The challenge of analyzing real-world data lies in the disorganized nature of the data involved. Real-world evidence is derived from a variety of disparate sources which need to be suitably aligned to enable meaningful information to be extracted. Unlike RCTs, where...
Algorithms aren’t going to replace our doctor any time soon. However, there’s a lot of machine learning in healthcare that can help him diagnose you faster and more efficiently. Moreover, they can also devise an efficient treatment regime. All you need to know, you...
Although the FDA is not the only health authority that identifies these issues in inspections and enforcement actions, their transparency ensures the data is readily available. See what the FDA is doing here.
We’re back from DIA 2019 held in San Diego.While the conference consumed almost the entire convention center, the number of attendees walking the exhibit area was limited. This may have been a testament to the quality of the sessions as overall attendance was on par...
We’re back! CTIS was abuzz about Digital Biomarkers and their applications in clinical trials. Several definitions floated around, but we liked the simplest one — “user-generated physiological indications captured by a device.” Many of the speakers discussed...
