Anthropic's recent research post brings additional points to Arachne.ai's use-case-specific materialisation approach for biomedical data in agentic context.
Read more about Anthropic on issues with research data in biology →After a quick refresher of dealing with Elixir-class data providers, I reminded myself how the public life science tools and databases are.
Read more about Public life science data infrastructure is too brittle for agents →Medallion architecture is one of those late-stage / enterprise patterns that I've found surprisingly useful quite early. Research projects, app projects, early-stage startups - you name it.
Read more about Medallion Architecture for Early Stage Startups →Tabular data remains the last bastion unconquered by deep learning. This might change soon.
Read more about TabPFN - a deep learning architecture for tabular data that actually works →If you have a dataset that could be valuable for biomedical research, here are a few key points to consider from our perspective as data integrators and users in research-centric biotech and pharma projects.
Read more about Making your biomedical dataset more appealing →