| Title |
Inverse problems from biomedicine
|
|---|---|
| Published in |
Journal of Mathematical Biology, April 2012
|
| DOI | 10.1007/s00285-012-0523-z |
| Pubmed ID | |
| Authors |
James Lu, Elias August, Heinz Koeppl |
| Abstract |
Many complex diseases that are difficult to treat cannot be mapped onto a single cause, but arise from the interplay of multiple contributing factors. In the study of such diseases, it is becoming apparent that therapeutic strategies targeting a single protein or metabolite are often not efficacious. Rather, a systems perspective describing the interaction of physiological components is needed. In this paper, we demonstrate via examples of disease models the kind of inverse problems that arise from the need to infer disease mechanisms and/or therapeutic strategies. We identify the challenges that arise, in particular the need to devise strategies that are robust against variable physiological states and parametric uncertainties. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 10% |
| Brazil | 1 | 5% |
| Unknown | 17 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 4 | 20% |
| Researcher | 4 | 20% |
| Student > Ph. D. Student | 4 | 20% |
| Student > Bachelor | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 6 | 30% |
| Computer Science | 3 | 15% |
| Agricultural and Biological Sciences | 3 | 15% |
| Engineering | 2 | 10% |
| Medicine and Dentistry | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2012.
All research outputs
#15,243,549
of 22,665,794 outputs
Outputs from Journal of Mathematical Biology
#331
of 655 outputs
Outputs of similar age
#103,124
of 161,882 outputs
Outputs of similar age from Journal of Mathematical Biology
#5
of 8 outputs
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