“AI can reduce dramatically the time to finding solutions for COVID-19. But applications that are not supported by domain experts are usually dangerous. They can be based on mistakes or misinterpretations. So it’s vital that we understand the scientific methodologists which are being applied.”

This is a conversation with Giuseppe Bonaccorso. Giuseppe is Head of Data Science in a large pharmaceutical corporate. His main interests include machine/deep learning, reinforcement learning, big data, and bio-inspired adaptive systems. He is author of several publications including Machine Learning Algorithms and Hands-On Unsupervised Learning with Python, published by Packt Publishing.

In this episode, Giuseppe talks about how AI is being applied in healthcare. We talk about whether biases in data could slow down a cure for Covid-19 and the challenges that remain with health data collection, even when it starts with good intentions.

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