Conditional variational autoencoders in single-cell RNA sequencing data
Gökçen Eraslan, PhD

The camp will focus on machine learning and artificial intelligence, and its application in genomics, pathology, radiology, and clincal data, with hands-on practice, demo, and features talks from 15 experts. The course is organized into three sections: Foundation part will cover mathematics behind the neural network models, tools and resources for deep learning, and a two-hour python hand-on course; Application part will include practical examples and various application in genomics, pathology, radiology, clinical, real-world data. In the end, we will have an Open Discussion about the challenges and unsolved questions in AI, with a panel of doctors, biologists, and computational scientists. So, it will be an exciting event and lots to expect!