Sentence examples for timing disease from inspiring English sources

But soon our technology will be far reaching with applications in global food production, humanitarian relief planning, alternative energy, military strategy timing, disease (malaria, upper respiratory ailments, allergy, etc).

Risk stratification should ideally include considerations of timing, disease severity and of the proinflammatory or anti-inflammatory state but should also be immediately available at the bedside [ 13].

Epigenetic changes, cellular signaling and humoral pathways create the cellular milieu and pathophysiological profile, depending on the timing, disease setting, and stimulation state.

Furthermore, in the estimation of time-to progression, it must be considered that timing of disease assessment was not pre-planned and uniform between institutions.

To investigate the timing of disease prior to AMI, we calculated rates of new coronary, cerebrovascular, and peripheral arterial disease in 1-year time bands in the period before AMI, and rates of new coronary diagnoses and chest pain consultations in 1-month time bands in the period before AMI.

The goals of this study were as follows: 1) to determine the crop growth stage at which severity of SB was most strongly related to grain yield (GY), thousand kernel weight (TKW), and granulometry (G) damage in brewing barley and 2) to evaluate the efficacy of fungicides in controlling SB and the effect of fungicide application timing on disease intensity and yield.

We generate risk maps for summer and winter infection risk independently to allow changes in timing of disease outbreaks to be considered.

The seasonal risk maps demonstrate the possible change in the timing of disease outbreaks due to increased risk from overwintering larvae.

The model identifies regimes in which T-cell avidity and killing efficacy, together with the level of autoantibodies secreted by plasma cells, determine the timing of disease onset.

Mathematical modeling may help determine the key risk factors controlling the timing of disease onset in high-risk individuals for early diagnosis and early enrollment in preventative therapies.

The models presented here provide a qualitative and quantitative analysis of this correlation and explain the reason for the discrepancy in the timing of disease onset between rapid and slow progressors.