5th Annual Patient-Driven Precision Medicine Conference.
This year (see https://dbmi.hms.harvard.edu/events/precision-medicine-annual-conference
for highlights from prior years) the focus is how AI can and will acceleration precision medicine. Also the limitations. Details here
. The conference is free but maximum registration is 600 so you should register in advance here.
Post-doc to investigate cancer treatment response
Requirements: Experience in NGS genomics or transcriptomics. Experienced in R or Python programming.
Project: Investigating exceptional reponders to cancer therapy.
Patient-specific drug selection: Computational biology programmer.
Required: Experienced programmer with familiarity in NGS pipelines.
Project: Selecting drugs to treat patients based on molecular data
Policy piece on adversarial networks in machine learning published.
In Science Magazine, Vol 363, Issue 6433
22 March 2019
Finlayson, Samuel G., John D. Bowers, Joichi Ito, Jonathan L. Zittrain, Andrew L. Beam, and Isaac S. Kohane. 2019. “Adversarial Attacks on Medical Machine Learning.” Science 363 (6433): 1287–89. https://doi.org/10.1126/science.aaw4399.