, liveness detection, and other security-related features resulting in industry-leading benchmarks like 100ms facematch that is highly accurate and focused on overcoming computer vision bias against darker ethnic faces. According to the National Institute of Standards and Technology, facial recognition technologies falsely identified Black and Asian faces 10 to 100 times more often than they did white faces. The technologies also falsely identified women more than they did men—making Black women particularly vulnerable to algorithmic bias (Rauenzahn, 2021). The innovators behind Medflow trained their models to achieve 99.8% accuracy in extremely complex and typically hard to identify faces of color. This is combined with computer vision features to detect heart rate, stress indicators, breathing, and many other health markers without the assistance of hardware monitoring devices, with a mean accuracy and precision of 95% CI o...