Biomedical knowledge graph-backed service: seeking collaborators
Problem space: Improve the efficiency with which researchers / students can consume and utilise information from biomedical publications.
Background and use cases: During my time in the biomedical industry, I have been exposed to several cases where the class of tool I'm envisaging would be productive, but have not been able to find a satisfactory solution. Some (abstract) cases: - What are the consequences of modulating a certain biological entity? - What biological changes could cause a certain consequence? - What are the relational paths between process / chemical / outcome A and B, inferrable from published findings?
Solution is a system which: - Automatically compiles relationships between biomedical concepts from publications. - Models as a knowledge graph, allowing traversal queries to form chains of relations (inference). - Is queryable through an interface / API, optimised for the above cases.
Status: I have a relation extraction system that is fit for prototype (built in Python on top of SpaCy) and have experimented with knowledge graph implementation (in GraKn) and am encouraged to continue. Achieved in 3-4 months of part-time effort (relying on previous experience of "text mining" activites on scientific content).
I would like to: - Discuss with anyone interested. - Find potential collaborators for a proof-of-capability system demonstrate to some labs within the next 2-3 months. - Be challenged on the thinking and made aware of related projects (if it exists, sign me up).
Desirable traits in collaborator: - Someone to complement my skills. I.e, foremost they would have strength in front-end development / design. - Scientific background is a plus.
Don't hestitate to hit me up for a chat and more information. Cheers!