https://www.sciencedaily.com/releases/2023/01/230110103448.htm

The study was published today in Nature Communications and is one of the first to apply machine learning techniques to the design of polymeric long-acting injectable drug formulations.

The multidisciplinary researchis led by Christine Allen from the University of Toronto's department of pharmaceutical sciences and Alán Aspuru-Guzik, from thedepartments of chemistry and computer science. Both researchers are also members of the Acceleration Consortium, a global initiative that uses artificial intelligence and automation to accelerate the discovery of materials and molecules needed for a sustainable future.