Pharma R&D Today
Ideas and Insight supporting all stages of Drug Discovery & Development
Machine Learning Could Make Drug Discovery Faster, Cheaper, Better
Posted on November 6th, 2018 by Jabe Wilson in Pharma R&D
The stats on the increasingly high cost (and low success rates) in drug discovery are always jarring. As Phee Waterfield of Binary District Journal reports:
- Bringing a new drug to market is estimated to cost major pharma firms more than $4 billion
- The process can take 10-15 years
- Fewer than 10% actually make it to market
Big Talks on Big Data are Coming to Bio IT World
Posted on May 9th, 2018 by Neal Katz in Pharma R&D
At next week’s Bio IT World conference and expo (Boston, May 15-17), Elsevier will be giving four talks on the implications of AI and machine learning on life science research, a statistical analysis of concordance between animal toxicities and human adverse events, strategies for increasing data sharing and the latest technologies being used to integrate multiple data sources. (more…)
Harnessing big data — it’s challenging, but it can be done
Posted on February 12th, 2018 by Christy J. Wilson in Pharma R&D
Today’s big data has the power to drive innovation in ways that the pharmaceutical industry could previously only dream of. Yet harnessing that power comes with an equally sizable challenge: it will require an enormous shift in how research is performed. (more…)
Extreme Makeover: Clinical Trials Edition
Posted on December 4th, 2017 by Sherry Winter in Pharma R&D
In a piece featured in the PharmaTimes, Katrina Megget points out the sad state of affairs when it comes to clinical trials, highlighting some appalling stats on the frequent failure to reach enrollment targets (in some cases, not finding any patients at all) and the tendency for studies to go on far longer than anticipated. (more…)
