Pancreas-on-a-chip technology to aid in diabetes research
Scientists combine organ-on-a-chip and stem-cell technologies to make a powerful tool for diabetes research.
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Scientists combine organ-on-a-chip and stem-cell technologies to make a powerful tool for diabetes research.
Researchers have created a fruit fly model to investigate uric acid-related diseases such as diabetes to aid in drug development.
Researchers have identified a key process behind senescence, or why cells age, which could be used to improve treatments for cancer.
The use of models is a key feature of preclinical studies and in recent months there have been several new advancements in this area. This article investigates five of the latest developments.
A study has shown that deactivating an enzyme linked to ceramides caused obese mice to improve their metabolic health, indicating a drug target.
Researchers haved mapped the crystal structure of a protein to find out how a drug latches onto it.
New research has identified a potential treatment against diabetic eye disease from the RBP3 protein, found in the retina.
Pharmaceutical company, Sanofi, will eliminate jobs in France and Germany and end new in-house cardiology research programmes.
Arizona company claims their products can treat Lyme disease, diabetes, Parkinson’s disease and more, but have not been approved for any use.
Harvard-led research boosts the yield of insulin-producing cells for diabetes therapy.
Researchers have transformed stem cells into cells that are able to produce insulin - the hormone that produces blood sugar...
Researchers have been able to grow perfect human blood vessels in the lab, and are now looking to conduct disease research for vascular diseases...
Artificial Intelligence has been used to cost-effectively diagnose diabetic-related eye disease automatically with far more accuracy than current methods...
After combining over 700,000 2D images, researchers have finally been able to build a 3D image of how insulin binds to its receptor...
A team of researchers have demonstrated a new way to sequence proteins that are much more sensitive than existing technology, identifying individual protein molecules rather than requiring millions of molecules at a time