Oncoustics AI
Mohamed Elshawaf is a seasoned software engineer with a focus on mobile and AI solutions. Currently serving as the Lead Software Engineer at Oncoustics since August 2018, Mohamed has been instrumental in developing AI technologies that enhance Point of Care Ultrasound devices for efficient disease diagnosis and monitoring. Previous experience includes roles as Senior Mobile Software Engineer at Shahry, where contributions included innovative fintech features, and Lead Mobile Software Engineer at Hakbah, focusing on product roadmaps and resolving engineering challenges. Additional roles encompassed Senior Mobile Developer at Waqood Tech and SdotMedia, and co-founder of Noqwerty, demonstrating a strong background in mobile application development. Mohamed holds a Bachelor's Degree in Computer Science from the Faculty of Computers and Information Science.
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Oncoustics AI
Oncoustics is creating and deploying advanced AI solutions for low cost, non-invasive surveillance, diagnostics, and treatment monitoring of diseases with high unmet clinical need. Unlike other players in the space, Oncoustics does not do image recognition. Instead, Oncoustics applies AI to raw ultrasound signals from readily available handheldultrasound devices to rapidly differentiate healthy versus diseased tissues. There's a wealth of information in these raw signals and this approach reveals novel biomarkers that can be aligned with existing standards and categorization systems. Initially targeting liver disease, a $30B global diagnostic market, Oncoustics has filed a Breakthrough Device Designation Request with the FDA for the OnX that detects liver fibrosis and the 510K is underway. Several follow-on liver products are in development. Oncoustics also has clinical data on other organ indications including prostate, kidney, breast and thyroid diseases and cancers.