Sentence examples for predict the likelihood of developing from inspiring English sources

Unfortunately, because the individual risks associated are generally very small, and the genetic variations are very common, for most diseases this means we are unlikely to be able to predict the likelihood of developing disease in individual patients.

Apart from regular monitoring, we can use sensors to track the emergence of disease, detect exposure to harmful environmental elements, or even predict the likelihood of developing health problems based on patient medical records, family health history and public health data.

The sonographic findings as such cannot differentiate the various inflammatory spondylarthropathies. Tinazzi et al. [65] suggested that ultrasound can help to predict the likelihood of developing psoriatic arthropathy in patients with psoriasis based on sonographically visible but clinically asymptomatic tendon changes.

These serological markers help define distinct clinical subsets and can predict the likelihood of developing complications [ 39, 40] (Table 1).

Trait biomarkers are associated with underlying endophenotypes, which can be used to predict the likelihood of developing disease.

Various risk assessment algorithms, for example the Framingham Risk Score (FRS) and Systematic Coronary Risk Evaluation (SCORE), aim to predict the likelihood of developing cardiovascular events [ 4- 6].

Targeting PPIs is a relatively novel drug development strategy so computational approaches towards analysing the interface between protein partners and predicting the likelihood of developing a small molecule inhibitor are still progressing.

In this context, repeated measurement of such alterations and the rate of its accumulation may be particularly valuable in predicting the likelihood of developing lung cancer.

FINDRISC is a questionnaire consisting of eight questions, each one with a score, and predicts the likelihood of developing diabetes in the next 10 years.

Waist circumference predicts the likelihood of developing diabetes beyond that explained by commonly evaluated cardiometabolic risk factors and body mass index (BMI).

Thus, the power of such tests to predict the likelihood of the individual developing one of the common diseases is often uncertain.