Sentence examples for monitor disease progress from inspiring English sources
While the leading marker, CEA, has been used extensively to determine prognosis and to monitor disease progress and therapy after curative resection, it is not sufficiently specific based on its elevated level in other conditions, such as hepatitis, pancreatitis, inflammatory bowel disease and obstructive pulmonary disease, as well as pancreatic, gastric, lung and breast cancer.
It could also be used to monitor disease progress non-invasively.
There is also an urgent need for biomarkers which will help clinicians easily diagnose MS, monitor disease progress, and responses to treatment.
In addition, only a small number of arboviral diseases can be prevented using vaccines or specific antiviral drugs, and there are few validated diagnostic reagents, with which to monitor disease progress and control.
Identification of disease biomarkers is potentially useful for diagnosis, monitoring disease progress as well as evaluation of therapies.
The challenges ahead are to evaluate plasma lipidomics in larger and more diverse patient populations to determine their utility in disease diagnosis and in monitoring disease progress.
Or, indeed, confound the accuracy of other biomarkers entirely: diagnostic or predictive markers, or markers for monitoring disease progress could all follow this general template.
An ancillary benefit of using QTs is that they can serve as effective biomarkers for monitoring disease progress or treatment response in clinical practice or drug trials.
Besides clinical and serological assessments, musculoskeletal ultrasound (US) is now an important tool in the diagnosis and monitoring of disease progress.
Testing of serum PSA was routinely applied for diagnosing prostate cancer and for monitoring the disease progress, with total PSA values below 4 ng/mL considered safe while levels above 10 ng/mL indicated the presence of a disease.
If proven valid, this concept might be developed into a novel type of integrative tests for the monitoring of the disease progress and the prediction of disease outcomes.
