AI develops cancer treatment in 30 days, predicts survival rate

"...but any potential drug would need to go through clinical trials before widespread use".

I didn't think we did that anymore?

Well, they'll have to kill off the AI now. Can't have it saving people and money...

[link to nypost.com (secure)]

Artificial intelligence has developed a treatment for cancer in just 30 days and can predict a patient’s survival rate.

In a new study published in the journal Chemical Science, researchers at the University of Toronto along with Insilico Medicine developed a potential treatment for hepatocellular carcinoma (HCC) with an AI drug discovery platform called Pharma.AI.

HCC is the most common type of liver cancer and occurs when a tumor grows on the liver, according to Cleveland Clinic.

Researchers applied AlphaFold, an AI-powered protein structure database, to Pharma.AI to uncover a novel target — a previously unknown treatment pathway — for cancer and developed a “novel hit molecule” that could bind to that target without aid.

The creation of the potential drug was accomplished in just 30 days from the selection of the target and after synthesizing just seven compounds.

After a second round of generating compounds, they discovered a more potent hit molecule — but any potential drug would need to go through clinical trials before widespread use.

This will alter the future of mankind if used in the right hands.

Well, they'll have to kill off the AI now. Can't have it saving people and money...

[link to nypost.com (secure)]

Artificial intelligence has developed a treatment for cancer in just 30 days and can predict a patient’s survival rate.

In a new study published in the journal Chemical Science, researchers at the University of Toronto along with Insilico Medicine developed a potential treatment for hepatocellular carcinoma (HCC) with an AI drug discovery platform called Pharma.AI.

HCC is the most common type of liver cancer and occurs when a tumor grows on the liver, according to Cleveland Clinic.

Researchers applied AlphaFold, an AI-powered protein structure database, to Pharma.AI to uncover a novel target — a previously unknown treatment pathway — for cancer and developed a “novel hit molecule” that could bind to that target without aid.

The creation of the potential drug was accomplished in just 30 days from the selection of the target and after synthesizing just seven compounds.

After a second round of generating compounds, they discovered a more potent hit molecule — but any potential drug would need to go through clinical trials before widespread use.