ELI LILLY in the Diabetes Market
For years, Eli Lilly’s main contributions to the Diabetes market were their insulins: fast acting analog Humalog® and human insulin Humalin and two premix offerings in analog Humalog® Mix 50/50 and human premix Humalin 75/25. Despite a legacy category, this portfolio of insulins continues to drive significant revenue with over [...]
DIABETES PIPELINE ANALYSIS – NOVO NORDISK
Novo Nordisk remains a top player in the Diabetes market with blockbuster insulins NovoLog® and Levemir® which brought in a combined almost $3.5 billion in 20166, Victoza® a GLP-1 that brought in $2.1 billion in 20166, and recently launched Basal insulin/GLP-1 combination product Xultophy®, which is expected to reach $1.2 [...]
DIABETES PIPELINE ANALYSIS – MERCK
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 [...]
WHAT DO THE BIG PLAYERS HAVE IN STORE FOR THE DIABETES MARKET IN THE NEXT 12 MONTHS?
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 [...]
Letting the Data Tell the Story
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 [...]
USING NLP TECHNIQUES TO CLASSIFY PATIENT SEGMENTS IN CLINICAL TRIAL DATA
One of the most common and powerful approaches in NLP provides the content experts an opportunity to label each data segment for a portion of the dataset and then analyze these labels to apply to the rest of the dataset. Some key questions need to be answered when applying this [...]