AI-Generated Nanoparticles Prove Capable of Delivering Modern Medicines to Diseased Cells

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AI-Generated Nanoparticles Prove Capable of Delivering Modern Medicines to Diseased Cells

Posted 2 days ago

In collaboration with Astra Zeneca, new research from Cardiff University used artificial intelligence to create microscopic nanoparticles that can effectively transport medicines to target and treat diseased cells precisely.

Pills, medications in hand – illustrative photo. Modern medications are increasingly associated with the use of treatment-delivering nanoparticles. Image credit: Kateryna Hliznitsova via Unsplash, free license

The team say their work has potential future applications in treating genetic diseases and cancer as well as infectious disease.

Professor Arwyn T Jones, Cardiff University’s School of Pharmacy and Pharmaceutical sciences, said: “We are continually looking for new and improved ways of delivering drugs around the human body. Nanoparticles are tiny particles that can act as microscopic shuttles to transport and deliver therapeutic molecules – medications —around the body to reach the specific site that needs therapeutic intervention.

“By taking these drug molecules to the right location in the body, the nanoparticles can help to treat several different diseases.”

This collaborative study used AI to design a bespoke nanoparticle to deliver a drug molecule, called mRNA, to cancer cells. This AI-designed nanoparticle was then proven to be more effective as a delivery shuttle compared with other prototypes.

Analyzing samples in a laboratory. Image credit: Pxhere, CC0 Public Domain

“This research showed that machine learning and artificial intelligence can form an integral part of the design process for constructing more effective nano therapeutics.

“Whilst the nanoparticle generated through this study was within a narrow field of biomedical research, the new technique — based on computational learning and subsequent design of a new nanoparticle shuttle — was proven to be effective“, said Jones.  

“This means this new technique could be used to analyze and design thousands of different types of nanoparticles and deliver hundreds of different types of therapeutic molecules to target a very wide range of diseases,” added Professor Jones.

A hospital. Image credit: Max Pixel, CC0 Public Domain

Nanoparticles are currently used in medical treatment, however, scientists manufacture and test often hundreds of nanoparticle designs before identifying the best one – a process that can take years. This new method shows how AI can rapidly accelerate the development of nanoparticles.

“This approach gains information on how cells and proteins in cells regulate the performance of nanoparticles as drug delivery agents. It clearly demonstrates that machine learning can significantly contribute to efficiently designing more effective nanotherapeutics to better target and treat disease,” added Professor Jones.

Source: Cardiff University

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