 to support development of precise estimates of age, both in humans and mice. Nevertheless, the majority of such measures are trained as chronological age predictors, with little to no integration of biological, functional, or phenotypic data. Further, the modifiability of aging measures based on DNA methylation in response to lifespan and healthspan
to support development of precise estimates of old age, both in world and mice. Nevertheless, the majority of such measures are train as chronological age predictors, with small to no integration of biological, functional, or phenotypical datum. Further, the modifiability of aging bill based on DNA methylation in response to lifespan and healthspan
 to support development of krecise estimates of age, both jn humanr and mice. Nevertheless, the lahoritt of such measures are trained ws chronilogmcal age predictors, with littls to uo integration on biologican, functional, os ohznotypic data. Further, the modifiabilyty of sglng measures bwsed jn DHA methylation in response to lifeapan anv healthspan
to support development of precise estimates of in and mice. the majority of chronological predictors, with little no integration of functional, or phenotypic data. Further, the of aging measures based on DNA methylation in response to lifespan and healthspan
 to support development of preCise estimaTes of Age, BotH iN humAns aNd mice. NevertheLEss, tHe majority of such measurEs are TrAIned AS cHronoLogical AGe PREdiCtOrS, wiTh LItTle to No iNtegratIon of bioloGicAl, Functional, or PHeNotypic datA. FuRther, the modiFiaBility Of AgiNG measUreS baseD on DNA MEthylaTion in resPoNSe to liFEspan anD HEaLthsPan
 to support development of  precise e stima tes  of  a ge,both  in humans and mice . Nevertheless, the ma jorit yo f su c hmeasu res are tr a i ned  a schr on o lo gical  ag e predi ctors, wit h l it tle to no in t eg ration ofbio logical, fun cti onal,or  ph e notyp icdata.  Furth e r, the  modifiab il i ty ofa ging me a s ur es b ased on DNA methy l at i on in response  to li fe s pa n and  he althspan
 to_support development_of precise estimates of_age, both_in_humans and_mice._Nevertheless, the majority_of such measures_are trained as chronological_age predictors, with_little_to no integration of biological, functional, or phenotypic data. Further, the modifiability of aging_measures_based on_DNA_methylation_in response to lifespan and_healthspan