Yoga related Nobel prize winners?
Yoga related Nobel prize winners?#MuhammadYunus (2006 Nobel Peace Prize) #ElizabethBlackburn (2009 Nobel in Physiology or Medicine) #AnthonyLeggett (2003 Nobel in Physics) #RabindranathTagore (1913 Nobel in Literature) https://t.co/M0frYWKsFU #8LimbsOfYoga @WorldUnivAndSch~
— WorldUnivandSch (@WorldUnivAndSch) March 11, 2026
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- Maharishi Mahesh Yogi (Nominee): Nominated for the Nobel Peace Prize in 1963 for his mission of world peace through the spiritual guidance of Yoga and meditation.
- Muhammad Yunus (2006 Nobel Peace Prize): Recipient of the 2021 Namaste Award from Yoga Gives Back for his work in development.
- Elizabeth Blackburn (2009 Nobel in Physiology or Medicine): Published studies on how reducing stress through meditation can affect telomeres.
- Anthony Leggett (2003 Nobel in Physics): Mentioned practicing yoga in the morning for physical exercise.
- Rabindranath Tagore (1913 Nobel in Literature): His work was translated by Shri Yogendraji, the founder of The Yoga Institute.
- Meditation & Health: Research into meditation's impact on aging and health, such as that by Elizabeth Blackburn, connects scientific studies to traditional yoga practices.
- Spiritual Practice: Figures like Maharishi Mahesh Yogi directly promoted yoga for global peace
Excited that #GeminiAI & @GoogleResearch LLMs are reading scientific literature on #AgingReversal & #ExtremeLongevity #GeneTherapies & #vaccinesWUaS in many langs & pot. synthesizing them in #RealisticVirtualEarth w #AvatarAgentElectronicHealthRecords - https://t.co/OihFWq8yCO ~
— WorldUnivandSch (@WorldUnivAndSch) March 9, 2026
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Large Language Models (LLMs) and specialized AI systems from Google DeepMind and Google Research are transforming how scientific literature is ingested, synthesized, and applied to complex fields like longevity genetics and vaccinology.
Here is an analysis of how these models process vast datasets and how that speed can be leveraged within digital twins and virtual environments.
1. Multilingual Ingestion and Iteration
Models like Gemini utilize Multimodal and Cross-Lingual Training, allowing them to process research papers in dozens of languages simultaneously.
Massive Context Windows: With the ability to process millions of tokens, AI can "read" entire libraries of journals, identifying correlations between a study published in Japanese on cellular senescence and a paper in English regarding mRNA delivery systems.
Knowledge Graphs: Systems like Google’s "Knowledge Graph" and DeepMind’s specialized tools create structured maps of entities (genes, proteins, compounds). This allows the AI to iterate by constantly updating the "strength" of a scientific claim as new papers are published, effectively keeping a real-time ledger of the "state of the art."
2. Accelerating Gene Therapy and Vaccine Development
AI accelerates the "Lab-to-Clinic" pipeline through three primary mechanisms:
Predictive Proteomics: DeepMind’s AlphaFold has predicted the structures of nearly all known proteins. For longevity research, this means scientists can identify how specific "longevity genes" or Yamanaka factors might physically interact with cellular machinery without years of physical "trial and error."
Generative Molecular Design: AI can iterate through millions of potential vaccine or gene therapy delivery vectors (like lipid nanoparticles) to find the ones most likely to be stable and effective, significantly narrowing the field for human researchers.
Literature Synthesis: AI can identify "hidden" insights—for example, noticing that a drug used for a specific rare disease has molecular signatures that might counteract a specific pathway of aging.
3. Integration into a Realistic Virtual Earth (RVE)
The concept of a "Realistic Virtual Earth" for genetics—integrated with platforms like World University and School—represents a shift toward In Silico Biology.
Digital Twins and Avatars: By populating a virtual environment with "avatar agents" linked to electronic health records (EHR), researchers can simulate how a gene therapy might affect a population across different climates, diets, or genetic backgrounds.
Spatial Temporal Simulation: Using a "time slider" interface (similar to Google Street View's historical imagery) allows for the visualization of biological aging. A researcher could "scroll forward" 20 years on an avatar to see the predicted epigenetic impact of a longevity intervention.
Interoperable Data Layers: In an RVE, biological data (synthetic biology) can interoperate with environmental data. This creates a "Biomedical Engineering" layer where the impact of a new vaccine or therapy is modeled within the context of a person's real-world movement and history.
4. Educational Synergy: MIT OCW and Global Access
By leveraging MIT OpenCourseWare (OCW) in multiple languages, institutions can create a feedback loop:
AI Curates: LLMs identify the most relevant, up-to-date papers on aging reversal.
Multilingual Translation: The AI translates these complex findings into the seven languages of the OCW curriculum.
Global Classrooms: Students at a "World University" can use AI agents to "query" the Realistic Virtual Earth, testing hypotheses in the simulation as part of their coursework.
5. Speeding up Human Application
The ultimate benefit is the reduction of the "Science-to-Action" Gap. While it traditionally takes 17 years for research to reach clinical practice, an AI-driven Realistic Virtual Earth could allow for:
Synthetic Control Arms: Using virtual avatars to act as a "control group" in clinical trials, potentially reducing the number of human subjects needed and speeding up FDA/regulatory approval.
Real-time Course Correction: If new literature suggests a specific side effect for a gene therapy, the AI can immediately update the models within the Virtual Earth to see who is most at risk globally.
By treating the global scientific literature as a single, living dataset, AI models provide the "connective tissue" between disparate research papers, turning a fragmented library into a functional, predictive simulation for human health.
- Analyzes research: AI systems examine many research papers to find connections between biological pathways.
- Decodes genetic data: AI models predict the effects of genetic variations, which is important for gene editing.
- Predicts protein structures: AI predicts the 3D structures of proteins, aiding in the design of new treatments.
- Optimizes vaccines: AI optimizes mRNA sequences and the delivery methods for vaccines, speeding up development.
- Fast screening: AI can quickly screen molecules and genetic targets.
- Epigenetic reprogramming: AI helps in developing therapies to reverse cellular aging.
- Reduced lab time: AI platforms simulate experiments, allowing researchers to test variants efficiently.
- AI-driven trials: AI identifies biomarkers for biological age, enabling faster and more accurate clinical trials.
- Digital twins: These are detailed models of a person's biology created from their data.
- Agent integration: A personal AI agent can use this virtual environment and access health records to predict health risks and simulate treatments based on an individual's genetic profile.
- Time-slider: By combining AI-driven aging clocks with health records, the system can show how genetic factors affect health over time and predict the impact of interventions.
- Retro Bio/OpenAI focuses on age-reversal therapies.
- Life Biosciences develops reprogramming to reverse aging.
- Google Health/DeepMind develops health models.
- Insilico Medicine/Deep Longevity uses AI to create aging clocks and find drug targets.
- Evo 2 / Ark Institute generates optimized genetic sequences
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#AgingReversalGeneticsWUaS:
— WorldUnivandSch (@WorldUnivAndSch) March 11, 2026
George Church, a Harvard geneticist, is pioneering anti-aging research aimed at #ReversingAging in human cells & animals using gene therapy, specifically #CRISPRtech & #partialcellularreprogramminghttps://t.co/xqf6PVMAiw >https://t.co/hJoNCM0lei ~
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- Methods: Church utilizes gene therapy to introduce genes that improve function in aging tissues, rather than just slowing the aging process. He is exploring partial reprogramming to reset cell, epigenetic patterns to a more youthful state.
- Success in Animals: Studies have demonstrated significant lifespan increases in mice (up to 109% in some trials) using gene therapy to target aging pathways.
- Clinical Applications: His research aims to move towards human clinical trials to treat age-related diseases and reverse the effects of aging, with a focus on rejuvenating organs like the heart and kidneys.
- Goal: The ultimate goal is to extend the healthy human lifespan beyond 100 years.
- Controversy and Challenges: While pioneering, some of his, or his affiliates', research, such as a 2022 paper on gene therapy, has faced scrutiny, including a retraction due to data discrepancies.
Nontheist NtF Friendly Quaker Medical Schools at WUaS
Nontheist NtF Friendly #QuakerMedicalSchools @WorldUnivAndSch #WorldUniversityInSchool, building on #MITOCW in 7 languages - https://t.co/ex4uIFHzQv, & in 200 #WUaScountries https://t.co/VCHztdyeMq with #RealisticVirtualEarthForSurgery ~Stay tuned: https://t.co/8Kx5cOWGm5 ~
— WorldUnivandSch (@WorldUnivAndSch) March 11, 2026
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- Goal: To establish a free-to-use, "Wikipedia-like" university providing education in many languages.
- Structure: It is designed around the concept of free, online, MIT OCW-centric materials.
- Medical Focus: The project, led by founder Scott MacLeod, is planning to include accredited, online medical schools.
- Scope: The ambition is to operate in 200+ countries.
- MIT Connection: While using MIT OCW materials, World University and School operates independently of MIT, which is a top-ranked, private research institution in Cambridge, MA
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"To the Dance of the Pools? ~ Virtually!: How Different it is to Soak at Harbin than to Realize it in Virtual Reality" book to be featured with the Life Long Learners Book Club
Yet there's more space
in the actual Harbin's warm pool than in this bathtub.
How best to understand consciousness, and this consciousness,
this Harbin consciousness,
this Harbin Heart Consciousness
of HCC - Heart Consciousness Church?
Subjective-Objective accounts,
1st person-3rd person scientific narratives ~ in the warm waters, with the Glasses,
re visually observing,
and beginning to examine neural processing ~ as sentience,
awareness,
perception and
feeling
in the brain, the mind, the BodyMind?
So is this, the Body-Mind problem, moot in the warm pool,
and consciousness all one?
Yet, poetry-wise, we be studying how brains give rise to mind,
re neural processing,
with brainwave headsets ~
thinking about it.
So then, can minds be bodies, and
Is sentience brain-meat or bodyminds? Virtually!
And how is body mind
consciousness - importantly - virtual,
or in what ways can we make this more so - to learn?
Further, are these neurophysiological e-states
Wednesday, November 13, 2019
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Is the #StateOfCalifornia building out a #BlockChainLedger for all of its #RealEstateProperties that will interoperate w #USfedGovt block chain for each #USRealEstateProperty & which might even be viewable in #GStreetView w #GTimeSlider in 1 #RVE @ #WUaS?https://t.co/7VCYnnh2Zh~
— WorldUnivandSch (@WorldUnivAndSch) March 11, 2026
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While there is no single, unified project building a blockchain ledger for all California real estate that is viewable in Google Street View, the state has launched major blockchain initiatives for other asset classes that lay the groundwork for such a system.
California’s Blockchain Ledger Milestones
California is actively using blockchain for state record-keeping, though current efforts focus primarily on vehicle titles rather than real estate.
DMV Title Project: As of 2024–2025, the California DMV has digitized over 42 million car titles on the Avalanche blockchain.
This allows residents to manage vehicle titles via a mobile app and reduces transfer times from weeks to minutes. Legislative Mandate: Governor Gavin Newsom's 2022 Executive Order (N-9-22) directed state agencies to explore blockchain for public services, specifically noting its potential to remove middlemen in real estate deals.
Cryptocurrency Pilot: A new program, AB 1180, is scheduled to launch in July 2026, allowing Californians to pay certain state fees using cryptocurrency.
Interoperability with the Federal Government
There is no "master ledger" currently shared between California and the federal government for real estate, but both levels of government are moving toward harmonized standards:
Trust Frameworks: California legislation requires the Department of Technology to create a "California Trust Framework" designed to be interoperable with other government frameworks for verifiable credentials.
Federal Strategy: The Department of Homeland Security (DHS) and Customs and Border Protection (CBP) are focusing on interoperability standards rather than a single blockchain, allowing different state and federal systems to communicate securely.
Disaster Recovery: Companies like Deloitte have already piloted blockchain platforms to help state and local governments streamline disaster reimbursement with FEMA.
Visualization via Google Street View & Time Slider
While there is no official "blockchain-to-Street View" integration, the technologies to create such a visualization are advancing rapidly:
Historical Imagery: Google Earth and Street View already feature a Time Slider (historical imagery) that allows users to see how neighborhoods and buildings have changed over decades.
Real Estate Analysis: Professionals already use this Time Slider to study property history and track neighborhood evolution.
Immersive 3D: New 2026 updates to Google Earth and the use of Photorealistic 3D Tiles allow developers to overlay custom 3D models of future buildings directly into the real-world context of Google Maps.
Would you like me to find the specific technical standards being used by the California Department of Technology for their upcoming Trust Framework?
*
https://www.stuartxchange.org/HairyWaterLily
https://indiabiodiversity.org/species/show/230504
https://en.wikipedia.org/wiki/Nymphaea_pubescens
https://commons.wikimedia.org/wiki/Nymphaea_pubescens
....
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