Gregory Czarnota

Researcher

Sunnybrook Health Sciences Centre

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Press Release|November 29, 2022

Five outstanding research teams share $22.4 million in funding of two new and three renewal Terry Fox New Frontiers Program Project Grants in 2022 competition

Five Canadian cancer research teams will share $22.4 million to expand their research into key areas of cancer treatment after winning the 2022 Terry ...

Research Highlight|December 08, 2020

Team turns to machine learning to predict patient response to therapy, accelerate precision medicine

Dr. Gregory Czarnota and his Terry Fox team are amongst a number of pioneering researchers using machine learning to analyze images of tumours. In doi...

Research Highlight|May 27, 2020

New study suggests MRI images can predict how patients with brain metastasis will respond to radiotherapy

Quantitative biomarkers derived from conventional MRI in conjunction with machine learning techniques can, potentially, be used to predict outcomes fo...

Research Highlight|October 04, 2019

Artificial intelligence helps researchers predict if breast cancer patients will respond to chemotherapy before treatment is administered

A team of TFRI-funded researchers based out of the Sunnybrook Research Institute in Toronto has devised a new technique that could determine if patien...

Research Highlight|January 15, 2019

CEST MRI may be able to measure patient response to chemotherapy within 24 hours after first dosage

TFRI researchers at Sunnybrook Hospital have found that CEST MRI technology can be used to detect cancer cell death in mice within 24 hours of receivi...

TFRI News|June 05, 2018

Three top Canadian research teams receive $13 million to solve key cancer challenges

Three outstanding cancer research teams will receive nearly $13 million to continue their investigations into rare tumours, an inherited disorder (Li-...

Research Highlight|February 15, 2018

Ultrasound-stimulated microbubbles enhance radiation effect on prostate cancer cells

What if there was a way to make cancer cells more susceptible to radiation therapy without damaging healthy cells? New findings from Toronto researche...

Research Highlight|September 06, 2017

Study finds diffuse optical spectroscopic (DOS) texture features can predict breast cancer response prior to neoadjuvant chemotherapy

Diffuse optical spectroscopic texture features can predict breast cancer response to neoadjuvant chemotherapy in locally advanced breast cancer patien...

Research Highlight|September 29, 2016

Ultrasound, imaging effective tools to monitor treatment response

Terry Fox-funded researchers have made a critical finding in monitoring breast cancer patient response to chemotherapy treatment: patient response to ...

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