From Discovery to Drugs: Where Drug Discovery Goes Wrong | by California Youth STEM Project | Feb, 2024

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Summary

● Drug discovery focuses on identifying and testing new drugs to cure illnesses.
● Drug testing is necessary to ensure the viability of drugs for humans and the market, but it also comes with consequences such as cost, competition, and time.
● Deep learning algorithms, such as Generative Adversarial Networks (GANs) and Graph Neural Networks (GNNs), have the potential to revolutionize drug discovery by making it faster and more efficient.
● However, deep learning algorithms are currently held back by issues such as data requirements, computational intensity, and interpretability.
● The development and improvement of deep learning algorithms for drug discovery requires the contribution of many individuals.

Author: California Youth STEM Project
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