Semalytics: a semantic analytics platform for the exploration of distributed and heterogeneous cancer data in translational research

wikidata 2022-05-14

Summary:

Each cancer is a complex system with unique molecular features determining its dynamics, such as its prognosis and response to therapies. Understanding the role of these biological traits is fundamental in order to personalize cancer clinical care according to the characteristics of each patient's disease. To achieve this, translational researchers propagate patients' samples through in vivo and in vitro cultures to test different therapies on the same tumor and to compare their outcomes with...

Link:

https://pubmed.ncbi.nlm.nih.gov/31287543/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VSjW0JqT_vVo4exSnaEa8DS8viTn4bOW9m_0JY8UcVGX5Esjj&fc=20220129234853&ff=20220514092123&v=2.17.6

From feeds:

📚BioDBS Bibliography » wikidata

Tags:

Authors:

Andrea Mignone, Alberto Grand, Alessandro Fiori, Enzo Medico, Andrea Bertotti

Date tagged:

05/14/2022, 09:21

Date published:

07/10/2019, 06:00