Artificial Intelligence for Social Welfare Research Lab 

Oz Seadia is a researcher with a vast background in the fields of systems architecture, Physics, machine learning and computer vision algorithms.

He is an entrepreneur with more than 15 years of experience in leading R&D in the medical-devices field.

He had led the development of multi-disciplinary systems like early detection cervical cancer system (BiopMedical Ltd), contactless surveillance system designed to detect early developing asymptomatic vascular stenosis in hemodialysis patients (Patensee Ltd) and continues non-invasive monitoring unique ultrasound system for automatic Cardiac outcome performance (Orcasonics Innovation Ltd.).

Oz is also M.Sc Projects mentor in system engineering department at Afeka College of Engineering

Oz holds a B.Sc in physics from Tel Aviv University and M.Sc in system engineering from Afeka College of Engineering.

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Seadia O, Landesman-Milo D, Kosoburd T, Oren N, Sherman L, Yaniv A, Landesman I. Combined reflectance spectroscopy and coherent light backscattering measurement differentiate cervical cancer from normal epithelial tissue in a xenograft mouse model. Applied optics. 2018 Oct 20;57(30):8964-70. https://doi.org/10.1364/AO.57.008964

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Eitan R, Krissi H, Peled Y, Braslavsky D, Binyamin L, Peretz-Davidi Y, Seadia O, Landesman I. The use of a novel optical algorithm in the diagnosis of cervical pre-invasive pathology-a preliminary proof of principal study. Gynecologic and obstetric investigation. 2016;81(6):523-8. doi: 10.1159/000444584

 

Gordon S, Seadia O, Levi E, Landesman I. A novel multimodal optical imaging device for cervical cancer screening and diagnosis. InDiseases in the Breast and Reproductive System V 2019 Feb 26 (Vol. 10856, pp. 38-46). SPIE.. doi: 10.1117/12.2508338