AI News, Artificial intelligence used to predict how cancers will evolve and spread

Artificial intelligence used to predict how cancers will evolve and spread

Scientists have used artificial intelligence to predict how cancerswill progress and evolve, which could help doctors design the most effective treatment for each patient.

For example, researchers found that breast tumours which had a sequence of errors in the genetic material that codes for the tumour-suppressing protein p53, followed by mutations in chromosome 8, survived less time than those with other similar trajectories of genetic changes.

Researchers used 768 tumour samples from 178 patients reported in previous studies for lung, breast, kidney and bowel cancer, and analysed the data within each cancer type respectively to accurately detect and compare changes in each tumour.

“By giving us a peek into the future, we could potentially use this AI tool to intervene at an earlier stage, predicting cancer’s next move.” ICR chief executive Professor Paul Workman said: “Cancer evolution is the biggest challenge we face in creating treatments that will work more effectively for patients.

Artificial intelligence used to predict how cancers will evolve and spread

Scientists have used artificial intelligence to predict how cancerswill progress and evolve, which could help doctors design the most effective treatment for each patient.

For example, researchers found that breast tumours which had a sequence of errors in the genetic material that codes for the tumour-suppressing protein p53, followed by mutations in chromosome 8, survived less time than those with other similar trajectories of genetic changes.

Researchers used 768 tumour samples from 178 patients reported in previous studies for lung, breast, kidney and bowel cancer, and analysed the data within each cancer type respectively to accurately detect and compare changes in each tumour.

“By giving us a peek into the future, we could potentially use this AI tool to intervene at an earlier stage, predicting cancer’s next move.” ICR chief executive Professor Paul Workman said: “Cancer evolution is the biggest challenge we face in creating treatments that will work more effectively for patients.

AI can predict how cancers will progress, scientists find 

The team developed a new machine learning technique which transfers knowledge about tumours across similar patients.

Researchers used 768 tumour samples from 178 patients reported in previous studies for lung, breast, kidney and bowel cancer, and analysed the data within each cancer type respectively to accurately detect and compare changes in each tumour.

Artificial intelligence used to predict cancer growth

For example, researchers found that breast tumours which had a sequence of errors in the genetic material that codes for the tumour-suppressing protein p53, followed by mutations in chromosome 8, survived less time than those with other similar trajectories of genetic changes.

Researchers used 768 tumour samples from 178 patients reported in previous studies for lung, breast, kidney and bowel cancer, and analysed the data within each cancer type respectively to accurately detect and compare changes in each tumour.

Dr Andrea Sottoriva, who led the study and is team leader in evolutionary genomics and modelling at the ICR, said: 'We've developed a powerful artificial intelligence tool which can make predictions about the future steps in the evolution of tumours based on certain patterns of mutation that have so far remained hidden within complex data sets.

'This new approach using AI could allow treatment to be personalised in a more detailed way and at an earlier stage than is currently possible, tailoring it to the characteristics of each individual tumour and to predictions of what that tumour will look like in the future.'

Artificial intelligence predicts cancer evolution

With this aim, a research team led by scientists at The Institute of Cancer Research (ICR) and the University of Edinburgh has used artificial intelligence to predict how cancers will progress and evolve – enabling doctors to personalize treatment at an earlier stage than is currently possible.

OAS_AD('Middle');“We’ve developed a powerful artificial intelligence tool that can make predictions about the future steps in the evolution of tumours based on certain patterns of mutation that have so far remained hidden within complex data sets,”

“With this tool, we hope to remove one of cancer’s trump cards – the fact that it evolves unpredictably, without us knowing what is going to happen next.” The researchers also found links between certain sequences of repeated tumour mutations and survival outcome.

For example, breast tumours with a sequence of errors in the genetic material that codes for the tumour-suppressing protein p53, followed by mutations in chromosome 8, survived less time than those with other similar trajectories of genetic changes.

PMI

Model could help doctors intervene earlier Artificial intelligence (AI) has been used by scientists to predict how cancers progress and evolve.

The team used 768 tumour samples from 178 patients reported in previous studies for lung, breast, kidney and bowel cancer, and analysed the data within each cancer type to accurately detect and compare changes in each tumour.

Dr Andrea Sottoriva, team leader in evolutionary genomics and modelling at the ICR, said: “With this tool we hope to remove one of cancer’s trump cards – the fact that it evolves unpredictably, without us knowing what is going to happen next.”

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