These non-human models may help us to understand how our own bodies change over time.
Further refinement phylogenetic models may help us better understand internal relationships among these diverse organisms.
Overall, these derived models may help to design novel DPPE derivatives with better CETP inhibitory activity.
These models may help to accelerate translational research in cancer biology and tissue engineering.
These models may help defining plans for improvement that require less effort from the DMUs.
Such mathematical models may help biologists deduce culprits of change, he continued, adding, "It also suggests that caution is really, really important".
In this sense, computational models may help to improve the development of mechanical-based treatments for bone fracture healing.
Of particular interest is the way that these models may help engineers to visualise the consequences of different designs.
Virtual models may help very much in balancing the conflicting requirements, but models must be validated to be reliable.
In the early days of an outbreak, such models may help officials decide which routes to cancel to contain a virus.
Toward this end, it has been suggested that computational models may help hasten this process by enabling time-efficient parametric studies that can reduce the experimental search space.
