BALTIMORE, Md. - November 10, 2015 - In a paper recently published in Frontiers in Genetics, scientists at Insilco Medicine highlight the need for more granular and applied classification of aging in the context of the 11th World Health Organization's (WHO) International Statistical Classification of Diseases and Related Health Problems (ICD-11) expected to be finalized in 2018.
The paper explores the evolution of disease classification practices and the progress made since William Cullen's seminal Nosolagae Methodicae synopsis published in 1769. It discusses some of the additions to the ICD-10 including some of the less obvious conditions like obesity that may set the precedent for classifying aging as a disease.
While there is clear disagreement among demographers, gerontologists and biogerontologists on the subject, classification of aging as a disease is likely to unite both scientists and medical practitioners in the effort to prevent the pathological age-related processes and attract more resources to aging research.
In part, the report calls for creating a task force of scientists to more thoroughly evaluate whether to provide a more granular and actionable classification of aging as a disease in ICD-11.
"Aging is a complex multifactorial process leading to loss of function and a very broad spectrum of diseases. While the notion of whether aging itself is a disease is usually disputed, classifying it as such will help shift the focus of biomedicine from treatment to prevention. Classifying aging as a disease with multiple 'non-garbage' ICD codes may help create business cases for large pharmaceutical companies to focus more R&D resources on this important field. Considering the unprecedented increases in life expectancy and the heavy burden of medical costs in the developed countries, maintaining the human body in the disease-free youthful state for as long as possible is not just an altruistic cause, but a pressing economic necessity", said Alex Zhavoronkov, PhD, CEO of Insilico Medicine, Inc.
The paper is available online via the Frontiers open access system at http://journal.
Zhavoronkov A and Bhullar B (2015) Classifying aging as a disease in the context of ICD-11. Front. Genet. 6:326. doi: 10.3389/fgene.2015.00326
About Insilico Medicine Inc.
Insilico Medicine Inc. is a Baltimore-based company utilizing advances in deep learning and big data analysis for in silico drug discovery and drug repurposing for aging and age-related diseases. The company utilizes the GeroScope(TM), OncoFinder(TM), Pathway Cloud Intelligence(TM) and PharmAtlas(TM) packages for aging and cancer research, pursues internal drug discovery programs, and provides services to pharmaceutical companies and academic institutions.