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

Explore deep learning applications in medicine through this GOTO Amsterdam 2018 conference talk. Delve into the use of convolutional neural networks for detecting genetic variations in human genome sequencing data. Learn about DeepVariant, a tool that outperforms existing genotyping methods and generalizes across genome builds and species. Discover how deep learning advances image recognition, particularly in diabetic retinopathy diagnosis. Gain insights into basic genetics, genome sequencing, and variant calling. Understand the intersection of deep learning with genomics, agriculture, and selective breeding. Examine the potential of combining genetic and environmental data for improved diagnostics and research outcomes.

Intro
Overview
convolutional neural network
inception model
why is deep learning becoming popular
diabetic retinopathy
image classification
under and over diagnosis
biopsy
genomics
basic genetics
human genome
internet scale
genome sequencing
genomics data
variant calling
code
diagram
convolutional network
blind experiment
open source
Agriculture
Genetics
Selective Breeding
Why is it so cheap
Combining genetic and environmental data