AI-powered AlphaFold broke new scientific ground in predicting the structure of human proteins, says a co-author of the study
According to Scripps News, artificial intelligence (AI) is capable of treating and detecting various types of cancers in addition to writing several essays and passing bar exams.
Researchers from the University of Toronto and Insilico Medicine used an AI database called AlphaFold to create a medicine that could treat hepatocellular carcinoma (HCC), or liver cancer, in just 30 days.
The study which was published in the journal Chemical Science in which the AI system discovered the previously unexplored paths to develop a cancer medicine to treat HCC and developed a novel hit molecule, that could bind the target.
They discovered an even more powerful hit molecule in the second round, but the researchers maintained that the drug still needs to go through clinical testing before it can be used to treat cancer in hospitals.
They did, however, state that any potential drug would still need to go through clinical trials before it could be used to treat cancer.
According to Feng Ren, the study’s co-author, the AI-powered AlphaFold broke new scientific ground in predicting the structure of human proteins.
“At Insilico Medicine, we saw this as a fantastic opportunity to apply these structures to our end-to-end AI platform in order to generate novel therapeutics for diseases with high unmet needs. This paper represents a significant first step in that direction “Moreover, he added.
Another study published in the journal JAMA Network Open by experts from BC Cancer and the University of British Columbia demonstrated how accurately AI predicted cancer survivor rates.
It looked at the survival rates of over 47,000 patients over the course of six months, three years, and five years.
Dr. John-Jose Nunez, the study’s lead author, stated in a statement, “The AI essentially reads the consultation document similarly to how a human would read it.”
“These documents contain numerous details, such as the patient’s age, the type of cancer, underlying health conditions, previous substance use, and family histories. All of this is brought together by AI to create a more complete picture of patient outcomes “, he emphasized.
Despite the fact that researchers are still in the early stages of exploring the full potential of AI in health care and disease treatment and diagnosis, studies indicate that it has the potential to be promising.
“Our hope is that a tool like this can be used to immediately personalize and optimize the care a patient receives, giving them the best outcome possible,” Nunez said.
