A recently published meta-analysis puts metformin to the test to see how well it lines up against other T2DM “Medication All-Star Team” members.Read More »
The unique benefits of using empagliflozin need to be considered when determining treatments for type 2 patients.Read More »
A new phase 3 study on novel SGLT inhibitor shows favorable results in those living with severe renal impairment.Read More »
Adequate amounts of magnesium in the diet could reduce the risk of type 2 and cerebral vascular incidents.Read More »
Long-term users of the acid reflux drugs known as Proton Pump Inhibitors (PPIs) have a 24% higher risk of developing type 2 diabetes than non-PPI users.Read More »
This article is part of a live interview with Dr. Engel, Associate Vice President, Cardiometabolic and Women's Health, Merck Research Laboratories.Read More »
Can a virtual diabetes clinic (VDC) improve diabetes care?Read More »
Since DPP-4 plays a role in infection for some coronaviruses, there is increased interest in whether patients using DPP-4 inhibitors are at greater pneumonia risk.Read More »
Optimize Clinical Diabetes Management with AI Technology
A new clinical software using artificial intelligence is being used for those with type 2 diabetes in Kentucky. It shows promising results in improving the Quality of Life for its residents and lowering treatment costs.
In part 3: user testimonials about the experience and exciting findings using the software. A more in-depth examination of the benefits of applying decision-support software in clinical practice.
Collaborative Analysis Concludes that the AI Tool Improves Outcomes for Type 2 Diabetes Patients
A new clinical software using artificial intelligence is being used for those with Type 2 diabetes in Kentucky. It shows promising results in improving the Quality of Life for its residents and lowering treatment costs. This feature is a 3-part series.
The project was designed to address through clinical intervention the issues experienced by patients with diabetes, such as high A1c levels. Through team-based care, clinical software support, and patient engagement, the intervention was projected to help control HbA1c and potentially lower treatment costs.