Funny Nature & Travel Art & Stage Going Viral Science Greetings Inspirational

Edit Profile Recently Viewed Favorites

Main > Science & Tech > Science and Technology

Scientists Used AI To Discover a New Powerful Antibiotic

By: Helena M.

Add to Favorites In Favorites

Español

Font Size:

A+ A-

It’s been recently published in the scientific journal Cell that a powerful new type of antibiotics has been discovered, using a pioneering machine-learning method. The work was led by biologist Jim Collins at the Massachusetts Institute of Technology in Cambridge.

The definition of machine-learning is the application of artificial intelligence (AI) to learn from its own experience. This is the ability of computerized systems to learn and improve from ‘their own’ experience without being explicitly programmed, like playing chess against itself without human players.

This is the first time that the use of AI has led to the identification of a completely new kind of antibiotic from scratch, without the input of any previous human assumptions. The new antibiotic was named halicin. When tested on mice, it was found to be highly effective against a wide range of bacteria, including tuberculosis and strains that were considered ‘pan-resistant’ and thus untreatable.

In previous experiments involving other antibiotic compounds, resistance has typically arisen within a day or two, but in the case of halicin it did not occur even after 30 days. The name halicin was picked as a homage to HAL, the intelligent computer in the movie 2001: A Space Odyssey.

Why Is the Discovery So Significant?

In recent years bacterial resistance to antibiotics has bee rising exponentially, while the discovery and regularity approval of new antibiotics is slowing down. Experts have made the grim prediction that by the year 2050, infections could become resistant to the point where they would kill 10 million people per year. One of the ways to avoid this terrifying scenario is by finding new antibiotics. The problem, according to Collins, is that people keep finding the same molecules again and again. That’s why the development of new modes of searching is so important.

How Was AI Used to Discover the New Antibiotic?

The team of researchers developed an AI algorithm inspired by the brain’s structure. This system, called a neural network, learns the features and qualities of molecules atom by atom. The neural network was then trained to spot molecules which hinder the growth of the bacterium known as E. coli.

Once the system was trained, it was used to screen about 6000 molecules. The researchers asked the model to predict which ones would be effective against E. Coli and to show only the ones that look different from conventional antibiotics. Out of the results, about 100 candidate molecules were selected for physical testing. Luckily, one of these molecules - halicin - turned out to be an extremely potent antibiotic.

The algorithm predicts the functions without any assumptions about how drugs work and without chemical groups being labeled, and it’s because of that neutral approach it can learn new patterns, unknown to human experts.

What Does It All Mean for The Future?

AI has already been put to use for medical research purposes, but in a slightly different way than Collins and his team have used it here. Instead of searching for specific structures and molecular classes, their network looked for molecules that display a particular activity.

The team hopes to broaden the general approach for finding new antibiotics and even use their methods to design molecules from scratch. The use of AI technology within healthcare is still considered in its infancy, but it is proving a powerful tool that may help us reach some major breakthroughs in the medical field. Many experts believe the next level of medicine and medical drugs depends enormously on our progress in computer processing power.

Related Articles:

How Fasting Can Slow Down Aging

15 Ways in Which 3D Printers Can and Are Used in Medicine

The Reason Why You Should Stick to One Doctor

Like Next Post Send Share WhatsApp

Copy Link

Did you mean:

Continue With: Facebook Google

By continuing, you agree to our T&C and Privacy Policy

Report copyright infringement

Print this content

You may also like:

Computers & Internet

Will Google Charge for Its AI-Empowered Search?

Is Google Going to Demand Payment for Its New Searches?

Google might start charging for access to search results that use generative artificial intelligence tools.

Computers & Internet

ChatGPT Not Cutting It? Try These 7 Innovative Options

ChatGPT's Got Competition: 7 Exciting AI Contenders

Looking for a ChatGPT alternative? Here are a few good ones.

Science and Technology

Everything About AI That Actually Matters, Explained

22:52

Will AI Take Your Jobs? An Expert Explains the Future

Gonzaga University's AI professor Graham Morehead some of our most pertinent questions related to AI.

Baba Recommends

Incredible Story: The Woman Who Can SMELL Parkinson's

In this piece, we'd like to introduce you to Joy's story, the series of events that led her to "encounter" Parkinson's disease, and its significance for the future of the medical world.

Science and Technology

How AI Is Solving Problems We Thought Were Impossible

How AI Is Fixing Problems Humans Struggle With

Here’s how AI is quietly reshaping the world in ways that actually matter.

Computers & Internet

Generate Your Own Masterpieces With These Ai Generators

Let artificial intelligence generate some art for you! We gathered 5 websites that are easy and free to use. Click to see what we made ourselves!

Health

Can We PREVENT Type 1 Diabetes?

The study's findings point toward developing a simple blood test that could detect the immune failure leading to type 1 diabetes before insulin-producing cells are permanently lost.

Art