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Chemistry taster session: Machine Learning for Drug Design with Professor Gabriele Sosso
Prof Gabriele Sosso, from the Department of Chemistry, will be running an interactive talk aimed at A-Level (or equivalent) Chemistry students about Machine Learning for Drug Design.
Machine learning is increasingly shaping modern science, and drug discovery is no exception. With chemical space containing millions of possible compounds, the ability to predict which molecules are worth synthesizing is becoming a crucial tool for researchers. In this talk, we will explore how machine learning can assist in identifying promising drug candidates by leveraging existing datasets and computational models.
The discussion will connect key concepts from A-level Chemistry, Mathematics, and Biology, such as molecular structure, solubility, and statistical models, to the challenges of pharmaceutical research. We will also examine the limitations of machine learning, addressing common misconceptions and highlighting where human expertise remains essential.
By the end of the talk, you will have an understanding of how computational approaches complement experimental drug design and how machine learning is being integrated into the broader landscape of chemical and biomedical research.
Session is a taster session aimed at year 11/12 students who are interested in finding out more about Chemistry at University of Warwick
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