Monthly Archives: August 2017

DIABETES PIPELINE ANALYSIS – MERCK

2017-08-28T20:39:22+00:00

Merck’s two blockbuster diabetes products, Janumet® and Januvia®, are DPP-4 inhibitors that generated nearly $3.3 billion in Sales in 2016.3 Januvia® is especially known for its great cardiovascular safety profile, which has helped differentiate itself in its class. But Merck has no plans of stopping there with four different products in late stage development that appear to be promising. In conjunction with Pfizer, the company recently filed NDAs for three SGLT-2 inhibitors based on their  ertugliflozin molecule – one as a monotherapy, another in combination with Januvia® (sitagliptin) and the third a combination with metformin. Despite expectations to launch with three [...]

DIABETES PIPELINE ANALYSIS – MERCK2017-08-28T20:39:22+00:00

WHAT DO THE BIG PLAYERS HAVE IN STORE FOR THE DIABETES MARKET IN THE NEXT 12 MONTHS?

2017-08-04T16:08:42+00:00

Diabetes is one of the most prevalent diseases in the U.S., afflicting over 29 million people across Type 1 and Type 2 patients, according to the CDC1 and represents over a $50 billion dollar industry2. Pharmaceutical companies are constantly racing to create the next market leader, and 2018 will be no exception. Diabetes is a very challenging market to compete in since there is intense pricing pressure as well as more recent pressures for stellar cardiovascular outcomes data. It is no longer sufficient to demonstrate superior efficacy compared to alternative treatments. Doctors and patients are looking for heightened safety profiles and [...]

WHAT DO THE BIG PLAYERS HAVE IN STORE FOR THE DIABETES MARKET IN THE NEXT 12 MONTHS?2017-08-04T16:08:42+00:00

Letting the Data Tell the Story

2017-08-03T17:10:10+00:00

In our previous post we described the technique for assigning categories to data, based on input from content experts within a “training database”.  This technique is effective for summarizing large, text-heavy data into specific categories for summaries and improved visualization.  While this approach is useful for those purposes, it will not allow us to uncover new insights or trends because we are imposing a preconceived and finite set of options, or in other words, what we already know. The following describes our approach to using clustering techniques for exploring text-heavy data. We applied this technique to two different datasets: scientific journals [...]

Letting the Data Tell the Story2017-08-03T17:10:10+00:00