Minikanren enthusiasts: meet Medikanren https://www.uab.edu/mix/stories/a-high-speed-dr-house-for-medical-breakthroughs
@cwebber expert systems come back from the grave
or were they ever really dead
@KitRedgrave maybe the ai winter was really just an ai cryogenic freeze
@cwebber i would love to know how they deal with ingesting all these papers and generating a suitable knowledge representation. are they using a different machine for that?
@KitRedgrave @cwebber it looks like they use something called SemMedDB
@KitRedgrave @cwebber "The Semantic MEDLINE Database (SemMedDB) [1] is a repository of semantic predications (subject-predicate-object triples) extracted by SemRep, a semantic interpreter of biomedical text [2]."
@er1n Oh I didn't realize @KitRedgrave meant the data... I thought we were talking about the data store!
Not the only cool resource published by the us gov and in the public domain... the USDA nutrition database is also cool as hell https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/nutrient-data-laboratory/docs/sr28-download-files/
@cwebber @er1n yeah. reading that many papers and getting the knowledge is not at all trivial! interesting that they had some way of getting that large a knowledgebase... though one has to wonder how valid some of it is given that some branches of science have had bad problems with replicable results
@KitRedgrave @er1n @cwebber No, as it hasn't been nearly validated enough. That might help guide what to study, but you are never going to beat a properly done three-phase trial of thousands of people for finding problems with a drug.
@KitRedgrave @er1n I wonder if it's data the FDA itself used for its evaluation of whether or not a drug may be introduced to the market?