Scientific workflows represent complex computational experiments conducted by scientists focused at identifying and addressing scientific problems across diverse subject domains such as Quantum Chemistry simulations [1], Astrophysics [2], Heliophysics [3] and Neuroimaging data analysis [4].
Additionally, the follow-up visits will be specifically focused at identifying the onset of major health-related events (in particular pneumonia) occurred during the previous 6 months of follow-up.
The SRL is an interesting way for designing systematic reviews, as we are focusing at identifying, evaluating, and comparing available published articles associated to a particular topic area of interest for answering a specific scientific question.
Future research should focus on identifying patients at risk for long-term functional limitations and the design of rehabilitation interventions tailored to individual patient needs.
Research should also focus on identifying individuals at greater risk of later poor health and develop strategies aimed at these specific individuals.
Efforts should focus on identifying individuals at highest risk of complication and targeting them with early diagnosis and effective preventive measures.
For example, a public health approach may focus on identifying those at the highest risk to reduce associated complications (i.e., diabetic ketoacidosis), whereas a research study may need to identify high-risk children prior to seroconversion to assess potential triggers of autoimmunity.
The 2010 American College of Rheumatology (ACR) / European League Against Rheumatism (EULAR) updated classification criteria for rheumatoid arthritis (RA) focus on identifying patients at early disease stage. 1 They facilitate early implementation of RA disease-modifying therapy, which has been associated with improved clinical and structural outcomes.
These studies significantly focus efforts aimed at identifying central gene regulatory pathways that mediate atherosclerotic disease, and the identification of classification gene sets offers unique insights into potential diagnostic and therapeutic strategies in atherosclerotic disease.
Currently, most genome-wide expression studies focus on identifying coordinated genes at the mRNA level, extracting gene clusters and inferring gene regulatory networks [ 1- 5].
