Quantitative Human Physiology
Directions
BIO 221
1
Diffusion
1.1
Approximation
1.2
Problems
1.2.1
Compute diffusion times for chemicals with known diffusion coefficients
1.2.2
Compute diffusion time for a chemical with an unknown diffusion coefficient
2
Nernst Potential
2.1
Electrical potentials
2.2
The Nernst potential
2.3
Electrochemical potential
2.4
Problem Set
2.5
Diving deeper
3
Muscle
3.1
A bottom-up model of muscle efficiency
3.2
A bottom-up model of whole-muscle force
3.3
Compute the effect of muscle architecture on whole muscle force
4
Skeleton
BIO 223
5
Blood
5.1
How to solve an estimation problem
5.2
Problem set
6
Immune
6.1
Combinations
6.2
Problem set
7
Cardiovascular
7.1
Background
7.2
Problems
8
Resipiratory – Why we need Hemoglobin
8.1
How much O2 can dissolve into blood?
9
Renal
9.1
A back of the envelope calculation of GFR
9.2
Using renal clearance to measure GFR in an indivudal
10
Digestion, Nutrition, and Metabolism
10.1
Estimating Causal Effects
10.2
Simulation 1
10.2.1
Step 1. Set up the parameters
10.2.2
Step 2. Generate fake data
10.2.3
Step 3. Fake data check
10.2.4
Step 4. Does a statistical model recover the known effect?
10.2.5
What you did
10.2.6
The model you fit is
10.3
Simulation 2
10.3.1
Step 5. Set up the parameters
10.3.2
Step 6. Generate fake data
10.3.3
Step 7. Fake data check
10.3.4
Step 8. Does a statistical model recover the known effect?
10.3.5
What’s going on is the whole point of this exercise
10.4
Questions
10.4.1
Simulation 1
10.4.2
Simulation 2
10.4.3
Simulation 2 with new parameters
11
Cancer
11.1
Numerical Self-Discovery
11.1.1
Step 1
11.1.2
Step 2
11.1.3
Step 3
11.1.4
Step 4
11.1.5
Step 5
11.1.6
Step 6
11.1.7
Step 7
11.2
Stuff to explore
11.2.1
Getting to know the model
11.2.2
A wee bit more to explore
11.2.3
Yet more stuff to explore
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Quantitative Human Physiology
BIO 223