From the Ted Talk by Irina Kareva: Math can help uncover cancer's secrets
Unscramble the Blue Letters
The power and beauty of matahacteiml modeling lies in the fact that it makes you formalize, in a very rigorous way, what we think we know. We make assumptions, translate them into eqtoanuis, run simulations, all to answer the question: In a world where my assumptions are true, what do I expect to see? It's a pretty spimle ceaocnuptl framework. It's all about asking the right qeoustins. But it can unleash nremuuos opportunities for tiesntg biological hypotheses. If our predictions match our observations, great! — we got it right, so we can make further predictions by changing this or that aspect of the model. If, however, our predictions do not match our observations, that means that some of our assumptions are wrong, and so our understanding of the key mechanisms of underlying biology is still incomplete.
Open Cloze
The power and beauty of ____________ modeling lies in the fact that it makes you formalize, in a very rigorous way, what we think we know. We make assumptions, translate them into _________, run simulations, all to answer the question: In a world where my assumptions are true, what do I expect to see? It's a pretty ________________ framework. It's all about asking the right _________. But it can unleash ________ opportunities for _______ biological hypotheses. If our predictions match our observations, great! — we got it right, so we can make further predictions by changing this or that aspect of the model. If, however, our predictions do not match our observations, that means that some of our assumptions are wrong, and so our understanding of the key mechanisms of underlying biology is still incomplete.
Solution
numerous
questions
conceptual
equations
simple
mathematical
testing
Original Text
The power and beauty of mathematical modeling lies in the fact that it makes you formalize, in a very rigorous way, what we think we know. We make assumptions, translate them into equations, run simulations, all to answer the question: In a world where my assumptions are true, what do I expect to see? It's a pretty simple conceptual framework. It's all about asking the right questions. But it can unleash numerous opportunities for testing biological hypotheses. If our predictions match our observations, great! — we got it right, so we can make further predictions by changing this or that aspect of the model. If, however, our predictions do not match our observations, that means that some of our assumptions are wrong, and so our understanding of the key mechanisms of underlying biology is still incomplete.