Longevity gene therapy and AI – What is on the horizon?
Gene therapy holds promise for extending human lifespan and enhancing healthspan by targeting genes associated with aging processes. Longevity gene therapy, particularly interventions focusing on genes like TERT (telomerase reverse transcriptase), Klotho, and Myostatin, is at the forefront of experimental research. Companies such as Bioviva, Libella, and Minicircle are pioneering these interventions, albeit with varying degrees of transparency and scientific rigor.
TERT, Klotho, and Myostatin in Longevity
TERT: The TERT gene encodes for an enzyme essential in telomere maintenance, which is linked to cellular aging. Overexpression of TERT in model organisms has shown potential in lengthening telomeres, potentially delaying aging.
Klotho: This gene plays a crucial role in regulating aging and lifespan. Klotho protein has been associated with multiple protective effects against age-related diseases.
Myostatin: Known for its role in regulating muscle growth, inhibiting Myostatin can result in increased muscle mass and strength, which could counteract some age-related physical decline.
The Experimental Nature of Longevity Gene Therapy
The application of gene therapy for longevity remains largely experimental. Most available data come from preclinical studies, primarily in animal models. Human data are scarce, raising questions about efficacy, safety, and potential long-term effects. The ethical implications of these experimental treatments, especially in the absence of robust data, are significant, touching on issues of access, consent, and potential unforeseen consequences.
Companies Offering Longevity Gene Therapy
Bioviva: Notably involved in this field, Bioviva has been vocal about its endeavors in gene therapy for aging. While they have published some data from mouse studies, human data remain limited.
Libella and Minicircle: These companies also offer longevity gene therapies but face similar challenges in providing comprehensive human data to back their claims.
Industry Perspective vs. Public Discourse
The discourse around longevity gene therapy is predominantly shaped by those within the industry, such as Liz Parrish of Bioviva and Bryan Johnson. While their insights are valuable, they may also be biased towards promoting their interventions. The lack of widespread discussion on platforms like Reddit and Twitter, especially from independent sources or those outside the industry, points to a need for greater transparency and peer-reviewed research.
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Ethical and Regulatory Considerations
The ethical and regulatory landscape for gene therapy is complex, particularly for treatments aimed at non-disease conditions like aging. The experimental status of longevity gene therapies raises significant ethical questions, particularly around informed consent and the potential long-term impacts. Regulatory bodies are tasked with balancing the potential benefits of such innovative treatments against the risks and ethical concerns, requiring a robust framework for clinical trials and approval processes.
Longevity Gene Therapy and AI
Integrating Artificial Intelligence (AI) into longevity gene therapy represents a groundbreaking intersection of biotechnology and computational sciences. AI and machine learning algorithms are increasingly employed to decipher complex biological data, predict the impacts of genetic modifications, and optimize therapy designs. In the context of longevity gene therapy, AI can analyze vast datasets from genomics, proteomics, and metabolomics to identify new therapeutic targets, understand the intricate mechanisms of aging, and predict individual responses to gene therapies. This computational power enables researchers to simulate the effects of gene editing or modulation before actual clinical application, enhancing the precision and safety of therapies. Furthermore, AI-driven platforms facilitate the personalized tailoring of gene therapy interventions, taking into account the unique genetic makeup of each individual, which is crucial for effective and minimally invasive treatment strategies. The synergy between AI and longevity gene therapy accelerates the pace of discovery and development in this field, promising more rapid translation of research findings into clinical applications that could extend human healthspan and lifespan.
Moving Forward
For longevity gene therapy to advance from experimental to accepted medical practice, several key developments are needed:
Robust Human Clinical Trials: Rigorous, peer-reviewed clinical trials involving human participants are essential to establish the safety and efficacy of gene therapies for longevity.
Transparency and Peer Review: Open sharing of data and peer-reviewed publication of results can help build credibility and foster a more informed public discourse.
Ethical and Regulatory Frameworks: Developing clear ethical guidelines and regulatory pathways for these therapies will be crucial in ensuring they are deployed responsibly.
The future of longevity gene therapy is fraught with challenges but also holds immense promise. As the field evolves, a multidisciplinary approach involving scientists, ethicists, regulators, and the public will be crucial in realizing its potential in a responsible and beneficial manner.
Longevity gene therapy and AI: Annex
What are the top 10 most promising potential longevity therapies being researched?
I think the idea of treating aging as a disease that’s treatable and preventable in some ways is a really necessary focus. The OP works with some of the world’s top researchers using HBOT as part of that process to increase oxygen in the blood and open new pathways in the brain to address cognitive decline and increase HealthSpan (vs. just lifespan). Pretty cool stuff!
HBOT in longevity research stands for “hyperbaric oxygen therapy.” It has been the subject of research for its potential effects on healthy aging. Several studies have shown that HBOT can target aging hallmarks, including telomere shortening and senescent cell accumulation, at the cellular level. For example, a prospective trial found that HBOT can significantly modulate the pathophysiology of skin aging in a healthy aging population, indicating effects such as angiogenesis and senescent cell clearance. Additionally, research has demonstrated that HBOT may induce significant senolytic effects, including increasing telomere length and decreasing senescent cell accumulation in aging adults. The potential of HBOT in healthy aging and its implications for longevity are still being explored, and further research is needed to fully understand its effects and potential applications.
2- Are they also looking into HBOT as a treatment for erectile dysfunction?
Definitely! Dr. Shai Efrati has been doing research around that and had a study published in the Journal of Sexual Medicine. Dr. Efrati and his team found that 80% of men “reported improved erections” after HBOT therapy: https://www.nature.com/articles/s41443-018-0023-9
Cellular rejuvenation aka partial reprogramming (as someone else already said) but not just by Yamanaka (OSKM) factors or cocktail variants but also by other novel Yamanaka-factor alternatives.
I see a lot of people saying reprogramming, and I think the idea is promising but as someone who worked on reprogramming cells in vitro I can tell you that any proof of concepts in vivo large animal models is far aways.
7- I think plasmapheresis is a technology most likely to be proven beneficial in the near term and also a technology that can be scaled and offered for reasonable prices.
8- Bioelectricity, if we succeed in interpreting the code of electrical signals By which cells communicate , we can control any tissue growth and development including organs regeneration
9- Gene therapy and reprogramming will blow the lid off the maximum lifespan. Turning longevity genes on/expressing proteins that repair cellular damage and reversing epigenetic changes that occur with aging.
10- I don’t think anything currently being researched (that we know of) has the potential to take us to immortality. That’ll likely end up requiring some pretty sophisticated nanotechnology. However, the important part isn’t getting to immortality, but getting to LEV. In that respect, I’d say senolytics and stem cell treatments are both looking pretty promising. (And can likely achieve more in combination than on their own.)
11- Spiroligomers to remove glucosepane from the ECM.
12- Yuvan Research. Look up the recent paper they have with Steve Horvath on porcine plasma fractions.
13- This OP thinks most of the therapies being researched will end up having insignificant effects. The only thing that looks promising to me is new tissue grown from injected stem cells or outright organ replacement. Nothing else will address DNA damage, which results in gene loss, disregulation of gene expression, and loss of suppression of transposable elements.
14- A couple that haven’t been mentioned:
Cancer:
The killer T-cells that target MR-1 and seem to be able to find and kill all common cancer types.
Also Maia Biotech’s THIO (“WILT 2.0”)
Mitochondria: Mitochondrial infusion that lasts or the allotopic expression of the remaining proteins SENS is working on.
15- Look for first updates coming from altos labs.
Altos Labs is a biotechnology research company focused on unraveling the deep biology of cell rejuvenation to reverse disease and develop life extension therapies that can halt or reverse the human aging process. The company’s goal is to increase the “healthspan” of humans, with longevity extension being an “accidental consequence” of their work. Altos Labs is dedicated to restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and disabilities that can occur throughout life. The company is working on specialized cell therapies based on induced pluripotent stem cells to achieve these objectives. Altos Labs is known for its atypical focus on basic research without immediate prospects of a commercially viable product, and it has attracted significant investment, including a $3 billion funding round in January 2022. The company’s research is based on the fundamental biology of cell rejuvenation, aiming to understand and harness the ability of cells to resist stressors that give rise to disease, particularly in the context of aging.
16– not so much a “therapy”but I think research into growing human organs may be very promising long term. Being able to get organ transplants made from your own cells means zero rejection issues and no limitations of supply for transplants. Near term drugs like rampamycin show good potential for slowing the aging process and are in human trials.
What is biological reprogramming technology?
Biological reprogramming technology involves the process of converting specialized cells into a pluripotent state, which can then be directed to become a different cell type. This technology has significant implications for regenerative medicine, disease modeling, and drug discovery. It is based on the concept that a cell’s identity is defined by the gene regulatory networks that are active in the cell, and these networks can be controlled by transcription factors. Reprogramming can be achieved through various methods, including the introduction of exogenous factors such as transcription factors. The process of reprogramming involves the erasure and remodeling of epigenetic marks, such as DNA methylation, to reset the cell’s epigenetic memory, allowing it to be directed to different cell fates. This technology has the potential to create new cells for regenerative medicine and to provide insights into the fundamental basis of cell identity and disease.
See also
Gene Therapy Basics for foundational understanding of gene therapy techniques and applications.
I built an Android chat assistant leveraging LLama 3 in a private cloud and am looking for guidance on how to incorporate domain specific data for company sw products. (user guides docs, knowledge bases, tech support tickets, etc.). I am a very seasoned dev but new to the LLM world. Confused if pre training or RAG is the path forward or how to pull off either. Not sure how to automate the conversion of loads of unstructured data into something useable (vector db) and wire it all up to my android app and/or LLM. This is an embarrassing noob post but I’m not a proud man and would love some guidance on tech stack, tutorials, etc. I see a lot of theory resources out there but no turn by turn guides to make it happen, thanks all 🍻 submitted by /u/eltodesc [link] [comments]
Recently I saw this video https://www.instagram.com/reel/C68YzaCRrK5/?igsh=MWN1MmJrcnhwdGhmMA== And I’m wondering if there’s an AI tool for me to input pictures of someone overtime of their life. My mother passed away recently and I have pictures of her from her toddler years until her death. submitted by /u/biggitydonut [link] [comments]
note: sorry for long text, but thoughts came to my mind, and can't free me to sleep let's begin In the natural world, there is a stark contrast between the governance of living and non-living things. Take, for example, the difference between a scratch on a car's paint and a wound on human skin. While both are forms of damage, the way they are handled is fundamentally different. A car, being a non-living object, cannot heal itself. If its paint is scratched, it will remain that way until an external force, such as a human with the right tools and materials, intervenes to repair it. The car has no inherent ability to coordinate a response to the damage or to communicate with other parts of itself to initiate a healing process. On the other hand, when human skin is wounded, a complex biological process springs into action. Various cells within the body, such as platelets, white blood cells, and fibroblasts, work together to stop the bleeding, fight infection, and repair the damaged tissue. This intricate dance of cellular coordination and communication happens without any conscious effort on our part – it is an automatic, self-governing response. Now, let's compare this to the governance of human organizations and the potential governance of AI systems. Human organizations, like living organisms, are composed of many individual parts (i.e., people) that must work together to achieve common goals. This requires a system of governance, often in the form of a hierarchical chain of command, where leaders at the top set the overall direction and delegate tasks to those below them, who in turn delegate to others, and so on. However, human governance is not always as smooth or efficient as the biological processes within our bodies. It can be hindered by miscommunication, conflicting interests, and the limitations of human decision-making. This is where the potential of AI governance comes into play. An AI-governed system, much like a living organism, could potentially coordinate and communicate seamlessly between its various components. Each AI entity within the system could be programmed with clear roles and responsibilities, and they could work together in a highly efficient manner to achieve their designated goals. If one part of the system encounters a problem (like a scratch on a car), it could quickly communicate this to other relevant parts of the system, which could then coordinate a response (like the healing process in human skin). However, it's important to note that the governance of AI systems is not without its challenges. Unlike biological processes, which have been honed by millions of years of evolution, AI systems are created by humans and are therefore subject to the same potential flaws and biases. It's crucial that we design these systems with robust safeguards and ethical principles in mind, to ensure they operate in a way that benefits humanity as a whole. In conclusion, the governance of living things, like the human body, is a marvel of self-coordination and communication. While non-living things, like cars, require external intervention to repair damage, living organisms have an intrinsic ability to heal themselves. As we look to the future of AI governance, we can take inspiration from these biological processes, while also being mindful of the unique challenges and responsibilities that come with creating artificial systems of governance. By striking the right balance, we may be able to create AI-governed organizations that are as efficient and resilient as the living systems we see in nature. submitted by /u/gizia [link] [comments]
Hello community! I just made a podcast episode about the ethics of artificial intelligence. What do you think? Do you agree? Do you think it’s ethical to restrict conscious beings? Let me know in the comments! Podcast: https://www.youtube.com/watch?v=Sm1gFFHCaxQ Written Article Version: https://medium.com/@yukiarimo/the-ethics-of-artificial-intelligence-94b63b30d5df?sk=d85fca4accebbd33e85099de700d5020 Note: THIS IS NOT AN AD! I JUST WANT TO SHARE MY THOUGHTS! submitted by /u/yukiarimo [link] [comments]
with all the profit and investment money they have (and other AI companies), they should buy all the science journal publishers and make it all free access. do the same with other valuable information like software API reference manuals and historical reports. now you can train neural networks on all this data without worrying about lawsuits, and it's available to all the humans, so they can train their organic intelligence! submitted by /u/goofnug [link] [comments]
I have a few websites that I manage,and I was wondering if it's possible to build an AI agent that does a few things such as : 1) Log in to the website and take a screenshot 2) Log in to Google Analytics 4 and type out what "he" sees 3) Running a Screaming Frog technical SEO report for these websites and saving them somewhere? submitted by /u/Overall_Rate9550 [link] [comments]
I have loved using GPT4 for drawing images of fantasy video game ideas and things like that. However, I was talking about a potential solar installation for my backyard and wanted to see if it could create a somewhat accurate or usable diagram for showing the breakdown in panels, costs, power requirements, cable routing, etc. It really seems only able to create neat looking art at the moment, which is awesome, but are any AI image gens possible of what I just described? submitted by /u/Jimstein [link] [comments]
Many sites do not offer dark mode since it's a lot of work to maintain both bright and dark and some companies/site owners frankly do not care. For some people, dark mode is really important because bright pages cause eye strain. Especially if all the other application and operating system is themed in dark mode. There are extensions already (Dark Reader) that can force dark mode but usually it's hit or miss, its based on some algorithm that guesses the right colors correctly from time to time. This proposal is about using AI like NVIDIA does with DLSS to analyze sites and figure out a good way to turn styles and assets into a dark mode in the best possible way. It can be a switch in the menu but also a setting that can be saved per site and or domain/URL pattern. This is something I would pay for. submitted by /u/Poilaucul [link] [comments]
Am I the only one that kind of likes the subtle reality glitch type effects of AI in its current stage. I'm kinda gonna miss it when its gone. submitted by /u/AggressiveLife7432 [link] [comments]
Unlike GPT or CLAUDE, basically LLM that are specialized to function as characters you can converse with? Which one's are the best in your opinion? I think we will have a personal assistant in the likes of Siri but with more customizable features. See this video on the matter. And thanks ahead of time for your viewership: https://www.youtube.com/watch?v=fDN-n4l5bqw submitted by /u/Long-Holiday6913 [link] [comments]
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submitted by /u/Scruffy_Nerf_Hoarder [link] [comments]
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Unreal episode I don’t know if anyone else has watched this? Formula student is awesome! https://youtu.be/yNOOnUJ6aZc?si=7DlfJT4beoUklLqB submitted by /u/MrHunkyDoo [link] [comments]