Disease

Tamara Jamaspishvili

Jamaspishvili, Tamara

 1024 681 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: tamara.jamaspishvili@gmail.com
Role: Adjunct Assistant Professor
Affiliation: Queen’s University, Kingston
Website: https://oicr.on.ca/investigators/tamara-jamaspishvili/
Data to Share: prostate cancer images (H&E, IHC)
Area of Research: Developing quantitative approaches for biomarker characterization for genitourinary and other cancers. Highly experienced in digital pathology using machine learning to discover new patterns in cancer phenotypes that might lead to a better prediction of disease outcomes and/or response to treatment. Interested to develop novel ways of measuring tissue-based biomarkers using artificial intelligence to better stratify the patients for disease management in personalized medicine.

Ali Khan

Khan, Ali

 375 375 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: alik@robarts.ca
Role: PhD faculty
Affiliation: Western University & Robarts Research Institute
Website: http://www.khanlab.ca
Data to Share: Brain MRI, histology, ex vivo MRI
Area of Research: Computational neuroimaging

Mark Cicero

Cicero, Mark

 560 560 MaLMIC - Machine Learning in Medical Imaging Consortium

Email: mark@16bit.ai
Role: Industry
Affiliation: 16 Bit Inc.
Website: https://www.16bit.ai
Data to Share: x-rays, ultrasounds
Area of Research: AI for Osteoporosis and other clinically useful opportunistic screening applications, scaling AI into production, MLOPs