I’m working on a research project where we’re looking beyond clinical trial data and trying to understand how treatments perform in real-world patients.
I’m curious how biotech teams usually approach this. Is real-world data actually useful for understanding treatment outcomes and patient populations??
I've been wondering how useful real-world patient data is in neurology research. With years of records, treatments, imaging, and outcomes available, can this data help researchers better understand how neurological diseases progress?
For neurologists and researchers here, where do you see the biggest opportunity for real-world data in neurology?
Our team is evaluating a few AI-powered platforms to improve patient identification for upcoming clinical research programs.
The demos all look impressive, but we're trying to separate marketing claims from real operational impact.
For organizations that have already implemented AI in this area, where have you seen the biggest improvements?
I'd really appreciate hearing experiences from teams that have deployed these tools in a production environment!!
My apartment's tap water leaves white stains on my kettle in just a few days. Is this normal, or should I be worried?