Here’s how artificial intelligence can help predict breast cancer risk

The collaboration between human expertise and complex algorithms is vital to help accelerate the pace of progress such as novel therapeutics, more tolerable treatments and better outcomes for patients. Photo: Pexels

(Jennifer Kite-Powell/ Forbes) — For Dr. Denis Lacombe, CEO of the European Organisation Research Treatment Cancer (EORTC) to fight cancer you need big data.

“Cancer is notoriously complex,” said Lacombe. “Not only is it more than 200 separate diseases, but it can express itself differently in each person and at each stage of its progression.”

Lacombe belives that for patients, big data and machine learning can transform cancer, reducing uncertainty and truly personalising treatment and care, as opposed to a one size fits all approach. 

“Finding the most tailored treatment for a person – the one that is going to have the best results – requires researchers to be precise and targeted,” said Lacombe. “Clinical research needs to bring robust evidence across all these different datasets to change practice.” (…)

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