Open science accelerates precision medicine
Our teamed joined forces with experienced drug developers and open science champions to comment on how community driven data and tools can help accelerate precision medicine.
We focused on a few important areas in this article including:
Target nomination requiring scale and specificity that generally can’t come from just one source such as reported in our omicSynth project.
Biological context and function inferences from project’s like the NIH’s iNDI.
Global collaborations like GP2 to leverage diversity and reduce model bias.
The graphical abstract below is a summary and contains additional open science related links.
