Q2. What can be used to help predict the typical dose in a specific patient?
Covariate information (e.g. weight, age, pathology, drug interactions, pharmacogenomics) can be used to help predict the typical dose in a specific patient, reducing population parameter variability.
Q3. What are the main factors that contribute to the normal maturation of the spinal cord?
112 Low threshold sensory input (such as touch), and spontaneous movements, contribute to activity-dependent normal maturation of sensori-motor circuits in the spinal cord.
Q4. What is the role of the gut microbiome in chronic gastrointestinal disorders?
The gut microbiome, for example, influences visceral sensitivity, either directly or via alterations in stress response and has been implicated in chronic gastrointestinal disorders in both children and adults.
Q5. What are the different types of injury that influence the patterns of behavioural sensitivity that are observed?
106 However, different forms of tissue damage (e.g. inflammation, surgical injury, visceral stimuli, nerve injury, chemotherapy) also have age-dependent mechanisms that influence the patterns of behavioural sensitivity that are observed.
Q6. Why are there so many initiatives to disseminate science?
Because of the need for reliable information and support, and now the technological possibility to provide it there are a growing number of initiatives to disseminate science more quickly to parents, healthcare professionals, and communities.
Q7. What can help us to reframe their future investigations?
Casting the problem as a social science, one in addition to a psychological or medical one, can help reframe their future investigations.
Q8. What is the need for countries or international efforts to develop similar networks to promote awareness of the problems?
There is also a need for countries or international efforts to develop knowledgemobilisation networks to promote awareness of the problems of pain, particularly in an everincreasing digitalised world where healthcare information is often just a click away.
Q9. How can the authors predict the magnitude of the difference between predictions and the observations in the next subject?
If the variability between patients is modelled, then it is possible to predict the magnitude of the difference between predictions and the observations in the next subject.