Drug delivery


AI-driven delivery I


Artificial intelligence (AI) has emerged as a transformative force in healthcare, with applications spanning diagnostics to drug development. Now, AI/ML models are revolutionising the design of delivery systems, from improving permeability to creating more effective drug carriers. Monica Karpinski delves into the rapidly evolving field of AI-driven drug delivery systems to explore the implications of these advances.


t’s notoriously difficult to gauge how well a drug can reach the brain. For ethical reasons, human trials aren’t typically possible. That leaves scientists with computational simulations, lab experiments or animal studies. Yet none of these options are perfect. For instance, simulations can be limited in what they are able to model and must be validated by experimental data. And while animal studies may be our most faithful recreation of in-human delivery, our current means of measuring permeability aren’t especially precise. Here, to ascertain how much of the drug has crossed the blood-brain barrier, scientists give the drug to a rat,


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then take out its brain and weigh it, explains senior lecturer at the School of Medicine, Pharmacy and Biomedical Sciences at Portsmouth University, Christian Jorgensen. “And then they’re making some very difficult mathematical estimation of how much must have got [into the brain]. But that’s it.” To paint a clearer picture, Jorgensen and his colleagues are working with AI models that can be trained to predict whether a drug will successfully reach the brain. It’s still a work in progress – Jorgensen notes that the field is still very underdeveloped – but this approach might help us gain novel insight into the odds


World Pharmaceutical Frontiers / www.worldpharmaceuticals.net


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