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COMMONLY USED NON-CANCER DRUGS COULD HELP IN THE TREATMENT OF THE DISEASE, AN 'AI-SCIENTIST' HAS DISCOVERED. 16:30, 04 Jun 2025Updated 16:31, 04 Jun 2025 It seems that technology

is reaching new heights, as an AI-powered 'scientist’ has made a significant discovery. Working alongside human researchers, the AI model GPT-4 (not to be confused with ChatGPT) has

suggested that combinations of cheap and safe drugs could also be effective at treating cancer. The research team, led by the University of Cambridge, used the GPT-4 large language model

(LLM) to sift through extensive heaps of scientific literature in order to identify potential new cancer drugs. It was found that drugs for conditions such as high cholesterol and alcohol

dependence could potentially kill cancer cells, in research results published in the Journal of the Royal Society Interface. The researchers asked GPT-4 to identify potential new drug

combinations that could have an impact on a type of breast cancer cell which is commonly used in medical research. They instructed the 'AI scientist' to avoid standard cancer drugs

and identify medications that would attack cancer cells without harming healthy cells. They also prompted the AI model to prioritise drugs that were affordable and approved by regulators.

When GPT-4 had made its suggestions, the chosen drugs were then tested by human scientists to measure their effectiveness against breast cancer cells. It was found that three of the 12 drug

combinations suggested by GPT-4 worked better than current breast cancer drugs. The AI model then learned from these tests and suggested a further four combinations, three of which also

showed promising results. Article continues below Simvastatin (commonly used to lower cholesterol) and disulfiram (used in alcohol dependence) stood out against breast cancer cells. And

while these drugs are not traditionally associated with cancer care, they could be used as potential cancer treatments- although they would first have to go through extensive clinical

trials. The researchers have emphasised that AI is not a replacement for scientists, but that supervised AI researchers have the potential to accelerate discovery in areas like cancer

research. Models like GPT-4 have been known to return results that aren’t true. But in scientific research, these incorrect suggestions, which are known as hallucinations, can still lead to

new ideas that are worth testing. “Supervised LLMs offer a scalable, imaginative layer of scientific exploration, and can help us as human scientists explore new paths that we hadn’t thought

of before,” said Professor Ross King from Cambridge’s Department of Chemical Engineering and Biotechnology, who led the research. “This is not automation replacing scientists, but a new

kind of collaboration,” added co-author Dr Hector Zenil from King’s College London. Article continues below “Guided by expert prompts and experimental feedback, the AI functioned like a

tireless research partner—rapidly navigating an immense hypothesis space and proposing ideas that would take humans alone far longer to reach. “This study demonstrates how AI can be woven

directly into the iterative loop of scientific discovery, enabling adaptive, data-informed hypothesis generation and validation in real time." JOIN THE DAILY RECORD WHATSAPP COMMUNITY!

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