Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#Neurodegenerative diseases are incurable and debilitating indications with huge social and economic impact, where much is still to be learnt about the underlying molecular events. Mechanistic disease models could offer a knowledge framework to help decipher the complex interactions that occur at molecular and cellular levels. This motivates the need for the development of an approach integrating highly curated and heterogeneous data into a disease model of different regulatory data layers. Although several disease models exist, they often do not consider the quality of underlying data. Moreover, even with the current advancements in semantic b technology,  still do not have cure for complex diseases like Alzheimer’s disease. One of the key reasons accountable for this could be the increasing gap beten generated data and the derived knowledge.
['Anandhi Iyappan', 'Shweta Bagewadi Kawalia', 'Tamara Raschka', 'Martin Hofmann-Apitius', 'Philipp Senger']
I am writing a research paper on a idea NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's disease
[{"from": "human", "value": "I am writing a research paper on a idea NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's disease"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#Neurodegenerative diseases are incurable and debilitating indications with huge social and economic impact, where much is still to be learnt about the underlying molecular events. Mechanistic disease models could offer a knowledge framework to help decipher the complex interactions that occur at molecular and cellular levels. This motivates the need for the development of an approach integrating highly curated and heterogeneous data into a disease model of different regulatory data layers. Although several disease models exist, they often do not consider the quality of underlying data. Moreover, even with the current advancements in semantic b technology,  still do not have cure for complex diseases like Alzheimer\u2019s disease. One of the key reasons accountable for this could be the increasing gap beten generated data and the derived knowledge."}]