Computational modelling and Epidemiology

Section edited by Michael N. Liebman and Sabrina Molinaro

This section aims to allow rapid communication of methods and results that utilize computational modeling and epidemiologic approaches in translational medicine. The focus will be on population-based studies that extend towards more molecular level analysis. Submission of studies involving methods development is encouraged where actual application and results can be shown in the healthcare and life sciences domains. Among the approaches highlighted in this section are data-mining for health impact, data modeling, health record system design, applications of epidemiologic analysis, public policy evaluation, hypothesis evaluation and testing, risk assessment in healthcare and life sciences. These articles will describe the perspective on translational medicine where the approach and results reflect the computational modeling and epidemiologic aspects of this emerging area of research.

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  1. Research

    Nonspecific changes in clinical laboratory indicators in unselected terminally ill patients and a model to predict survival time based on a prospective observational study

    The clinical prediction of survival is among the most challenging tasks because it refers to the process whereby the medical team assimilates clinical data using subjective methods. The purpose of this prospec...

    Liu Hui, Liu Qigui, Ren Sashuang, Liu Xiliang and Luan Guihong

    Journal of Translational Medicine 2014 12:78

    Published on: 22 March 2014

  2. Research

    Genetic mutations in nonsyndromic deafness patients of Chinese minority and han ethnicities in Yunnan, China

    Each year in China, 30,000 babies are born with congenital hearing impairment. However, the molecular etiology of hearing impairment in the Yunnan Province population where more than 52 minorities live has not...

    Feng Xin, Yongyi Yuan, Xiaoming Deng, Mingyu Han, Guojian Wang, Jiandong Zhao, Xue Gao, Jun Liu, Fei Yu, Dongyi Han and Pu Dai

    Journal of Translational Medicine 2013 11:312

    Published on: 17 December 2013

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