
Tenured PI . Working on Light and energy replacement. Into anti-aging. Amateur ♟ Advisor for @TTIScience
Deutschland
Joined June 2013
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Clinical trials still move like it’s 1995.
A decade of waiting, $1–2 billion spent, and a 90%+ failure rate on a clunky, fragmented system.
ARPA-H’s SURPASS program is rethinking the entire clinical trial model.
Adaptive platforms, predictive models, real-time analysis, and AI will make trials faster and cheaper so treatments reach patients years earlier.
Ready to stop waiting? Learn more about SURPASS ➡️arpa-h.gov/explore-funding/p…
Shahaf Peleg 🌅 retweeted
Mitochondria tethered to the nucleus secure its energy supply nature.com/articles/d41586-0…
Shahaf Peleg 🌅 retweeted
The majority of axonal mitochondria in mammalian neurons lack mitochondrial DNA and do not produce ATP biorxiv.org/content/10.1101/…
Shahaf Peleg 🌅 retweeted
Papers like this are why science remains endlessly exciting. This one made me feel the same wonder I felt at 15 when I first discovered science. || Homing pigeon navigation relies on superparamagnetic macrophages under overcast conditions | Science science.org/doi/10.1126/scie…
Shahaf Peleg 🌅 retweeted
Mitochondria in our cells have their own genome. A new paper @nature shows it mutates sharply after age 60. Now rare, one day it might be common to receive a mito-transplant later in life 🧬 nature.com/articles/s41586-0…
Shahaf Peleg 🌅 retweeted
Biology inspired breakthrough in robotics and a reminder that living systems still have so much to teach us. Great advances may come when engineers learn more from biology, and biologists learn more from engineering 🤝
This is WILD!
MIT just solved one of the hardest unsolved problems in robotics (Save this).
For decades, the fundamental problem with soft robots and wearable exoskeletons has not been compute or AI, it has been actuation.
The moment you try to give a soft robot meaningful strength, you run into the same wall every engineer has hit since the field began, fluid-driven systems require external pumps, hydraulic reservoirs, and heavy infrastructure that makes the entire thing impractical to wear or embed into fabric.
MIT's new Electrofluidic Fiber Muscles solve that problem by eliminating external infrastructure entirely.
The key insight is electrohydrodynamic pumping using electric fields to generate pressure directly from electricity, with no moving parts, no motors, and no external fluid reservoir.
The fibers are less than 2 millimeters thick, can be woven into fabric like ordinary textile, and operate in complete silence because nothing physically moves inside them, it is just ions propelling fluid through a closed circuit.
The performance numbers published in Science Robotics are not conceptual, they are empirical results from actual hardware.
These fibers achieve a power density of 50 watts per kilogram, matching skeletal muscle, with a contraction strain of 20% and a response time of 0.3 seconds.
A single bundled configuration lifted 4 kilograms, 200 times its own weight while a separate configuration drove a robotic arm through a 40-degree bend compliant enough to safely complete a human handshake.
Another configuration launched objects in under 100 milliseconds, which is faster than a human flinch reflex.
The design mirrors biological muscle architecture in a way that prior artificial muscle approaches never achieved.
The fibers are organized into antagonistic pairs, one contracts while the other extends, exactly like biceps and triceps and because the system runs in a closed loop, the relaxing fiber serves as the fluid reservoir for the contracting one, which is what allows the whole system to operate untethered with no external tank.
The applications are not hypothetical but rather are the exact use cases the industry has been waiting years for the hardware to catch up to.
Exoskeletons for physical labor, prosthetic limbs that move with the natural compliance of biological tissue, assistive garments for patients with motor disorders, and soft robots capable of safe physical contact with humans are all immediately unlocked by a muscle technology that is silent, lightweight, and weavable into clothing.
The deeper significance is what this technology does when it meets the AI robotics wave that is already underway.
Every major humanoid robot program, Figure, 1X, Boston Dynamics, Tesla Optimus is currently bottlenecked by the same hardware limitations these fibers address, actuators that are too rigid, too loud, too heavy, or too dependent on infrastructure to operate naturally alongside humans.
Electrofluidic fiber muscles do not just solve a materials science problem but rather they remove one of the last physical barriers between robots that live in labs and robots that live in the world.
Shahaf Peleg 🌅 retweeted
I wrote something on aging, agency, and my why.
It starts with me being exactly the kind of teenager who wrote philosophy essays about Tolkien and ends with why I think aging shouldn’t be treated as fate
mariamarinova.com/writing/gi…
Shahaf Peleg 🌅 retweeted
Martin Picard published one of the most important papers in modern biology in 2025.
Almost no one outside a small circle of researchers has heard of it.
The Energy Resistance Principle may explain disease, aging & energy crashes — from first principles.
Here’s the framework:🧵
Shahaf Peleg 🌅 retweeted
REMOTE CONTROL MICE! A group from Seoul has just published in Cell that they’ve discovered a crazy-weird protein (Cyb5b) that can be used to turn on any gene when exposed to EMFs!
They used it to turn on OSK and extend the lifespan of a progeroid mouse. More to come on this…
Shahaf Peleg 🌅 retweeted
A new finding after stopping GLP-1 drugs in a large cohort with Type 2 diabetes: rapid erosion of CV benefit/protection
New @bmj_latest by @zalaly @Biostayan
bmjmedicine.bmj.com/content/…
See thread: xitter.cf/zalaly/status/20343230…
What happens to the heart when people stop GLP-1 drugs?
The short answer: nothing good.
New from our team: a study of 330,000+ people in @BMJMedicine
🧵
Shahaf Peleg 🌅 retweeted
Richard Feynman’s savage takedown of pseudo-science still burns in 2026:
“Social science is an example of a science which is not a science. They follow the forms… but they don’t get any laws. They haven’t found out anything.”
He goes harder:
Experts who “sit at a typewriter and make up” claims — “organic food is better,” “this diet cures everything” — as if it’s settled science, when no rigorous experiments or checks have been done.
Feynman:
“I know what it means to really know something.
How careful you have to be. How easy it is to fool yourself.
I see how they get their information… and I can’t believe that they know.”
The Nobel physicist calls it straight: most of what passes for “expert” opinion is noise dressed up as knowledge.
In an age drowning in TikTok “science,” influencers, and clickbait studies — Feynman’s 1:52 rant feels more relevant than ever.
Who’s the biggest pseudo-expert that grinds your gears right now?
Clip is timeless fire — watch it and feel the clarity.
Shahaf Peleg 🌅 retweeted
DR is the oldest intervention to extend max lifespan, and still the strongest we have for mammals. Yet after a century of research, many key questions remain. In our latest @TheFangGroupUiO paper with 310+ refs in @NatureAging we try to answer this... 🧵🧵
nature.com/articles/s43587-0…
Shahaf Peleg 🌅 retweeted
First test of partial epigenetic reprogramming to reverse aging for two eye conditions (glaucoma and NAION) gets FDA go ahead
@lifebiosciences Based on 2020 @Nature paper pubmed.ncbi.nlm.nih.gov/3326…
endpoints.news/exclusive-fda…
Shahaf Peleg 🌅 retweeted
ELON: AGING'S A SOLVABLE PUZZLE, BODY HAS A SYNC CLOCK FOR 35T CELLS
"I haven't put much time into the aging stuff.
It is a very solvable problem.
When we figure out what causes aging, we'll find it's incredibly obvious.
The reason I say it's not a solid thing is because all the cells in your body pretty much age at the same rate.
I've never seen someone with an old left arm and a young right arm ever in my life.
So why is that?
That means that there must be a clock, a synchronizing clock, that is synchronizing across 35 trillion cells in your body."
Source: @elonmusk
Shahaf Peleg 🌅 retweeted
‘Remote controlled’ proteins illuminate living cells
nature.com/articles/d41586-0…
@drmichaellevin @DocLarus
Shahaf Peleg 🌅 retweeted
This paper is wild. After 3 rounds of directed evolution, they converted a DNA polymerase into an enzyme that can do:
- RNA synthesis
- Reverse transcription
- Synthesis of "unnatural" nucleotides
- Synthesis of DNA-RNA chimeras
One of the best papers I’ve read recently.
For context: In nature, it is DNA polymerase that takes a DNA sequence as a template and then copies it. These enzymes are crucial in replicating the genome for cell division, and they are EXTREMELY specific for DNA over RNA. This is key because RNA nucleotides are present in the cell at concentrations ~100x higher than DNA nucleotides, so the enzyme has evolved clever strategies to select one over the other.
RNA polymerases, for comparison, are the enzymes that take a DNA sequence as template and then convert it into RNA. They are involved in gene expression, for example.
To convert a DNA polymerase into an RNA polymerase (and all the other functions I mentioned earlier), the authors did a fairly straightforward directed evolution experiment.
First, they took four DNA polymerase enzymes belonging to various archaea. These DNA polymerases don’t check for DNA vs. RNA as stringently as other types of cells, so they’re a good starting point to evolve RNA polymerases. The authors inserted some targeted mutations into these enzymes, based on known mutations in the literature. For example, they swapped the amino acid at position 409 for a smaller amino acid, thus removing a “gate” that keeps RNA building blocks from entering the enzyme.
Next, they took the four genes encoding these DNA polymerases and cut them up into 12 segments each. They randomly stitched these 12 segments together — from the four different genes — to build millions of unique variants. Each shuffled gene was inserted into an E. coli cell.
Then, they grew up these cells (each carrying a unique polymerase) and put them into microfluidic droplets. A device isolates each droplet, lyses the cell open, and releases the polymerase. The droplet also contains RNA building blocks and a DNA template, encoding a fluorescent reporter. If the polymerase begins synthesizing RNA, it will produce a detectable signal. They screened about 100 million droplets in 10 hours of work, searching for those with a signal.
For each well that yields a fluorescent signal, the researchers isolated the DNA and sequenced it to figure out which polymerase it was. They repeated this 3x times, finally isolating a really excellent RNA polymerase variant which they called "C28."
C28 has 39 mutations compared to the wildtype enzymes. It incorporates about 3.3 nucleotides of RNA per second, with 99.8% fidelity. The crazy thing is that this enzyme can also copy DNA or RNA templates back into DNA (reverse transcription), or use chimeric DNA-RNA molecules as a template and amplify them. It is just a super versatile polymerase that can act on DNA, RNA, or modified nucleotides, to build just about anything.
Shahaf Peleg 🌅 retweeted
Awesome video by @JellyfishDAO of people in the future looking back at our current acceptance of aging.
Brilliant 👏
Shahaf Peleg 🌅 retweeted
Unimaginable tragedy. A great person, chess player and chess history connoisseur. I could listen do Danya for hours just effortlessly bending the English language to his will - as a fellow content creator, I admired it greatly. R.I.P.
Shahaf Peleg 🌅 retweeted
Final version is out: aging as the result of loss of goal-directedness
advanced.onlinelibrary.wiley…
@BeneHartl @LPiolopez
"Although substantial advancements are made in manipulating lifespan in model organisms, the fundamental mechanisms driving aging remain elusive. No comprehensive computational platform is capable of making predictions on aging in multicellular systems. Focus is placed on the processes that build and maintain complex target morphologies, and develop an insilico model of multiscale homeostatic morphogenesis using Neural Cellular Automata (NCAs) trained by neuroevolution. In the context of this model: 1) Aging emerges after developmental goals are completed, even without noise or programmed degeneration; 2) Cellular misdifferentiation, reduced competency, communication failures, and genetic damage all accelerate aging but are not its primary cause; 3) Aging correlates with increased active information storage and transfer entropy, while spatial entropy distinguishes two dynamics, structural loss and morphological noise accumulation; 4) Despite organ loss, spatial information persists in tissue, implementing a memory of lost structures, which can be reactivated for organ restoration through targeted regenerative information; and 5) rejuvenation is found to be most efficient when regenerative information includes differential patterns of affected cells and their neighboring tissue, highlighting strategies for rejuvenation. This model suggests a novel perspective on aging caused by loss of goal-directedness, with potentially significant implications for longevity research and regenerative medicine."
Shahaf Peleg 🌅 retweeted
If we hope to understand aging, consciousness, or the body’s ability to heal, we must begin where all order begins....with energy.
Energy connects every scale of the natural world, from electrons to ecosystems, governed by the same physical laws. Biology has now gained a principle for how the movement of energy becomes organized into the dynamics of life.
The Energy Resistance Principle (ERP) proposes that resistance (éR) is what allows energy to take form - to be shaped, regulated, and transformed into the organized work and information that define our health.
Proud to have written this with @MitoPsychoBio .
Thinking energetically allows us to connect Physics and Physiology, to inspire new innovation in tools to detect and modulate the energetic patterns that mark health, disease, and recovery.
@Cell_Metabolism
Full link to paper: sciencedirect.com/science/ar…
How does energy keep us alive?
Our bodies are resistive energetic circuits where electrons flow from food→oxygen in our mitochondria. It's only through energy resistance (éR) - like electrical resistance - that transformation of energy into life is possible.
The Energy Resistance Principle ⎸ ERP explains how this happens. In this paper, we cover the implications of fine-tuning éR for health, disease, aging, and the human experiences make up the mind.
authors.elsevier.com/a/1luVK…
































