The research team, led by scientists at the University of Montana, has focused on searching for vulnerabilities in lung cancer cells with innovative technologies.
The team used AI tools to improve their understanding of how protein groups in lung cancer cells regulate cell division and metabolism, with a view to develop better therapies to treat the disease.
“We examined how cells respond to anti-cancer drugs used to treat lung cancer,” said Mark Grimes, a University of Montana biologist. “We used machine-learning algorithms to detect patterns in data that are difficult to see because our human brains are not all that great at seeing patterns in large spreadsheets.”
Lung cancer continues to be a major cause of mortality. The disease is the third most common cancer in the UK, accounting for 13 per cent of all new cancer cases and affecting 48,500 new people every year, according to Cancer Research UK.
Although there are existing treatments for lung cancer...