Not exact matches
«Method to
predict drug stability could lead to more
effective medicines.»
Researchers from the UK and Denmark have developed a new method to
predict the physical stability of
drug candidates, which could help with the development of new and more
effective medicines for patients.
(Five of the three -
drug combinations were less
effective than they expected, and the other 13 groupings performed as they
predicted.)
The new paper also provides the first detailed explanation of how the scientists created a mathematical formula that can help
predict which combinations of
drugs will be most
effective.
When matched with patient records, iPSCs and iPSC - derived target cells may be able to
predict a patient's prognosis and whether or not a given
drug will be
effective for him or her.
This strategy is expected to improve early diagnoses and intervention,
predict the course of a disease, identify new
drug targets and select the most
effective therapies for individual patients.
These results reveal new risk markers in the genome that could be used to
predict which children are likely to respond poorly to albuterol and other current first - line anti-asthma
drugs, and to guide the development of new therapies that will be more
effective and reduce the outsize burden of mortality in minority populations.
As with all
drugs or pharmaceutical products, heartworm preventives should be used before the expiration date on the package, because it is impossible to
predict if it will be
effective or safe.