Top Tweets for #gerophysics
🎥 #AgingShort:
Abstract #video about a #meetingreport recently #published in Volume 18, titled “Foundations of Gerophysics.” @NUSingapore
🔗 https://t.co/zojXmC2V3P
#aging #PaperSpotlight #longevity #geroscience #biology #gerophysics #oa #peerreview #journal #publishing #meded
🔆 #PaperSpotlight:
A new #meetingreport was #published on May 14, 2026, titled “Foundations of Gerophysics.” @NUSingapore
🔗 https://t.co/zojXmC2V3P
#aging #quote #longevity #geroscience #biology #gerophysics #openaccess #peerreview #journal #publishing #meded
finally, #ardd conference has released the video covering my talk at their #Gerophysics session (the link is in the first comment, please like and repost - thank you!). As you may know, we frame aging through thermodynamics and the second law — viewing the body as a heat engine where metabolism inevitably produces "entropic damage" (irreversible, uncorrelated molecular-level insults like random DNA mutilations or chemical errors). This damage accumulates roughly linearly with time.
While physiological markers (e.g., recovery speed, variance in biomarkers, clinical aging clocks) often decline linearly or subexponentially, mortality increases exponentially (Gompertz law). We explain this discrepancy: linear entropic damage slowly erodes the "stability" of regulatory networks (the "free energy landscape" governing biological control), making the system increasingly sensitive to fluctuations ("noise").
Key Concepts Introduced:
* Entropic damage — irreversible, Poisson-like accumulation of uncorrelated errors (visible as a linear component in PCA of molecular/physiological data).
* Dynamic / correlated response — the body's pathways react in a correlated, exponential/hyperbolic way to stress (reversible component, e.g., improved by parabiosis in mice/dogs, but entropic damage itself is not reversed).
* Noise / fluctuations — unpredictable stress or variability (not chronic predictable stressors like smoking); this noise widens the gap between average and maximum lifespan. Low-noise individuals/animals show steeper mortality curves.
* Thermodynamic fidelity — how efficiently metabolism avoids creating damage (linked to metabolic rate and barrier heights in regulatory networks).
* Extreme statistics — aging drift is dominated by rare, large failures (Gumbel distribution), so small linear erosion of barriers → exponential mortality rise.
* Effective temperature — higher effective temperature (more noise/entropy production) accelerates instability.
Data Highlights:
* PCA on human/mouse/dog single-cell/multi-omics data shows two main aging signatures: linear (entropic/red) vs. exponential (dynamic/green).
* Parabiosis experiments reverse the dynamic signature but leave entropic damage untouched.
* Dog lifespan data: breeds with lower noise show higher Gompertz exponents (faster acceleration of mortality).
* Human max lifespan (~120 years) reflects the ultimate stability limit set by network topology and noise control, not just average damage levels.
Implications for Interventions:
* Targeting average biomarker levels (inflammation, etc.) has limited effect.
* Bigger gains likely from reducing noise/fluctuations since this may bridge the mean and the maximum lifespan in our species.
* Calls for "level-3" interventions that address these deeper control layers.
please help by pushing the like and repost buttons!
🐭 Could scientists have been getting it wrong all along?
In Ep. 6 of Decoding Longevity, @fedichev (@hacking_aging ) explains why animal models are misleading us—and what to do about it.
Hosted by @rv_sehgal& @MacsueJ
#Longevity #AgingScience #Gero #Gerophysics #DcodLongevity
Thank You so much to all the speakers, sponsors and attendees who joined the very first Global Conference on Gerophysics!
It was truly one of a kind and we look forward to seeing you somewhere in the world 🌍
#GCGP1st #Gerophysics
And with that we conclude our first GLOBAL CONFERENCE ON GEROPHYSICS! See you on the next one! @BKennedy_aging @MaxUnfried @jangruber467
#GCGP1st #Gerophysics
Congratulations to all poster award winners! Looking forward to seeing your progress in the next Gerophysics conference? 😜 #GCGP1st #Gerophysics
Panel discussion on “The Future of Gerophysics” with our pioneering experts @UriAlonWeizmann @fedichev @jangruber467 and Prof Marija Cvijovic, moderated by Sebastien Thuault, Chief Editor of Nature Aging.
#GCGP1st #Gerophysics
Dr Peter James Mullen of Uni South California on “Metabolic drivers of species ageing” #GCGP1st #Gerophysics
Prof @EeHouYong on “Understanding Evolution, Ageing, and Repair using Complex Network” #GCGP1st #gerophysics
Dr Leong Kim Whye on “Critical phenomenon associated with luminogenesis during ovarian follicle development” #GCGP1st #Gerophysics
Prof @nir_eynon on “Dynamic ways of quantifying the human ageing methylome and exercise rejuvenation” #GCGP1st #Gerophysics
#Gerophysics?
Can my space physics research background be useful for something health related?
We are about to begin! #GCGP1st #Gerophysics Our Organisers! @MaxUnfried @jangruber467 @BKennedy_aging
Prof Steffen Rulands of @rulandsgroup on “Stochasticity and memory in epigenetic ageing” #GCGP1st #Gerophysics
Starting our 2nd day strong!
We have Prof @aeteschendorff on “Physics in Ageing Biology: From applications to fundamental theories” #GCGP1st #Gerophysics
Had an amazing time at the 1-minute flash talk event! 🎤 Everyone brought their A-game, presenting their posters in just 60 seconds. It was a great way to connect, learn, and have fun! 🚀 #GCGP1st #Gerophysics
@Aging_Scientist on “Analysis of individual mouse survival data from large databases – insights and findings” #GCGP1st #Gerophysics
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