We used physical activity records from NHANES to compare three increasingly accurate biological age models: the unsupervised PCA score, a multivariate linear regression, and a state-of-the-art deep CNN.
We introduced a novel way to train parametric proportional hazards models and produced a deep CNN for mortality risks prediction that outperformed any of the biological age or a simple linear proportional hazards model.Read more →
In this study, we tested the robustness of determination of frequently used mortality curves parameters: the initial mortality rate, the rate of aging, and lifespan. We showed that for typical experimental cohorts only lifespan is a well-defined quantity, whereas the other two are spuriously correlated.Read more →
In this study, we relate lifelong instability of gene networks to aging and the Gompertz law of mortality. Stability of gene regulatory networks may be a key determinant of longevity. Be the repair systems sufficiently effective, the gene network can stabilize gene damage along with mortality of the organism. An example of this is negligible senescent species that do not alter their gene-expression profiles with age as much as other organisms do, and have age-independent mortality. Read more →
EXTRACTING BIOLOGICAL AGE FROM BIOMEDICAL DATA VIA DEEP LEARNING: TOO MUCH OF A GOOD THING?
T. Pyrkov, K. Slipensky, M. Barg, A. Kondrashin, B. Zhurov, A. Zenin, M. Pyatnitskiy, L. Menshikov, S. Markov, P. Fedichev
STREHLER-MILDVAN CORRELATION IS A DEGENERATE MANIFOLD OF GOMPERTZ FIT
A. Tarkhov, L. Menshikov, P. Fedichev
STABILITY ANALYSIS OF A MODEL GENE NETWORK LINKS AGING, STRESS RESISTANCE, AND NEGLIGIBLE SENESCENCE
V. Kogan, I. Molodtsov, L. Menshikov, R. J. Shmookler Reis, P. Fedichev
Accumulation of molecular damage is suggested to be an important molecular mechanism of aging. And yet a quantitative link between the dynamics of damage accumulation and mortality of species has so far remained elusive. We examined stability properties of a generic gene regulatory network (GRN) and demonstrated that many characteristics of aging and the associated population mortality rate emerge as inherent properties of the critical dynamics of gene regulation and metabolic levels. Read more →
CRITICAL DYNAMICS OF GENE NETWORKS IS A MECHANISM BEHIND AGING AND GOMPERTZ LAW
D. Podolskiy, I. Molodtcov, A. Zenin, V. Kogan, L. I. Menshikov, V. Gladyshev, R. J. Shmookler Reis, P. Fedichev