This summary covers all the important parts of the Research course in the first semester. Among other things, modelling, measurement errors, enzymes, signals, statistics, etiology and genetics are covered.
Summery Research Semester 1 Veron Janssen
Q1
Modelling
Modelling = empirical science, where you make a model out of data. It is a
simplification of reality.
- Whether an idea is correct is not determined by how well it is formulated, but
by whether it is confirmed by observations.
- Provides a way to describe different observations as expressions of the same
underlying principle and to predict observations in experiments.
Dynamic systems = state of the system at time t and before.
- Output depends on input before time
- Has a memory
- Capable of action/change
- The equation has a derivative1
- Most biomedical systems are dynamic
Static systems = state of the system at time t.
- Depends only on input at time t
- Has no memory
- Stationary/fixed no change
- The equation has no derivative
Compartment model = model of the human body.
- D = doses = how many pills you put in
- Efflux = how many mg/ЧL is going out
o How larger the concentration, how larger the efflux.
o Depends on the capacity of the body to get rid of the drug.
- Change = in – out
Parameters = properties of the system
1
Derivative = afgeleide
, - Constant
- By changing the parameter, you will change the behaviour of the model.
Variable = state of the system
- Changeable during simulation
Parameter Variable
Clearance (k) Drug concentration (c)
Volume compartment (V) Amount of drug (M)
Efflux (Ψ)
Dosis velocity (D)
d
V c(t) = – k*c(t)
dt
- V = volume compartment
d
- = how fast things change (afgeleide)
dt
- c = concentration of the drug
- k = clearance (L/hr) = how well the body can get rid of the drug
The change in concentration depends on:
- Properties of the body (V + k)
- Dose velocity (D(t))
- Concentration (c(t))
d
V c(t) = D(t) – k*c(t)
dt
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