These are exciting times for the AMPEL team. BioBuzz thought it was a great time to catch up with AMPEL’s Co-founder, President, and Chief Scientific Officer Dr. Amrie Grammer to discuss her founder’s journey and AMPEL’s promising future.
Genomic tests help doctors treat COVID-19 and long COVID
With many COVID-19 treatments now available, a simple blood test can show doctors the best route to take. Charlottesville’s AMPEL BioSolutions says it can predict and detect the severity of a COVID-19 infection, as well as how to help a patient through its new genomic test called CovGENE.
AMPEL’s CovGENE blood test predicts COVID19 severity and holds promise for long COVID
AMPEL BioSolutions announced a breakthrough in precision and personalized medicine that can detect and predict the severity of COVID-19 in patients while also determining the best treatment options for each specific case.
New test shows whether someone infected with COVID will develop a bad case
While the COVID pandemic is easing in some places, the CDC says it’s the third leading cause of death for the third year in a row. Now, a Virginia company says it’s got a test that will help doctors determine which patients are at greatest risk so they can prescribe the best treatment.
New Breakthrough Test Detects and Predicts Severity of COVID-19
AMPEL BioSolutions today announced a breakthrough in precision and personalized medicine that can detect and predict the severity of COVID-19 in patients while also determining the best treatment options for each specific case. The company’s new approach, through a simple blood test, will ultimately accelerate the means of providing effective treatments to the right people at the right time and potentially stem the serious illness caused by SARS-CoV-2 infection that can lead to lung damage or death.
Test Can ID Patients at Risk for Severe COVID-19, Study Suggests
A genomic test being developed by a Charlottesville company can predict a patient’s risk of developing severe COVID-19, new research from UVA Health suggests. That information could help doctors identify patients at high risk for poor outcomes and quickly begin tailored treatment.