By applying the strengths of corporate models for effective teamwork, academic scientists can drive transdisciplinary research and accelerate biomedical translation.
Transdisciplinary (TD) investigations occur when individuals or teams from different disciplines converge to conduct research focused on solving a specific problem that cannot be solved by a single discipline. Working at the intersections of disciplines allows TD research teams to create new science while fostering a higher plane of enquiry—the unearthing of solutions to complex human health and societal problems. Academic medical centers are strategically positioned to drive local, national, and global TD biomedical research. However, academia’s disciplinary-bound culture—organized physically and conceptually around specific content areas—limits TD research and challenges scientists who are working within a university’s traditional department-based organization. In quest of solutions, we explore the characteristics of high-performing corporate teams that might be adapted for use in academic TD research and discuss the premise that collaborations between academic and industry teams present opportunities to harness the unique strengths of each.
Dmitry Alexeev's insight:
impressive how this is inline with what we are doing now in our team and it thought to the basis of interdisplinary research
Several technical challenges in metagenomic data analysis, including assembling metagenomic sequence data or identifying operational taxonomic units, are both significant and well known. These forms of analysis are increasingly cited as conceptually flawed, given the extreme variation within traditionally defined species and rampant horizontal gene transfer. Furthermore, computational requirements of such analysis have hindered content-based organization of metagenomic data at large scale.
How can runners improve their performance, weight and fitness? Researchers have produced a mathematical model to optimize running, which could lead to personal e-coaching customized to each individual's physiological state. It also confirms a well-known fact in the sports community: runners who vary their speed spend their energy better and thus run longer. Mathematics gives them the opportunity to switch from simple statistical tools to personalized sporting advice.
Despite identifying abundant genes capable of conferring antibiotic resistance in soil microorganisms, a study finds that few are shared by human pathogens and that there is little transfer of the genes within the soil communities. See Letter p.612
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Dmitry Alexeev's insight:
having a lot of data on metaaproteomics we are out to search all the possibilities data can provide