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Pan-Cancer Project

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TechnologyDiagnosis

AI algorithm classifies cancer types better than experts

Gurnit Atwal and Wei Jiao Pan-Cancer Project researchers develop deep learning system that can determine where a cancer originates with better accuracy than human experts If doctors know where a patient’s cancer started, they can…
Article
CollaborationMultiple cancers

Dr. Lincoln Stein talks about the Pan-Cancer Project

An overview of the Pan-Cancer Project with Dr. Lincoln Stein. Watch more Pan-Cancer Project videos Why is the Pan-Cancer project so important?What did the Pan-Cancer project find? Related links Unprecedented exploration generates most comprehensive map…
Article
TechnologyMultiple cancers

Finding the roots of cancer, ‘It’s a needle in a haystack’

Dr. Shimin Shuai OICR’s Dr. Shimin Shuai and Pan-Cancer Project collaborators identify new cancer-causing mutations in the non-coding region of the cancer genome Cancer begins with a ‘driver’ mutation – a DNA abnormality that may…
Article
TechnologyMultiple cancers

TrackSig: Unlocking the history of cancer

Yulia Rubanova Toronto-based machine learning experts map the changes that lead to cancer, revealing opportunities for earlier diagnosis and new approaches to outmaneuver the disease A tumour is often made up of different cells, some…
Article
TechnologyMultiple cancers

Unraveling the story behind the cancers we can’t explain

Dr. Philip Awadalla The Pan-Cancer Analysis of Whole Genomes Project has shown that despite cancer’s complexities, researchers are close to cataloguing all of the biological mechanisms that lead to the disease. Today, Nature released a…
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