This workshop is a combination of 2 connected papers for Phuse US 2020 conf. Section: PHUSE US Connect 2020 – Orlando, FL - Machine Learning & Artificial Intelligence March 8th-11th
https://www.phuse.eu/usconnect20-presentations
Paper ML12 R for Deep Learning with Tensorflow™ with Applications in Cancer Immunotherapy https://github.com/philbowsher/Workshop-R-Tensorflow-Scientific-Computing/raw/master/papers/R%20for%20Deep%20Learning%20with%20Tensorflow%20with%20Applications%20in%20Cancer%20Immunotherapy%20Bowsher.pdf
Paper TT14 R & Python for Clinical Workflows: https://github.com/philbowsher/Workshop-R-Tensorflow-Scientific-Computing/raw/master/papers/R%20%26amp%3B%20Python%20for%20Clinical%20Workflows%20Bowsher.pdf
Live environment with examples: https://rstudio.cloud/project/1011147
AI Intro Talk:
https://colorado.posit.co/rsc/AI_Pharma_Open_Source/#/title-slide
Live Presentation is here:
https://colorado.rstudio.com/rsc/WorkshopRDeepLearningSci/workshopTensorflow.html#1
Work built on top of:
https://blogs.rstudio.com/tensorflow/posts/2018-01-29-dl-for-cancer-immunotherapy/
https://github.com/sol-eng/immunotherapy
https://solutions.rstudio.com/examples/tensorflow/immunotherapy/
Immunotherapy workflow for part 3:
pin the model
update config.yml to point to the Connect server, API key, and immuno_api
run the plumber API / test it
publish Plumber api
set vanity url on Plumber API to immuno_api