Exact(5)
Screening type 2 diabetic patients using ba-PWV, a simple and noninvasive marker, may help identify patients at high risk for a short-term decline in renal function.
The clinical utilisation of our prognostic marker may help to differentiate patients with CRC with dissimilar survival outcomes and thus more aggressive adjuvant chemotherapy could be given to those with predicted poorer prognosis.
As indiscriminate use of chemotherapy for patients with stage-II disease results in minimal reduction in mortality, identification of a new prognostic marker may help to determine which patients would benefit most.
Our proteomic discovery work also suggests (Table 4; P = 0.03) higher B2M levels in stroke cases versus controls, so that this marker may help to understand adverse effects of hormone therapy on cardiovascular disease more generally.
Using HPA axis reactivity as a predictive marker may help to identify individuals at risk for dependence or relapse prior to development of those conditions, which would allow the individuals and their treatment providers to take action and improve overall prevention and treatment efforts for AUDs.
Similar(55)
In this line, it would be helpful to identify which surrogate markers may help us to predict this contribution to efficacy.
Researchers and clinicians have increasingly recognized that biological markers may help identify patients who are at risk for suicide.
Changes in tumor markers may help select patients who are likely to benefit from therapy.
Understanding risk markers may help identify modifiable factors which may be intervened upon, and aid in the identification of individuals at greatest risk for PDO.
Importantly, the discovery of infection progression signature markers may help address the prevailing challenge in an influenza pandemic, namely, to distinguish high risk individuals from a vast number of uncomplicated, self-limited infected cases.
Although each of these markers may help enrich the CSCs, it is clear that they do not accurately identify the tumor initiating cells in human NSCLA tumors, as this population might be quite complex and could be represented by an overlap of several different markers.
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