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Featured researches published by Ilia Stambler.


Aging and Disease | 2015

The Critical Need to Promote Research of Aging and Aging-related Diseases to Improve Health and Longevity of the Elderly Population

Kunlin Jin; James W. Simpkins; Xunming Ji; Miriam Leis; Ilia Stambler

Due to the aging of the global population and the derivative increase in aging-related non-communicable diseases and their economic burden, there is an urgent need to promote research on aging and aging-related diseases as a way to improve healthy and productive longevity for the elderly population. To accomplish this goal, we advocate the following policies: 1) Increasing funding for research and development specifically directed to ameliorate degenerative aging processes and to extend healthy and productive lifespan for the population; 2) Providing a set of incentives for commercial, academic, public and governmental organizations to foster engagement in such research and development; and 3) Establishing and expanding coordination and consultation structures, programs and institutions involved in aging-related research, development and education in academia, industry, public policy agencies and at governmental and supra-governmental levels.


Computer Methods and Programs in Biomedicine | 2009

Comparative analysis of cell parameter groups for breast cancer detection

David Blokh; Ilia Stambler; Elena Afrimzon; Max Platkov; Yana Shafran; Eden Korech; Judith Sandbank; Naomi Zurgil; Mordechai Deutsch

We present a method for the comparative analysis of parameter groups according to their correlation to disease. The theoretical basis of the proposed method is Information Theory and Nonparametric Statistics. Normalized mutual information is used as the measure of correlation between parameters, and statistical conclusions are based on ranking. The fluorescence polarization (FP) parameter is considered as the principal diagnostic characteristic. The FP was measured in fluorescein diacetate (FDA)-stained individual peripheral blood mononuclear cells (PBMC), derived from healthy subjects and breast cancer (BC) patients, under different stimulation conditions: by tumor tissue, the mitogen phytohemagglutinin (PHA) or without the stimulants. The FP parameters were grouped according to their correlation with breast cancer. It was established that the greatest difference between cells of BC patients and healthy subjects is found in the PHA test (parameter P1).


Progress in Neurobiology | 2017

The application of information theory for the research of aging and aging-related diseases

David Blokh; Ilia Stambler

This article reviews the application of information-theoretical analysis, employing measures of entropy and mutual information, for the study of aging and aging-related diseases. The research of aging and aging-related diseases is particularly suitable for the application of information theory methods, as aging processes and related diseases are multi-parametric, with continuous parameters coexisting alongside discrete parameters, and with the relations between the parameters being as a rule non-linear. Information theory provides unique analytical capabilities for the solution of such problems, with unique advantages over common linear biostatistics. Among the age-related diseases, information theory has been used in the study of neurodegenerative diseases (particularly using EEG time series for diagnosis and prediction), cancer (particularly for establishing individual and combined cancer biomarkers), diabetes (mainly utilizing mutual information to characterize the diseased and aging states), and heart disease (mainly for the analysis of heart rate variability). Few works have employed information theory for the analysis of general aging processes and frailty, as underlying determinants and possible early preclinical diagnostic measures for aging-related diseases. Generally, the use of information-theoretical analysis permits not only establishing the (non-linear) correlations between diagnostic or therapeutic parameters of interest, but may also provide a theoretical insight into the nature of aging and related diseases by establishing the measures of variability, adaptation, regulation or homeostasis, within a system of interest. It may be hoped that the increased use of such measures in research may considerably increase diagnostic and therapeutic capabilities and the fundamental theoretical mathematical understanding of aging and disease.


Aging and Disease | 2017

Recognizing Degenerative Aging as a Treatable Medical Condition: Methodology and Policy

Ilia Stambler

It is becoming increasingly clear that in order to accomplish healthy longevity for the population, there is an urgent need for the research and development of effective therapies against degenerative aging processes underlying major aging-related diseases, including heart disease, neurodegenerative diseases, type 2 diabetes, cancer, pulmonary obstructive diseases, as well as aging-related complications and susceptibilities of infectious communicable diseases. Yet, an important incentive for the research and development of such therapies appears to be the development of clinically applicable and scientifically grounded definitions and criteria for the multifactorial degenerative aging process (or “senility” using the existing ICD category), underlying those diseases, as well as for the safety and effectiveness of interventions against it. Such generally agreed definitions and criteria are currently absent. The devising of such criteria is important not only for the sake of their scientific value and their utility for the development of therapeutic solutions for the aging population, but also to comply with and implement major existing national and international programmatic and regulatory requirements. Some methodological suggestions and potential pitfalls for the development of such criteria are examined.


The European Legacy | 2006

Heroic Power in Thomas Carlyle and Leo Tolstoy

Ilia Stambler

This paper explores two opposed paradigmatic approaches to heroic power: Thomas Carlyles versus Leo Tolstoys. In On Heroes, Hero Worship and the Heroic in History (1840), Carlyle argues for its crucial importance, whereas in War and Peace (1869), Tolstoy denies its very possibility. Carlyles heroic model attributes to the hero (the leader) a high degree of mastery and control over social and political circumstances, whereas Tolstoys a-heroic model implies a small degree of personal mastery and much greater constraints on the individual leader. Both models achieved prominence in the wake of the Napoleonic Wars, which brought the role of the individual (hero) in history to the forefront of intellectual and political debate throughout Europe. The two models are shown as parts of and important links in long-established traditions; they are internally coherent yet totally contradictory of each other. The comparison of these opposed perceptions of heroic figures in history suggests that they might originate in an ambivalent, polarized perception of power and mastery, and in the sense of individual insecurity in the face of historical upheavals.


Aging and Disease | 2018

Aging health and R & D for healthy longevity must be included into the WHO work program

Ilia Stambler; Kunlin Jin; Stephanie Lederman; Nir Barzilai; S. Jay Olshansky; Emem Omokaro; Jane Barratt; Vladimir N. Anisimov; Suresh I. S. Rattan; Shaohua Yang; Michael J. Forster; Julie Byles

Department of Science, Technology and Society, Bar Ilan University, Israeli Longevity Alliance, and Vetek (Seniority) Association the Senior Citizens Movement, Israel. Department of Pharmacology and Neuroscience, Institute for Healthy Aging, University of North Texas, USA. International Society on Aging and Disease, Texas, USA. American Federation for Aging Research, New York, USA. Institute for Aging Research, Albert Einstein College of Medicine, New York, USA. The School of Public Health at the University of Illinois at Chicago, Illinois, USA. African Society for Ageing Research and Development, and Gerontology Association of Nigeria, Nigeria International Federation on Ageing, Toronto, Canada. The Gerontological Society of the Russian Academy of Sciences and Russian Academy of Sciences, SaintPetersburg, Russian Federation. Biological Section, International Association of Gerontology and Geriatrics (European Region, IAGG-ER). Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark. International Longevity Centre-Australia, and Faculty of Health, The University of Newcastle, Australia


GeroScience | 2017

The application of information theory for the estimation of old-age multimorbidity

David Blokh; Ilia Stambler; Emilia Lubart; Eliyahu Mizrahi

Elderly patients are commonly characterized by the presence of several chronic aging-related diseases at once, or old-age “multimorbidity,” with critical implications for diagnosis and therapy. However, at the present there is no agreed or formal method to diagnose or even define “multimorbidity.” There is also no formal quantitative method to evaluate the effects of individual or combined diagnostic parameters and therapeutic interventions on multimorbidity. The present work outlines a methodology to provide such a measurement and definition, using information theoretical measure of normalized mutual information. A cohort of geriatric patients, suffering from several age-related diseases (multimorbidity), including ischemic heart disease, COPD, and dementia, were evaluated by a variety of diagnostic parameters, including static as well as dynamic biochemical, functional-behavioral, immunological, and hematological parameters. Multimorbidity was formally coded and measured as a composite of several chronic age-related diseases. The normalized mutual information allowed establishing the exact informative value of particular parameters and their combinations about the multimorbidity value. With the currently intensifying attempts to reduce aging-related multimorbidity by therapeutic interventions into its underlying aging processes, the proposed method may outline a valuable direction toward the formal indication and evidence-based evaluation of effectiveness of such interventions.


Frontiers in Genetics | 2015

Has aging ever been considered healthy

Ilia Stambler

The current research topic inquires: “Should we treat aging as a disease?” Yet, in this inquiry, the question “Can aging be considered a disease?” is secondary, while the more primary question really must be “Is aging treatable?” Paradoxically, the answer given to the second question largely determines the answer to the first. The perceived unchangeable, and hence untreatable, nature of aging is the root cause for many subsequent rationalizations, even to the point of claiming the desirability of aging-derived suffering and death. This is a well recognized psychological phenomenon sometimes referred to as “apologism” (Gruman, 1966) or even “deathism,” a ramification of the “sour grapes syndrome,” vilifying something that we think we cannot attain, while accepting as “good” or “healthy” something that we believe is inevitable for us (such as degenerative aging). Yet, I argue that, historically, medical tradition has always recognized the morbid character of aging and endeavored to fight it. The rationalizations of aging as “natural,” “justified,” or “healthy” could never entirely prevail.


Advances in Gerontology | 2015

Elie Metchnikoff—The founder of longevity science and a founder of modern medicine: In honor of the 170th anniversary

Ilia Stambler

The years 2015–2016 mark a double anniversary—the 170th anniversary of birth and the 100th anniversary of death—of one of the greatest Russian scientists, a person that may be considered a founding figure of modern immunology, aging, and longevity science—Elie Metchnikoff (May 15, 1845–July 15, 1916). At this time of rapid aging of the world population and the rapid development of technologies that may ameliorate degenerative aging processes, Metchnikoff’s pioneering contribution to the search for anti-aging and healthspan-extending means should be recalled and honored.


Cancer Detection and Prevention | 2007

The information-theory analysis of Michaelis-Menten constants for detection of breast cancer.

David Blokh; Ilia Stambler; Elena Afrimzon; Yana Shafran; Eden Korech; Judith Sandbank; Ruben Orda; Naomi Zurgil; Mordechai Deutsch

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Kunlin Jin

University of North Texas

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