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Dana-Farber research leads to better understanding of immune system in kidney cancer
Two research papers highlight single-cell dissection of kidney tumors to identify new immunotherapy treatments and targets
In the last two decades, immunotherapy has emerged as a leading treatment for advanced renal carcinoma cancer (more commonly known as kidney cancer). This therapy is now part of the standard of care, but it doesn’t work for all patients, and almost all patients, no matter how they respond initially, become more resistant to treatment over time. The immune system plays a critical role in kidney cancer disease progression and in response to therapies, and so a fundamental challenge in the field is to understand the underlying “immune circuitry” of this disease.
Dana-Farber research leads to better understanding of the immune system in kidney cancer eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.
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IMAGE: Danish Centre for Studies in Research and Research Policy at Aarhus BSS, Aarhus University view more
Credit: Aarhus University
In the span of only 15 years, a small academic elite has increased its share of academic citations significantly. In the year 2000, 14 per cent of all citations went to the top one percent of the most cited researchers. New research shows that this figure had risen to 21 per cent in 2015.
The people behind these remarkable findings are senior researcher Jens Peter Andersen, Danish Centre for Studies in Research and Research Policy (CFA) at Aarhus BSS, Aarhus University, and associate professor Mathias Wullum Nielsen (former CFA, now University of Copenhagen). Their examination of almost 26 million scientific papers and four million authors has just been published in the well-established interdisciplinary journal
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The ever-increasing size of wind turbines, with blade span exceeding 160 meters and heights of more than 220 meters, requires more and more attention to accurately modeling the atmospheric turbulent flow through wind farms in order to optimize the energy output of the giant rotors.
Over the past two decades, numerical simulations of wind farms using computational fluid dynamics (CFD) have received a great deal of attention. Although high-fidelity numerical techniques can provide detailed information about wind-farm-atmosphere interactions, they are not yet feasible to be used in the design, optimization, and real-time applications due to their high computational complexity.
A new research project led by Aarhus University aims to change that: