AI Discovers 3 Drug Combos That CRUSH Cancer Better Than Chemo

I have a love-hate relationship with technology.

What I don’t like is that it pushes us further away from living in harmony with Nature—while exposing us to harmful things like blue light and EMFs.

However, I have to admit it also has some pretty big advantages.

Recently, researchers have started been harnessing the power of artificial intelligence (AI) in medical research and drug development… and it promises to change the trajectory of healthcare.

One of AI’s greatest benefits is its ability to identify existing FDA drugs that could be repurposed for new therapeutic uses.

Now, researchers are using it to find safer, more effective cancer treatments.

Scientists have long been trying to develop a new cancer cure.

But what if safe, effective treatments already exist?

Researchers utilized an AI model to search vast amounts of data to find a combination of existing drugs that could do two things:

1. Kill breast cancer cells (MCF7)
2. Not harm healthy cells (MCF10A)

There were a few additional key criteria for the search: the drugs had to be approved for use in humans, not be cancer drugs, and be affordable.

The AI came up with 12 unique drug combos that fit these criteria. They came from places you’d least expect—drugs for completely unrelated conditions like high cholesterol, parasitic infections, and alcohol dependence.

The scientists then took these pairings and tested them in a lab setting.

Incredibly, when it came to killing breast cancer cells and NOT harming healthy ones, three of the drug combos suggested by AI worked better than standard cancer therapies.

They were:

• simvastatin (for high cholesterol) + disulfiram (for alcohol abuse)
• dipyridamole (to prevent blood clots) + mebendazole (for infections caused by worms)
• itraconazole (for managing fungal infections) + atenolol (for high blood pressure and chest pain)

Of course, these initial findings still need to be tested in a clinical setting. However, the fact is that AI is a remarkable tool that can identify existing treatments that would have otherwise flown under the radar.

It also promises to shave years off of drug development. And that time could be a matter of life and death, whether you’re dealing with cancer or another life-threatening condition.

If we can’t escape technology, we might as well harness its ability to help us live longer, healthier lives.

P.S. This is just scratching the surface of AI’s potential to revolutionize the healthcare industry. To read more about it, check out the May issue of my newsletter.

View Sources

Abbi Abdel-Rehim, Hector Zenil, Oghenejokpeme Orhobor, Marie Fisher, Scientific hypothesis generation by large language models: laboratory validation in breast cancer treatment, Journal of the Royal Society Interface, June 2025, Volume 22, Issue 227, DOI:10.1098/rsif.2024.0674