Deep Learning in Medicine - An Introduction and Applications to Next-Generation Sequencing and Disease Diagnostics

This course on deep learning in medicine aims to introduce learners to the applications of deep learning in next-generation sequencing and disease diagnostics. By the end of the course, students will be able to understand and apply deep convolutional neural networks for detecting genetic variations in human read data. The course covers topics such as genomics, genetic variation, genome sequencing, variant calling, and the use of deep learning in disease diagnostics. The teaching method involves a presentation by a Google Developer Advocate, discussing the DeepVariant method and its advantages over existing genotyping tools. This course is intended for individuals interested in the intersection of deep learning and medicine, particularly those working in genomics, bioinformatics, or healthcare.