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Contributor Drug Discovery Insights

David Vidal

I received my Ph.D. in Organic Chemistry from the University of Barcelona in 2006. Throughout my career, I have participated in many computational drug discovery projects and contributed to the development of a wide range of modeling tools. Currently, I lead the R&D department at Mind the Byte, a multidisciplinary team of scientists and software engineers committed to the development of our drug discovery SaaS platform. Our main research lines include the development of new and effective in silico pharmacology tools and the application of machine learning for the improvement of traditional CADD techniques.

   

ADMET Artificial Intelligence Docking In Silico QSAR

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Artificial Intelligence For Drug Discovery Use Cases At Mind the Byte

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Artificial Intelligence For Drug Discovery Use Cases At Mind the Byte

Artificial intelligence (AI) has become a hot topic in the biopharmaceutical environment and nearly every pharma company in the world has embraced it hoping that it will play a major role in speeding up drug discovery, by reducing R&D costs and avoiding failure in late development stages. According to prospects, AI-driven drug discovery will lead to the development of new and more effective drugs, paving thus the way to personalized medicine.