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Shalev Lifshitz - 2020 Newsletter


Shalev Lifshitz - Newsletter

October 19 · Issue #10 · View online

AI Researcher & Entrepreneur

18 years old, Canadian, and striving to develop the future of technology.
With a passion for Artificial Intelligence and entrepreneurship, I am inventing new image search techniques to improve cancer diagnosis at the University of Waterloo while improving surgical navigation with Machine Learning at Claronav, a surgical navigation company in Toronto.
I also recently published a paper with the University of Waterloo which attempts to create an Artificial Neural Network that is a more realistic abstraction of the human brain–furthering the AI community’s efforts in reaching human-level artificial intelligence (published paper).
My goal is to spark the next wave of human innovation and help humanity along the road to a new evolutionary step.

Improving Surgical Navigation with AI at Claronav
For the past year, I have been working with Claronav, a surgical navigation company in Toronto, to improve surgical navigation with AI by creating algorithms that can automatically detect structures in a patient’s CT scans. These detections help the surgical navigation software build a ‘virtual model’ of the patient that is used during surgery.
So, instead of having a surgeon spend their valuable time looking through and annotating a patient’s scans, I teach machines to understand these scans all on their own. This work has been very fun and rewarding! When I began, there were just CT scans. Now, there is an intelligent machine that has learned to understand this highly complex data in less than a second!
Special thank you to Doron Dekel and Ingmar Bitter for all of your help and guidance!
Histopathology Image Search for Cancer Diagnosis
Last summer, I began creating a new histopathology image search algorithm to speed up and improve the diagnosis of cancer and other diseases. I’ve been performing this research at the University of Waterloo KIMIA Lab (a global leader in histopathology image search) and am finalizing the research paper now!
Why is this important? When diagnosing a patient, pathologists often search through many past cases and check for similarities to the current patient. However, this process is extremely time-consuming and unreasonable when looking at thousands of past cases.
In my research, I propose a new histopathology image search algorithm that allows pathologists to search through thousands of past scans and find the most similar cases in only a few seconds.
Thank you Prof. Hamid Tizhoosh for your amazing guidance and support!
A New Journey at the University of Toronto
I have finally finished high school and am beginning my new journey at the University of Toronto! With a focus on Computer Science, I am also planning to dive deep into Mathematics, Psychology, Quantum Mechanics, Relativity, and more!
I would also love to hear about any courses or topics that you enjoyed and would recommend. So, please let me know!
Let's Connect!
Feel free to connect with and follow me on LinkedIn!
Check out my website for more info.
Email me at
My Favorite Quote:
“The most valuable thing a teacher can impart to children is not knowledge and understanding per se but a longing for knowledge and understanding, and an appreciation for intellectual values, whether they be artistic, scientific, or moral.”
Albert Einstein, 1934
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