"AiCure is the only clinically-validated and scalable platform to confirm medication ingestion on mobile devices. Changing patient behavior and ensuring accurate data on a dose by dose basis has the potential to transform and streamline the clinical trial process," said Adam Hanina, CEO and Chairman of AiCure. "We are very grateful to the Scrip judges for recognizing our company as best in class."
In addition to AiCure's work in clinical research, the artificial intelligence company is also working in population health deployments to improve health outcomes in high-risk patient populations, where treatment completion and consistent adherence to therapy are critical to avoid costly hospitalizations, drug resistance, or increased transmission rates such as in stroke, tuberculosis, or hepatitis C (HCV). Unlike video-based recordings or live streamed systems that require 1:1 monitoring, the AI platform relies on a 1:many model, using software algorithms to automatically identify the patient, the medication, and medication ingestion. Real-time data, including side effects, are transferred to centralized dashboards for analysis.
AiCure is currently involved in collaborations to demonstrate treatment equivalence to in-person observation, such as with the Los Angeles County Department of Public Health Tuberculosis Control Program, who is utilizing AI to monitor adherence to treatment in patients with TB disease and latent TB infection.
The company is also working with pharmaceutical companies to replicate the same outcomes in real-world settings as were achieved during the clinical trial process, such as high efficacy rates and sustained viral response in HCV treatment. As payers move towards outcomes-based contracting models, solutions that are able to have an effect on outcomes will become increasingly valuable.
The opportunity size for AI in healthcare is estimated at $54 billion in terms of annual cost savings, spanning drug discovery and population health. While many companies are active in the medication adherence space with claims about changing patient behavior, few solutions are validated or show an effect on adherence or health outcomes. AiCure is building up an evidence base in both clinical research and clinical practice by validating the platform against drug concentration levels in the blood and showing a clear separation between patients monitored in real time by the platform and patients monitored by traditional measures such as pill counts, self-reported data, or treatment as usual.
AiCure is working with 5 of the top-10 global pharmaceutical companies, and in deployments across multiple therapeutic areas in conjunction with academic institutions and payers.
AiCure's artificial intelligence visually confirms medication ingestion on any smartphone. The clinically-validated platform enables continuous monitoring and intervention for greater statistical power and sample size reductions in clinical trials and improved health outcomes in population health. AiCure has developed an extensive intellectual property portfolio and has been funded by the National Institutes of Health and leading institutional investors. For more information, please visit www.aicure.com
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