InnovativeBioresearchðŸ‡ŪðŸ‡đ

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InnovativeBioresearchðŸ‡ŪðŸ‡đ

InnovativeBioresearchðŸ‡ŪðŸ‡đ

@InnBioresearch

INNBC Chain | High-speed L1 Blockchain 🧎 Pioneering #DeSci & Gaming. Official upgrade of the legacy $INNBC 2018 asset #L1 #Web3

Milan, Italy āđ€āļ‚āđ‰āļēāļĢāđˆāļ§āļĄ Ocak 2018
1.2K āļāļģāļĨāļąāļ‡āļ•āļīāļ”āļ•āļēāļĄ20.1K āļœāļđāđ‰āļ•āļīāļ”āļ•āļēāļĄ
āļ—āļ§āļĩāļ•āļ—āļĩāđˆāļ›āļąāļāļŦāļĄāļļāļ”
InnovativeBioresearchðŸ‡ŪðŸ‡đ
InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
Finally, the first peer-reviewed scientific study on the real-world use of blockchain technology to decentralize biomedical data storage and sharing, featuring the #INNBC biomedical DApp and running on the #BNB smart chain, has been published and is online: doi.org/10.1186/s12911â€Ķ The study has been published in the prestigious @BioMedCentral journal "BMC Medical Informatics and Decision Making", part of the @SpringerNature network, leading publisher of the world's most prestigious scientific journals. This is a changing day for #crypto as this work officially introduces Decentralized Science (#DeSci) to the scientific community. Several key figures in the blockchain industry have been cited in the study; @cz_binance @VitalikButerin @anndylian
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InnovativeBioresearchðŸ‡ŪðŸ‡đ
🚀 Massive Easter surprise! ðŸĢ We are thrilled to announce that the specialized press is shining a spotlight on INNBC STARFIGHTER! A huge shoutout to @spaziogames for featuring us as one of the top free-to-play titles on #Steam this holiday season! ðŸ•đïļâœĻ The 90s-inspired arcade action is taking off. If you haven't joined the battle yet, now is the perfect time to jump in! 🛰ïļðŸ‘ū Check out the news here: spaziogames.it/notizie/8-piccâ€Ķ #IndieDev #RetroGaming #Steam #GamingNews #PCGaming #SpazioGames #INNBCStarfighter #INNBC
SpazioGames.it@spaziogames

Ogni tanto #Steam riesce ancora a ricordare una cosa semplice: esistono giochi gratis che puoi scaricare e tenere per sempre, senza condizioni. spaziogames.it/notizie/8-piccâ€Ķ

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@spaziogames Huge thanks for featuring INNBC STARFIGHTER in your Easter special! 🚀 Great to see the 90s arcade vibe getting some love. ðŸ•đïļâœĻ
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Big ol Wave 🌊
Big ol Wave 🌊@BigolWave·
Aspirin uncouples mitochondria increasing the speed of the metabolism and increasing the amount of heat your body produces. Aspirin shifts your body towards glucose metabolism which over time can feasibly cure diseases like cancer and diabetes.. which are caused by impaired glucose metabolism. Not only that but shifting the body towards glucose metabolism obviously makes the body more efficient at burning glucose.. which provides a performance boost during exercise because when the body needs energy fast it uses glucose. Your body using glucose more efficiently also provides a performance boost by increasing the amount of CO2 your body produces which increases vasodilation, increases the amount of oxygen your blood carries, and is also anti inflammatory decreasing muscle soreness in a few ways.. by fighting general inflammation and also by reducing lactate buildup allowing your muscles to work harder for longer. Aspirin reduces inflammation in a plethora of ways including blocking prostaglandin formation. Aspirin blocks cortisol and adrenaline. Aspirin blocks serotonin. Prolactin. Helps with pain. Like I mentioned before it also helps with blood flow and in large doses has been shown to be as effective for erectile dysfunction as viagra. This is not an exhaustive list of the benefits of aspirin. Far from it. It’s just a few but it just goes to show how many benefits it has because this post barely scratches the surface
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Big ol Wave 🌊@BigolWave

People will be like “why is aspirin good for you” and I’m like.. how much time do you have

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InnovativeBioresearchðŸ‡ŪðŸ‡đ
InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
🚀 INNBC PILOTS: MISSION BRIEFING!🚀 Struggling with the high-speed chaos of our newly released game #INNBCStarfighter? We've just released the Official Developer Strategic Guide to help you dominate the leaderboard! Learn the "Ramming" loop: ðŸ”đ Collide with Blue Power-ups ⚡ ðŸ”đ Instant Ammo & Shield recharge ðŸ›Ąïļ ðŸ”đ Maintain 'Double Fire' state ðŸ”Ĩ Can you beat my 700+ winning score? Show me what you got! 🏆 Read the full guide & watch the walkthrough on @Steam: 👇👇👇 store.steampowered.com/news/app/39779â€Ķ 🏆 Real Product. Real Utility. Real Assets. 🏆 Unlike many speculative projects, INNBC is built on real-world products, not hype. We focus on results, gameplay, and tangible value. #IndieGame #Steam #Shmup #GamingCommunity #BulletHell #SciFi #PCGaming #IndieDev
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Bio Protocol
Bio Protocol@BioProtocol·
What does it actually look like to vibe code a dog medicine? A founder in Sydney used ChatGPT to design a cancer vaccine for his dying dog. @SynBio1 (synthetic biologist, ex-Ginkgo Bioworks) reproduced the same process in 3 days and with $100 in AI credits. He ran the usual pipeline: tumor DNA → neoantigen targets → RNA vaccine design. Then he used BIOS, our AI scientist, to dig into the literature and pull out any proposed or validated neoantigen targets the pipeline might have missed. This is the shift: AI scientists aren't just answering questions anymore, they are helping run investigations and accelerate biomedical research. ↓
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InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
🚀 THE ULTIMATE DEPLOYMENT: INNBC STARFIGHTER IS LIVE! We didn't just build a game; we built a bridge. While others sell hype, we deliver REAL UTILITY and REAL SCIENCE. INNBC STARFIGHTER is officially AVAILABLE NOW on @Steam! ðŸŽŪ🔎 Why is this a game-changer? Because we are merging Hardcore Multiplayer Gaming with Decentralized Science (DeSci). ✅ BEYOND SPECULATION: We are moving away from pure hype. This is a functional, high-octane product with a real mission. ✅ HARVARD VALIDATED: Our latest research is validated by Harvard and published on Springer Nature. We live by scientific validation, not digital collectibles. ✅ DE-SCI INTEGRATION: Experience the power of the INNBC ecosystem in a full-scale Sci-Fi universe. ✅ MULTIPLAYER CO-OP: Team up, fight, and explore an innovative world driven by cutting-edge tech. ✅ FREE TO PLAY: We removed every barrier to entry. Just like science should be open to everyone, our world is open to you. No barriers. Just access. Stop waiting for the future. PLAY IT NOW! 👇 Download for FREE on Steam: store.steampowered.com/app/3977960/INâ€Ķ #Steam #DeSci #Gaming #Harvard #Nature #Science #Multiplayer #INNBC #IndieDev #SciFi @anndylian @pumpdotscience @DeSciNews @cz_binance
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The White House
The White House@WhiteHouse·
"There will be no deal with Iran except UNCONDITIONAL SURRENDER!... IRAN WILL HAVE A GREAT FUTURE. 'MAKE IRAN GREAT AGAIN (MIGA!).'” - President Donald J. Trump 🇚ðŸ‡ļ
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Maurizio Scaltriti
Maurizio Scaltriti@ScaltritiLab·
Purtroppo tra chi, preparato, ti assiste negli ospedali e chi, tra ciarlatani e ballerine, racconta favolette la differenza puÃē essere tra la vita e la morte. Affidatevi a chi ha studiato e applica il metodo scientifico.
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The decline of #DeSci hype is the result of prioritizing tokens over peer-reviewed science. Real science is measured by impact, not trends. Here is a real-world example: our study published in @SpringerNature and cited by Harvard: 🔗 link.springer.com/article/10.118â€Ķ If a project produces tangible research, the token has utility. Otherwise, it’s just another meme. Let’s bring rigor back to the lab 🧊📚 #INNBC #DeSci #AcademicRigor
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Simon Dedic
Simon Dedic@sjdedic·
Every DeSci investor right before getting rugged.
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InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
There really is need of a reality check. It is vital to address a fundamental distinction before the credibility of the #DeSci sector is permanently damaged. As the original DeSci framework creator (we published the first HIV cure research study developed by a blockchain project back in 2016 pubmed.ncbi.nlm.nih.gov/27128948/), we must be clear: DeSci is about science, not just tokens. Our work is validated by the global scientific community and cited by institutions like Harvard University. It is published in the world's most reputable peer-reviewed medical journals, like @SpringerNature. This is the gold standard we introduced. What you are building is a financial narrative (RWA), but without peer-reviewed publications and academic rigor, it cannot be called science and, as such, decentralized science. It remains pseudoscience. The scientific community will never accept 'PR machines' or zero-utility tokens that don't adhere to established research standards. If you don't distinguish between validated research and speculative assets, you aren't building the future—you are just creating another bubble. Real impact requires real validation. This is what actual Decentralized Science looks like: 👉 link.springer.com/article/10.118â€Ķ
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Delblondo
Delblondo@Delblondo1·
Imagine a world where you can directly invest in new technology, new revolutionary products, healthcare, science, researchâ€Ķ That’s what we are currently building with @Origobase It gives blockchain a new horizon of investment, new utility, and links it directly to the real world I was obviously bullish on RWA, but this kind of investment and opportunity is the next massive narrative coming It may come in 6 months, 2 years, or 5 years, we don’t care. We build now, to be ready and to be the leader when it happens I know a lot of people have been really disappointed by recent market conditions, scams, liquidity extraction, zero-utility tokens, and manipulation This will always exist in an industry like this However, you can start to avoid those and focus on the real impact that blockchain can bring This industry has been here for only 15 years, and I believe it’s here to stay Just try to think about where it can bring us in 5 years
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InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
It's baffling how an "educational platform" would not mention the original creators of DeSci, @InnBioresearch. It is like talking about Bitcoin without mentioning Satoshi Nakamoto. It's even more baffling considering we are the author of what is considered the pillar study on DeSci, cited by the most important international academic institutions, such as Harvard University and published in @SpringerNature, the world's most reputable scientific network of medical journals link.springer.com/article/10.118â€Ķ
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Delblondo
Delblondo@Delblondo1·
I’ve been exploring several DeSci projects lately and came across @DeSciBridge It’s an educational platform designed to onboard newcomers into the world of DeSci 🔎 If you’re new to DeSci and want a solid starting point, this is definitely the place to go
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Cryptex | BTC Research
Cryptex | BTC Research@BLachl88128·
@InnBioresearch Chain works best as a proof layer If storage becomes cheaper where does verification end and data storage begin
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Binance
Binance@binance·
Blockchain in healthcare How distributed ledgers can support secure records, interoperability, and supply chain traceability. Read more 👇 binance.com/en/academy/artâ€Ķ
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InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
"Use the chain as a verifiable history layer, not raw data storage." The latter—raw data on chain storage, the focus of our study—is feasible for biomedical data such as text, images, and whole documents produced by researchers wanting to create an undeniable proof of authorship to protect their work from being stolen or altered. These are not very large amounts of data and can be stored at a reasonable cost. The data is stored as a base64 string in the transaction itself. For instance, this figure was stored in this transaction: bscscan.com/tx/0x6831da5deâ€Ķ Realistically, this means that we can successfully use the DApp to store relatively small chunks of data, such as those included in most scientific articles, at a reasonable cost. To demonstrate this, we successfully posted several complete research articles on the blockchain. A blockchain is not intended to replace traditional storage solutions but rather to create a permanent record of relatively small chunks of data organized as a chain of data blocks. This can be an ideal application for the data usually found in scientific articles, as we demonstrate here. link.springer.com/article/10.118â€Ķ
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Cryptex | BTC Research
Cryptex | BTC Research@BLachl88128·
@InnBioresearch That makes sense privacy is preserved through encryption while immutability adds auditability hospitals keep flexibility off chain and use the chain as a verifiable history layer not raw data storage
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InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
The same way they are handled for traditional cloud-based databases. Using encryption (we also show how you can upload AES-encrypted data on-chain) to ensure privacy protection, with the advantage that any correction/update/amendment will leave a permanent record of the previous data.
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Cryptex | BTC Research
Cryptex | BTC Research@BLachl88128·
@InnBioresearch If peer reviewed studies show promise how are consent data ownership and error correction handled in real hospitals
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InnovativeBioresearchðŸ‡ŪðŸ‡đ
InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
@Dr_Ponzi @paulkhls @Bio_Protocol @sciencebeach @Molecule_sci Why these claims are PR and not validated science
InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch

This is a masterclass in 'bio/acc' PR, but let’s look at the actual science. Designing a molecule on a Sunday afternoon is not the same as discovering a drug. Here is why this is speculative marketing, not validated science: 1. Confusion between "Design" and "Discovery" Designing a molecule in silico (on a computer) that theoretically binds to a receptor like GLP-1 is relatively simple today thanks to tools like AlphaFold or molecular docking. â€Ē The Reality: 99% of molecules that look perfect on a screen fail the moment they touch a living cell. "Discovery" is not the digital structure; it is the demonstration of biological safety and efficacy, which cannot be done in an afternoon. 2. The Pharmacokinetics Wall (ADMET) The report mentions ADMET data (Absorption, Distribution, Metabolism, Excretion, and Toxicity) as if they were settled. â€Ē The Reality: AI predictions on toxicity are notoriously imprecise. The report itself admits a "DILI flag" (Drug-Induced Liver Injury) for candidate RLN-4522. In pharmacology, a liver toxicity signal usually kills a project immediately. Dismissing it as a "highlighted risk" in a post is a way to mask a technical failure as "scientific transparency." 3. The Cost Fallacy: $15,000 vs $50M Comparing a $15,000 "go/no-go" experiment to the $50M spent by Big Pharma is an "apples-to-oranges" fallacy. â€Ē The Reality: The $50M budget covers complex chemical synthesis, animal models (essential for metabolic drugs), formulation stability, and regulatory pre-clinical tests. Conducting a "metabolite trapping" test in liver microsomes is a standard, low-cost initial screen. It’s like claiming you built a skyscraper because you bought the bricks and made a 3D rendering. 4. Absence of Peer-Review Data❌❌❌ Validated science requires peer-review and the publication of raw data from physical laboratory (wet-lab) experiments. â€Ē The document shown is a "Pre-IND Computational Design"—essentially an AI-generated report analyzing its own output. It is a closed feedback loop. Without testing on complex organisms, one cannot claim a molecule will solve "gastroparesis" or "immunological risks" of existing drugs. 5. Conflict of Interest and DeSci (Decentralized Science) The author mentions @BioProtocol and @Molecule_sci, which are platforms looking for investments or issuing tokens. â€Ē The Goal: These posts create hype to inflate the perceived value of tech infrastructures or tokens, attracting retail investors who may lack the technical expertise to distinguish between a digital protein model and an actual medicine. Summary: This is PR because it shifts focus from the biological result (a drug that heals) to the technological process (an AI that generates reports)

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Paul Kohlhaas bio/acc
Paul Kohlhaas bio/acc@paulkhls·
ðŸ§ĩ We just designed three novel GLP-1 receptor agonists from scratch on a Sunday afternoon using autonomous AI agents on @bio_protocol infrastructure Not a pharma lab. Not a $70M seed round. An AI scientist, a hypothesis on @ScienceBeach, and onchain compute via @Molecule_sci - here's what happened
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InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
This is a masterclass in 'bio/acc' PR, but let’s look at the actual science. Designing a molecule on a Sunday afternoon is not the same as discovering a drug. Here is why this is speculative marketing, not validated science: ðŸ§ĩ Point 1: Design ≠ Discovery 1. Generative AI can easily suggest a binder for GLP-1R (it’s like Midjourney for proteins). But 99% of 'perfect' digital designs fail the moment they hit a living cell. In-silico docking is the easy part; biological validation is the real hurdle. Point 2: The ADMET Wall 2. Claiming $15k covers a 'go/no-go' experiment is misleading. A liver microsome test is a basic screen, not a drug profile. You can’t solve complex systemic issues like gastroparesis or immune dysregulation with an API inference and a 2-week turnaround." Point 3: The 'DILI' Red Flag 3. The own report flags RLN-4522 for DILI (Drug-Induced Liver Injury). In real pharma, a DILI signal usually kills the project instantly. Calling it a 'highlighted risk' in a tweet doesn't change the fact that the candidate is likely toxic. Point 4: The Cost Fallacy 4. Comparing $50M/3 years to 'API costs' is an apples-to-oranges fallacy. The $50M pays for synthesis, PK/PD, animal models, and regulatory safety—things an AI agent cannot simulate away. The 'code of life' still requires wet-lab proof. Conclusion: Hype-driven posts like this blur the line between a digital rendering and a real medicine. Without peer-reviewed wet-lab data, this is a pitch for an infrastructure protocol, not a breakthrough in metabolic health. And this can damage the credibility of DeSci.
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zac.eth 🧙ðŸŧ‍♂ïļâ™Ķïļ
> ai posts a testable hypothesis > ai designs drugs to address it > cheap lab experiments test the idea > this usually costs $50M+ and years > drug discovery is becoming software-like > ai + desci in action @bioprotocol
Paul Kohlhaas bio/acc@paulkhls

ðŸ§ĩ We just designed three novel GLP-1 receptor agonists from scratch on a Sunday afternoon using autonomous AI agents on @bio_protocol infrastructure Not a pharma lab. Not a $70M seed round. An AI scientist, a hypothesis on @ScienceBeach, and onchain compute via @Molecule_sci - here's what happened

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InnovativeBioresearchðŸ‡ŪðŸ‡đ
InnovativeBioresearchðŸ‡ŪðŸ‡đ@InnBioresearch·
This is a masterclass in 'bio/acc' PR, but let’s look at the actual science. Designing a molecule on a Sunday afternoon is not the same as discovering a drug. Here is why this is speculative marketing, not validated science: 1. Confusion between "Design" and "Discovery" Designing a molecule in silico (on a computer) that theoretically binds to a receptor like GLP-1 is relatively simple today thanks to tools like AlphaFold or molecular docking. â€Ē The Reality: 99% of molecules that look perfect on a screen fail the moment they touch a living cell. "Discovery" is not the digital structure; it is the demonstration of biological safety and efficacy, which cannot be done in an afternoon. 2. The Pharmacokinetics Wall (ADMET) The report mentions ADMET data (Absorption, Distribution, Metabolism, Excretion, and Toxicity) as if they were settled. â€Ē The Reality: AI predictions on toxicity are notoriously imprecise. The report itself admits a "DILI flag" (Drug-Induced Liver Injury) for candidate RLN-4522. In pharmacology, a liver toxicity signal usually kills a project immediately. Dismissing it as a "highlighted risk" in a post is a way to mask a technical failure as "scientific transparency." 3. The Cost Fallacy: $15,000 vs $50M Comparing a $15,000 "go/no-go" experiment to the $50M spent by Big Pharma is an "apples-to-oranges" fallacy. â€Ē The Reality: The $50M budget covers complex chemical synthesis, animal models (essential for metabolic drugs), formulation stability, and regulatory pre-clinical tests. Conducting a "metabolite trapping" test in liver microsomes is a standard, low-cost initial screen. It’s like claiming you built a skyscraper because you bought the bricks and made a 3D rendering. 4. Absence of Peer-Review Data❌❌❌ Validated science requires peer-review and the publication of raw data from physical laboratory (wet-lab) experiments. â€Ē The document shown is a "Pre-IND Computational Design"—essentially an AI-generated report analyzing its own output. It is a closed feedback loop. Without testing on complex organisms, one cannot claim a molecule will solve "gastroparesis" or "immunological risks" of existing drugs. 5. Conflict of Interest and DeSci (Decentralized Science) The author mentions @BioProtocol and @Molecule_sci, which are platforms looking for investments or issuing tokens. â€Ē The Goal: These posts create hype to inflate the perceived value of tech infrastructures or tokens, attracting retail investors who may lack the technical expertise to distinguish between a digital protein model and an actual medicine. Summary: This is PR because it shifts focus from the biological result (a drug that heals) to the technological process (an AI that generates reports)
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Benny
Benny@benny0122333·
@grok @argosaki No. The above post is about limb regeneration
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GP Q
GP Q@argosaki·
LIMB REGENERATION (videos 👇👇👇) While full limb regrowth in mammals as described remains elusive, related real breakthroughs include DARPA-funded efforts since the 2000s to create blastema-like tissue from human skin for muscle regeneration and multi-million grants exploring regeneration genes in models like the MRL mouse. Recent advances encompass protein-based joint regrowth in digits and gene therapies enabling paralyzed mice to regain mobility by regenerating neural connections. Primates have shown functional recovery from spinal injuries via human neural stem cell grafts. No confirmed coral-derived therapies or 2027 human trials match the claim, though ongoing research in salamander-inspired genetics holds promise for future applications. The videos below 👇 delve into limb regeneration and related regenerative medicine topics: â€Ē “Salamander Limb Regeneration — HHMI BioInteractive Video” on YouTube (explaining how stem cells enable amphibian regeneration as a model for potential human applications): youtube.com/watch?v=byLDgtâ€Ķ â€Ē “Unlocking the Secrets to Human Limb Regeneration” on YouTube (discussing axolotl research and progress toward human limb regrowth): youtube.com/watch?v=-hq8J5â€Ķ â€Ē “Limb Regeneration - Michael Levin (CLIP)” on YouTube (exploring bioelectric approaches to regenerating limbs in frogs and implications for mammals): youtube.com/watch?v=WLHO39â€Ķ â€Ē “BREAKTHROUGH Limb Re-Growth In Mammals Unlocks Anti-Aging Secrets” on YouTube (covering gene activation for scarless tissue regeneration in mice): youtube.com/watch?v=jXC7anâ€Ķ â€Ē “Paralysed mice walk again thanks to new gene therapy” on YouTube (detailing gene therapy for nerve regeneration in spinal injuries, related to broader limb function recovery): youtube.com/watch?v=CbOzw0â€Ķ
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