MIT Used AI to Find Antibiotics That Can Kill Resistant Bacteria
Daniel Johnson — February 24, 2020 — Tech
References: news.mit.edu & engadget
MIT researchers were able to create an AI system that was able to discover a type of antibiotic, titled halicin, which is able to protect against many different forms of resistant bacteria. The AI was able to select for different traits by identifying different molecular structures. The team of MIT researchers were able to train the AI using 2,500 different molecules, and 1,700 different kinds of drugs, as well as 800 different natural products. In total, the AI examined over 6,000 different compounds to find one that was effective.
The system has not yet been used in human trials, so it will not be implemented in medical practice yet. Following the initial success, the team of researchers used the same system to examine over 100 million other molecules.
Image Credit: courtesy of the Collins Lab at MIT
The system has not yet been used in human trials, so it will not be implemented in medical practice yet. Following the initial success, the team of researchers used the same system to examine over 100 million other molecules.
Image Credit: courtesy of the Collins Lab at MIT
Trend Themes
1. AI-powered Antibiotic Discovery - Opportunity to develop AI-powered systems to discover new antibiotics and fight antibiotic-resistant bacteria.
2. AI-based Drug Development - Opportunity to develop AI-based systems to discover and develop new drugs more efficiently.
3. Machine-learning Molecular Analysis - Opportunity to utilize machine learning for molecular analysis to accelerate drug discovery and identify more effective treatments.
Industry Implications
1. Pharmaceuticals - AI-powered antibiotic discovery provides opportunities for pharmaceutical companies to develop new antibiotics and combat antibiotic resistance.
2. Healthcare - AI-based drug development could lead to the faster development of new treatments, bringing significant benefits to healthcare providers and patients.
3. Technology - Machine-learning molecular analysis can increase the speed of drug development and create opportunities for technology companies to develop cutting-edge healthcare solutions.
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