Going Meta S02E10 – Structuring Biomedical Noise: Graphs, AI and the Drug Discovery Dilemma

Season 02 Episode 10 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: Structuring Biomedical Noise: Graphs, AI and the Drug Discovery Dilemma

Together with our guest, Stefan Munker, we discuss in this episode how unstructured biomedical data is inflating drug development costs and how graph-powered AI could be the key to unlocking more predictive, translationally relevant insights. Can better data structures cure what ails pharmaceutical R&D?

Jesús Barrasa: https://twitter.com/BarrasaDV
Repository: https://github.com/jbarrasa/goingmeta
Knowledge Graph Book: https://bit.ly/3LaqE6b
Previous Episodes: https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/

Guest: Stefan Munker, https://www.linkedin.com/in/stefan-munker-18739739/
Oncera: http://www.oncera.ai/
Oncera is spearheading AI in life sciences, bridging the gap between clinics, drug discovery, and clinical implementation.

#graphdatabase #neo4j #graphrag #knowledgegraphs #ontology #data