KS
Kristina Stepanic
Developer at A.I. Vali
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Work Experience
Developer
Jun 2021 - Present · 3 years and 6 months
McMaster University
Jan 2020 - Apr 2021 · 1 years and 3 months
Course Developer & Instructional Assistant
May 2019 - Apr 2021 · 1 years and 11 months
Research Assistant
Jan 2020 - Apr 2020 · 3 months
Company Details
2-10 Employees
A.I. VALI uses proprietary Machine Learning (ML) and Deep Learning (DL) techniques to analyze the data collected from medical images, such as endoscopy video images and tissue biopsies. Our modular A.I. tools empower our clients with accurate, reproducible and affordable platforms at a global level. These platforms have a critical impact in the early detection of cancer in order to provide the best personalized treatment model for each patient. A.I. VALI offers services in research and development, analytical validation, optimization, and validation for regulatory submissions. These services can be utilized by our clients and incorporated into the early stages of drug development through clinical trials and validation of biomarkers, or companion diagnostics (CDx), by providing precise interpretation of information on cell functioning, as well as the structure of critical proteins and biomarkers. Our extensible data science environment and toolkit was built to serve as an architectural framework and community platform for developing and distributing reusable data visualization modules and reusable multi-modality data integration pipelines. Our innovative system allows our team to develop the algorithms, validate them properly, and either commercialize them directly, or support our clients in their efforts to commercialize these products. We are eager to collaborate with researchers and clinical scientists in all medical imaging fields. If you are interested in learning more about how A.I. VALI can help develop or provide a solution for your project, please get in touch with us!
Year Founded
2017
Social Media
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Industry
Medical Device
HQ Location
Toronto, Ontario, CA
Keywords
Deep Learning and Image Mass Cytometry
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