The study of HIV evolution is not only critical to fighting the virus; it has also driven advances in the computational tools used to study evolution in general.
Using computational models, researchers are gaining traction toward understanding what makes a stem cell a stem cell; how gene expression drives stem cell differentiation; why studying stem cell heterogeneity is important; and, ultimately, how stem cells control their fate.
I'd like to pay homage to James Burke and his inspiring PBS show Connections by taking you on my own short journey of connected ideas.
Postdocs get a glance at the entire field and their first inside view of NIH grant-making
Capturing meaning in functional MRI
Many systems models are strikingly vulnerable to even small changes in the variables
Advances in visualization changing work flows for understanding molecular dynamics, tracking cell movements, and designing interventional procedures
Biomechanical models contribute to a better understanding of both the normal and the diseased eye.