Machine learning in drug discovery: an expert perspective
Jason Smith provides his perspective on Daphne Koller’s eye-opening McKinsey interview.
Automate data transformation for healthcare and pharma
Automating data transformation draws actionable insights quicker to improve patient outcomes and drug development. Read to learn more.
Life science trend tracker #4
What’s new in life science, and how should companies respond?
7 types of real-world analytics healthcare professionals should use
How are real-world data and real-world evidence used in today’s healthcare and life science landscape?
Elon has entered the chat: should pharma worry amid Twitter chaos?
Our analytics show how upheaval at the social media company may impact the life science industry.
What is an orphan drug status?
What does orphan drug designation mean, and how does it affect the treatment of rare diseases and disorders?
Guide to real-world evidence in healthcare
Real-world data and real-world evidence offer a data-driven approach to bridge gaps in clinical study design.
The best of 2022
It’s here – the definitive list of our most-read blog posts, articles, and resources.
Designing successful rare disease clinical trials
An overview of challenges in trials for orphan drugs and how technology can help overcome them.
Looking back: what did we get right?
Did 2022 unfold as planned? We check in on our predictions.
