How likely are some of us with good health care coverage to live beyond 122 years of age & as #AgingReversal and #ExtremeLongevity genetic drug therapies emerge FDA-approved?
CIRCUMSPECT from #GeminiAIreAging:
How likely are some of us with good health care coverage to live beyond 122 years of age & as #AgingReversal and #ExtremeLongevity genetic drug therapies emerge FDA-approved?
How could a #RealisticVirtualEarth help?
CIRCUMSPECT from #GeminiAIreAging:
— WorldUnivandSch (@WorldUnivAndSch) July 24, 2025
How likely are some of us with good health care coverage to live beyond 122 years of age & as #AgingReversal and #ExtremeLongevity genetic drug therapies emerge FDA-approved?https://t.co/xXZvdWoKnT -
How could a #RealisticVirtualEarth help?
Response -
While promising research in aging reversal and longevity gene therapies is emerging, it's highly speculative whether individuals with good healthcare coverage today will live beyond 122 years, the longest documented human lifespan. FDA approval for such advanced therapies is a lengthy process, and their widespread accessibility and long-term effects on human lifespan are yet to be seen.
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AND - GREAT . . .
How could a realistic virtual Earth, and think Google Street View with time slider, Maps and at the cell view level and at the molecule view level, help some of us with good health care coverage to live beyond 122 years of age and as aging reversal and extreme longevity genetic drug therapies emerge FDA approved?
Response -
A virtual Earth, analogous to Google Street View but extending to cellular and molecular levels with a time slider, could revolutionize personalized medicine for extreme longevity. This "digital twin" of an individual would allow real-time monitoring of biological age, disease progression, and the effects of genetic and drug therapies. By simulating interventions at the molecular level and observing long-term cellular impacts, healthcare providers could tailor treatments to an unprecedented degree, optimizing them for each person's unique physiology to extend healthy lifespan beyond 122 years.
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germline editing
how best to create a
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how best to create a
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#GermlineEditing #ForGermlineEditing #WUaSgenetics ~
how best to create a #RealisticVirtualEarthForGermlineEditing emerging with a #RealisticVirtualEarth & re #GStreetView w #GTimeSlider #GMaps &@ #GCellView & #GMoleculeView levels? #GeminiAIreGermline;https://t.co/Ntmx9Xwbrt #GermlineEditing #ForGermlineEditing #WUaSgenetics ~ https://t.co/CSVHNjgLdK
— Scott_GK_MacLeod_WUaS_worlduniversityandschool.org (@scottmacleod) July 22, 2025
Retweeting
He Jiankui He
Many people are again interested in my work.
AND
how best to create a
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#GermlineEditing #ForGermlineEditing #WUaSgenetics ~
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What is Germline editing?
AI Overview:
Germline editing refers to the genetic modification of reproductive cells (sperm, eggs, or early embryos) to alter the heritable traits of future generations. This contrasts with somatic cell editing, which only affects the individual being treated and does not impact their offspring. While germline editing holds promise for preventing inherited diseases, it also raises significant ethical and safety concerns, including potential unintended consequences and the irreversibility of changes passed on to future generations.
Key aspects of germline editing:
- Germline editing involves modifying the DNA of cells that will contribute to the next generation, specifically sperm, eggs, or early embryos.
- The alterations made in germline cells are passed down to future offspring, potentially affecting the entire gene pool.
- Germline editing could eradicate inherited diseases, such as cystic fibrosis and Huntington's disease, by correcting the faulty genes responsible for these conditions.
- Safety: There are concerns about the potential for unintended consequences and off-target effects of gene editing, especially in early development.
- Equity and access: If germline editing becomes available, there are concerns about who will have access to it and whether it could exacerbate existing health disparities.
- Slippery slope: There are fears that germline editing could be used for non-therapeutic purposes, such as enhancing traits, raising questions about the definition of "disease" and the potential for social engineering.
- Moral status of the embryo: Some individuals and groups believe that altering the human germline is morally wrong, particularly in the context of research on early embryos.
- Safety: There are concerns about the potential for unintended consequences and off-target effects of gene editing, especially in early development.
- Germline editing is currently prohibited or restricted in many countries due to ethical and safety concerns.
- The development of CRISPR-Cas9 and other gene editing tools has made germline editing more accessible and precise, but also more controversial.
- Some scientific organizations are calling for a 10-year moratorium on human germline editing to allow for further research and ethical discussion.
- Germline editing is a subject of ongoing public debate, with varying perspectives on its potential benefits and risks.
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What does intelligent mean in 'real time intelligence systems' ? Gemini AI response -
Fascinating: What does intelligent mean in #RealTimeIntelligenceSystems regarding #IT? #GeminiAIreIntelligentIT -
https://g.co/gemini/share/
In real-time intelligence systems, "intelligent" refers to ability of system to perceive, process, reason, learn:
https://www.toolify.ai/ai-
Fascinating: What does intelligent mean in #RealTimeIntelligenceSystems regarding #IT? #GeminiAIreIntelligentIT -https://t.co/qRUGeEvWz1
— WorldUnivandSch (@WorldUnivAndSch) July 23, 2025
In real-time intelligence systems, "intelligent" refers to ability of system to perceive, process, reason, learn: https://t.co/8Kx5cOWGm5 ~
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what does intelligent mean in real time intelligence systems regarding information Technologies?
In real-time intelligence systems, "intelligent" refers to the ability of the system to perceive, process, reason, learn, and act autonomously or semi-autonomously on data as it's generated, enabling rapid decision-making and adaptation to changing conditions.
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real-time intelligence systems & for education and learning in a realistic virtual earth ?
Real-time intelligence systems & realistic virtual earth for education and learning
The integration of real-time intelligence systems and realistic virtual earth environments holds transformative potential for the future of education and learning. This convergence can create immersive, personalized, and engaging learning experiences that address various learning styles and needs.
Here's how this integration can be implemented and its potential benefits:
1. Enhancing educational experiences with realism
- Virtual field trips and explorations: Utilizing VR/AR, students can explore historical sites, geographical locations, or even delve into complex scientific processes within a highly realistic virtual earth environment.
- AI-powered simulations: AI can create and adapt simulations mirroring real-world scenarios, allowing students to experiment, practice skills, and apply theoretical concepts in a safe and engaging setting, according to OpenExO.
2. Real-time intelligence for adaptive and personalized learning
- Personalized learning paths: AI algorithms analyze student data (performance, preferences, pace) in real-time, tailoring educational content and difficulty levels to individual needs, says Microsoft.
- Real-time feedback and adaptation: AI provides immediate feedback and suggests adjustments based on student interactions within the virtual environment, helping them correct mistakes and reinforce understanding.
- Proactive academic support: AI can identify early indicators of academic challenges and recommend additional resources or exercises in real-time.
3. Creating and managing learning environments
- AI-driven virtual learning platforms: AI can enable the creation and management of virtual learning environments, including virtual classrooms, labs, and interactive 3D learning platforms, fostering collaborative learning and engagement.
- Context-aware responses: AI systems can adjust content and delivery methods based on the learner's situation, progress, and needs.
- Integration with existing technologies: AI-driven virtual environments can integrate with Learning Management Systems (LMS) and other existing educational technologies to provide a more holistic and effective learning experience.
Challenges and considerations
- Cost and accessibility: Implementing advanced AI and VR/AR solutions can be expensive, hindering widespread adoption, especially in underfunded regions.
- Technical expertise and infrastructure: Developing and managing these systems require specialized technical expertise and robust network infrastructure.
- Data privacy and security: Protecting student data collected by AI systems is crucial, requiring robust data protection policies and adherence to privacy regulations.
- Algorithmic bias: AI algorithms may inadvertently reinforce existing biases if trained on biased fdata, requiring careful design and ongoing evaluation of these systems.
- Balancing virtual and real-world skills: Over-reliance on virtual learning may potentially limit the development of essential in-person social and practical skills.
The future of real-time intelligence in education
The ongoing development of AI, VR, and AR technologies promises more innovative and immersive learning experiences. Generative AI could automate content creation and adapt lessons in real-time. Virtual mentors powered by AI could provide personalized guidance and support. The continued integration of AI with immersive technologies and virtual earth models is set to transform how people learn and prepare for the future
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real-time intelligence systems & for education and learning eg of mit ocw courses in a realistic virtual earth?
Real-time intelligence systems in education and learning, such as those found in MIT OpenCourseWare (OCW) courses, can be significantly enhanced by incorporating realistic virtual earth environments. This combination offers powerful opportunities for immersive and interactive learning, particularly in fields related to Earth sciences, environmental studies, and urban planning.
Potential applications
- Virtual Field Trips (VFTs): Imagine taking a Virtual Field Trip to explore geological formations, analyze landforms, and investigate natural hazards – all within a dynamic and realistic virtual earth environment.
- Real-time environmental monitoring: Integrating live satellite imagery from platforms like NOAA's interactive map or NASA Earthdata into virtual earth environments can allow students to monitor environmental changes, track storms, and analyze climate patterns in real-time.
- Urban planning and land use studies: Google Earth Engine's extensive catalog of satellite imagery and geospatial datasets, when combined with real-time intelligence systems, could enable students to explore urban development, analyze land use changes, and plan sustainable cities within a realistic virtual earth context.
- Interactive simulations for complex concepts: Virtual reality can visualize abstract concepts in three-dimensional space, helping students grasp complex topics in subjects like mathematics, physics, and chemistry through interactive simulations within virtual environments.
- Personalized learning paths and adaptive assessments: AI-powered learning platforms and adaptive assessments can leverage real-time data from student interactions within virtual environments to tailor learning paths, adjust the difficulty of exercises, and provide personalized feedback, as seen in platforms like Carnegie Learning and Smart Sparrow.
Integration with MIT OCW
- MIT OCW, known for its extensive collection of free online course materials, could incorporate interactive simulations and virtual environments into courses such as "Earth, Atmospheric, and Planetary Sciences".
- The use of tools like GeoWeaver, an open-source workflow management system, could help integrate Python code and Shell scripts within virtual earth environments, allowing researchers and students to leverage computing resources and create shareable workflows for Earth science studies.
Challenges and considerations
- Implementing AI-powered virtual learning solutions can be expensive due to the cost of hardware, software, and training for staff.
- Protecting student data privacy and ensuring responsible use of generative AI tools within educational environments is crucial.
- Educators may require adequate training and support to effectively utilize these new technologies in their classrooms.
In conclusion, the convergence of real-time intelligence systems, MIT OCW courses, and realistic virtual earth environments holds significant potential for transforming education and fostering a deeper understanding of complex scientific and social issues. By embracing these technologies and addressing the associated challenges, educators can create immersive, personalized, and engaging learning experiences that prepare students for a rapidly evolving world.
Society, Information Technology, and the Global University (2025, forthcoming)
Scottish Small Piping album #2 - Honey Piobaireachd (2022)
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Scottish Small Piping album #1 Honey in the Bag ~ Out of the Air tune (2020)
Order Book #4 To the Dance or the Pools? ~ Virtually! How different it is to soak at Harbin Hot Springs, than to realize it in virtual reality (2019)
Order Book #3 Winding Road Rainbow: Harbin, Wandering & the Poetry of Loving Bliss (2018)
Order Book #2 Haiku-ish and Other Loving Hippie Harbin Poetry (2017)
Order Actual-Virtual Ethnographic Book #1: Naked Harbin Ethnography (2016)
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