Artificial Intelligence in Drug Development: Analyzing Electronic Medical Records Using Deep Learning (ADDED FEE) — Professional Development Continuing Education Course
Believe or not, we are in the era of the fourth industrial revolution. It is critical for statisticians to understand or even master the center piece of this revolution, artificial intelligence (AI). Google, Amazon, Facebook, IBM and many other companies have broken new ground in AI including self-driving cars, cashier-free convenience stores, smarter hospital care, personal assistants and precision medicine. In the short course, I will first introduce the concept of AI, review breakthroughs of AI in drug development including drug discovery, patient recruitment, patient compliance and prediction of patient and clinical trial outcomes. Then, I will give a tutorial on deep learning methods, a set of novel tools for generating artificial intelligence, which were developed based on a class of almost forgotten old algorithms, neural networks that revived to become a mainstream in big data analytics thanks to advancement of big data and computer processing power. After that, I will illustrate the utility of deep learning in analyzing electronic medical records to predict patient and clinical trial outcomes for clinical trial optimization. Lastly, I will give an overview on Python, a commonly used software for deep learning, and the very necessary computing environment, cloud.