Dr. James Wilson is a board-certified, practicing pediatrician who specializes in operational health security intelligence, with a focus on the anticipation, detection, and warning of infectious disease crises. He has led the creation of several systems used for the anticipation and detection of infectious disease crises and disasters.
Dr. Wilson was the first operations chief of the Department of Homeland Security’s National Biosurveillance Integration Center. He led the private intelligence teams that provided tracking of H5N1 avian influenza as it spread from Asia to Europe and Africa, detection of vaccine drifted H3N2 influenza in 2007, warning of the 2009 H1N1 influenza pandemic, discovery of the United Nations as the source of the 2010 cholera disaster in Haiti, and warning of the current COVID-19 pandemic with ongoing emergency response support.
Dr. Wilson has also several investigations and live warning of alleged and confirmed laboratory accidents and biological weapon deployments. He was Guest Editor of the recent Special Issue on Health Security Intelligence in Intelligence and National Security Journal and was Co-Founder of the Global Health Security Alliance. M2 Medical Intelligence, Inc. has 25 years of health security warning intelligence experience.
David earned his master's degree in Economics from UNR (2014) and has been working in start-up business development since 2012 (DxDiscovery 2012, Strykagen co-founder 2013). These companies stem out of technologies developed by UNR medical school professors which Maine assisted in developing successful business models from concept to practice. Maine has overseen the financing, business development, and early stage research and development of a vast array of diagnostic and therapeutic opportunities for DxDiscovery and Strykagen respectively earning $6.1M and $1.1M to date.
Maine has an intimate familiarity with early stage business development, developing and implementing SBIR/STTR awards, government contracting and accounting systems, and establishing relations and securing investments with pharmaceutical partners. Recently (2017), Maine has taken his passion for startup development and experience and applied it as an instructor of entrepreneurship at TMCC community college.
Saul is machine learning and UX technologist. He received his B.S. and M.S. and Ph.D. degrees from the University of Nevada, Reno. in the Department of Computer Science and Engineering at UNR with an emphasis on Machine Learning and Software Engineering.
Utilizing the latest advances as well as a culmination of technologies, Saul architected the web services and proprietary tools used in the consumption of M2 Medical Intelligence's exposed interfaces and systems. As such, these robust systems are able to digest structured data, ensuring accurate and detailed analyses.
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Praedico-AMS™ manages complex data to produce easy to understand outputs, resulting in cost-effective improvements in patient outcomes and prevents the spread of antibiotic resistance.
Analyzing complex antibiotic resistance data
Praedico-AMS™ is a proven system that predicts changes and progression of antibiotic resistance patterns and thus prevents treatment complications and unnecessary escalation in cost of care. Healthcare providers need awareness for when they are losing effectiveness of an antibiotic due to changes in resistance patterns and if their prescribing habits directly contribute to the worsening resistance.
Uncontrolled antibiotic resistance increases risk for treatment failure and complications for the patient. Complications for the patient may mean the difference between hundreds of dollars to hundreds of thousands of dollars in cost of care.
Praedico-AMS enables a healthcare facility to anticipate rapid changes in antibiotic resistance patterns. These changes may be due to exotic introduction of a new type of resistant bacteria to the community or spontaneous development of new resistance.
Healthcare providers are often unaware of rapid changes in resistance and potentially, their own prescribing behavior may be promoting increased resistance. Praedico-AMS enables healthcare facilities to anticipate and act before significant impact is observed.
Capture facility metrics for federal and accreditation reporting, promote the highest standard of care while reducing healthcare costs for facilities and patients, reducing hospital stays and admission rates, and improving recovery times.
Our system provides detailed insight into understanding antimicrobial trends within communities. Users become aware of best practices when prescribing high priority treatments. Receive direct confirmation regarding their facilities or individual oversight on a quarterly basis.
Complex data, visualized
State of the art collaborative analytics to solve complex decision making in a healthcare setting.