New Delhi, Aug 19 (IANS) The use of artificial intelligence (AI) has grown significantly, enabling applications such as content development, email proofreading, and driverless cars. New research explores its potential in developing improved antibiotics, with accurate and efficient prediction models.
Researchers from the University of Manitoba, Canada, deployed explainable AI (XAI) — a branch of AI that provides a rationale for model judgments, increasingly being used by scholars to examine predictive AI models.
Though XAI can be applied in a variety of contexts, the team used it to develop antibiotics.
Despite AI’s near-omnipotent use, many of its models act as “black boxes,” making the decision-making process opaque. This can breed distrust, especially in vital domains such as drug discovery.
To overcome this, the team used XAI to train AI drug discovery models, particularly those that identify potential novel antibiotic candidates. Predictive models are essential given the pressing need for efficient antibiotics in the face of increasing resistance.
“AI is the way of the future in chemistry and drug discovery. It takes someone to lay the groundwork, and I think I’m doing that,” said Hunter Sturm, a graduate student of the University.
To anticipate biological effects, the scientists fed drug chemical databases into an AI model. An XAI model was then used to examine the precise molecular properties behind these predictions.
Fascinatingly, XAI discovered elements that human chemists would have missed, such as the fact that non-core structures in penicillin compounds are more important than the core itself.
To test predicted antibiotic compounds, the researchers collaborate with microbiology labs to improve AI models through the application of XAI insights.
Rebecca Davis, a professor of chemistry at the University of Manitoba, Canada noted that “AI causes a lot of distrust.”
“Nevertheless, there’s a better chance this technology will be accepted if we can ask AI to explain itself,” she added.
The findings will be presented at the ongoing American Chemical Society (ACS) Fall 2024 meeting, being held from August 18-22.
–IANS
ts/rvt/
Disclaimer
The information contained in this website is for general information purposes only. The information is provided by TodayIndia.news and while we endeavour to keep the information up to date and correct, we make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the website or the information, products, services, or related graphics contained on the website for any purpose. Any reliance you place on such information is therefore strictly at your own risk.
In no event will we be liable for any loss or damage including without limitation, indirect or consequential loss or damage, or any loss or damage whatsoever arising from loss of data or profits arising out of, or in connection with, the use of this website.
Through this website you are able to link to other websites which are not under the control of TodayIndia.news We have no control over the nature, content and availability of those sites. The inclusion of any links does not necessarily imply a recommendation or endorse the views expressed within them.
Every effort is made to keep the website up and running smoothly. However, TodayIndia.news takes no responsibility for, and will not be liable for, the website being temporarily unavailable due to technical issues beyond our control.
For any legal details or query please visit original source link given with news or click on Go to Source.
Our translation service aims to offer the most accurate translation possible and we rarely experience any issues with news post. However, as the translation is carried out by third part tool there is a possibility for error to cause the occasional inaccuracy. We therefore require you to accept this disclaimer before confirming any translation news with us.
If you are not willing to accept this disclaimer then we recommend reading news post in its original language.
