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Deep Learning and Artificial Intelligence in Pathology

VCCC Alliance Grand Round Breast Cancer with Professor Gelareh Farshid

The convergence of modern artificial intelligence with the emergence of digital pathology is yielding advances in medical image recognition. Research, diagnostic and commercial opportunities are being realised, including in breast pathology. These innovations will influence the practice of pathology in fundamental ways.

Learn how machine learning applications can offer improved patient care and more efficient laboratory systems - although many challenges remain along this path.

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Professor Gelareh Farshid 

Professor Gelareh Farshid is an international expert in breast and soft tissue pathology with substantial experience in population-based screening for breast cancer. She is a senior Consultant Pathologist at SA Pathology at the Royal Adelaide Hospital and Clinical Professor in the Schools of Medicine and Medical Sciences at the University of Adelaide. She serves on the executive boards of several professional societies and is a member of the PathWest Board of Directors.

The VCCC Alliance Research and Education (R&E Lead) Breast Cancer program has developed a learning environment where researchers and clinical care teams can share information to improve cancer outcomes.

The VCCC Alliance Breast Cancer Grand Round aims to provide a shared view of what is happening in the development of breast cancer care and is helping to stimulate discussion and collaborations among experienced and novice researchers and clinicians.

For further information on the program, please contact Jasper de Boer, VCCC Alliance Program Manager, Distributed Leadership [email protected] 

Wednesday 18 May
12.30-1.30pm

This virtual event will be hosted via Zoom. Zoom is accessible on your computer, tablet or phone via the Zoom app. If you have any issues with this platform on your device, please visit the Zoom support site. Alternatively please contact your IT administrator.

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