10/2 - Harvard ARDD Aging Research and Drug Development conference 10/1/26-10/3/26 in the TreeHouse in Allston, MA

Dear Dr Chang Eui Song DDS (in Korea, now) & re your hormone in brain for longevity hypothesizing at Harvard ARDD (& not knowing English, so this email will be translated), George (Church), Akram (Baharlouei), Alex (Zhavoronkov), Petrina (Kamya), Kejun (Ying), Le Song, Peter (Norvig), All,

Greetings, and as a follow up to my Fri, Oct 2, 3:54 PM to you Chang Eui Song (DDS), Akram Baharlouei (Palo Alto Labs' ML), Dr. George Church, all, and re -

Dear George (gchurch@genetics.med.harvard.edu), Akram (ABaharlouei@altoslabs.com) and Jesse (jpoganik@bwh.harvard.edu),

"Thanks for your great question, Akram, to George after your "Multiplex testing of de-aging polypharmacy & targeted delivery," something to the effect: if you had a magic machine, what would you target?

George, Akram and Jesse, how best to revisit your reply to Akram, such that we could create this 'magic machine' beginning at the Harbin Hot Springs' gatehouse in Google street view with time slider ~ https://goo.gl/maps/7gSsSTweRCBo9gf87 ~ (https://twitter.com/HarbinBook ~ http://bit.ly/HarbinBook) - and with its 3 dates presently: 2007, 2012, and 2024? And at the #GCellView level and #GmoleculeView level, and with little #GPegman becoming our #AvatarAgentElectonicHeatlhRecords as #DigitalHealthTwins? IN these regards, how to #TimeSlideGenes & #TimeSlideCells, too, virtually in each of our #AvatarAgentEHR back to 2007, 2012, adn 2024, and when we were 7, and 12, and 24 even, and possibly with #AlphFoldServer too, focusing on coding first your reply, Geoge, to Akram's 'magic machine' question - and potentially with you Jesse and Brigham and Women's Hospital and Harvard Medical School helping Altos Lab with your machine learning expertise Akram, and World University and School, building on MIT OCW in 7 languages, code little Pegman as our #AvatarAgentElectonicHeatlhRecords as #DigitalHealthTwins? And how further could we time-slide back, or forward, with OSK drug therapies: our avatar agent electronic medical records / digital health twins say 75%, 50%, 25% within a realistic virtual earth (and see the PPPPS) - and then upload this to our bodies.

How best could AltosLabs in Palo Alto with World University and School, in a #GrowWithGoogleWUaS program, further code this 'magic machine' first for how George responded to Akram's question ... and in terms of aging reversal genetic, with extreme longevity genetic drugs emerging, FDA approved - by 2026? Brainstorming, could we even time slide our virtual genes out 1500 years, and in also reversing the direction of time such that we could become like 25 years of age in our avatar agent electronic health records, and then upload this to our bodies via drugs, wyss anti fouling sensor, vaccines, or smartwatches with a skin patch / similar - and see below.

Thanks for your question, Akram (Baharlouei @ ABaharlouei@altoslabs.com - https://www.linkedin.com/in/akram-baharlouei-61784421 -& https://www.altoslabs.com/ in Palo Alto colleagues) and looking forward to building this out potentially.

Further,

How best to develop a realistic virtual earth - e.g. think a forked Google Street View with time slider, at the GCellView, GMoleculeView, GAtomView, and GQubitView levels, & with Google pegman in Street View becoming our avatar agent for electronic medical records, digital health twins - eg for scientific hypothesis testing early on re your hormone in brain for longevity hypothesizing at Harvard ARDD, and see the PPS?

https://share.gemini.google/s004HVzzuoZj & see: https://scott-macleod.blogspot.com/2026/09/schisandra-chinensis.html ~

How best to develop a #RealisticVirtualEarthFor, a #RVEforHypothesisTesting - eg think a forked #GoogleStreetView with #TimeSlider & with #Gpegman becoming our #AvatarAgentElectronicMedicalRecords or #DigitalHealthTwins ? https://t.co/riX0twp9wz & see: https://t.co/vNHkatL2Zc ~
— WorldUnivandSch (@WorldUnivAndSch) October 3, 2026

https://x.com/WorldUnivAndSch/status/2106361607706247241

https://x.com/WUaSPress/status/2106361894110126358

I and World University and School would like to take the next step in developing this realistic virtual earth - and see Peter Norvig's INCREDIBLE #ToolifyAIWUaS article: https://www.toolify.ai/ai-news/revolutionizing-education-with-machine-learning-and-ai-2574306 - a RVE for aging research, a rve for drug development, a rve for aging reversal, and rve for extreme longevity with a RVEforGenetics, and a RVEforEverything - and such that you Dr Chang Eui Song, (and people like Harvard ARDD's Leanne Ye, and her team / company in Shanghai, and Dr. Lauc in Croatia, could all 'wiki'-add, or code this realistic virtual earth or add text in the sidebar to this)?

Alex (Zhavoronkov), Petrina (Kamya), Kejun (Ying), Le Song, Peter (Norvig), all and all regarding World University and School in a #GrowWithGoogleWUaS program (and so with Google IT infrastructure) :

How to take the very first step in developing all of this on the digital side of a digital-physical aging reversal genetics' conversation from a forked Google Street View with time slider, from the Harbin Hot Springs' gate house in Street View even?

And Alex (Zhavoronkov), Petrina (Kamya), Kejun (Ying), Le Song, Peter (Norvig), how might World University and School in a #GrowWithGoogleWUaS program potentially collaborate with you, and especially your companies coders (and possibly further all of your companies' and universities' coders) - an hour per day even? - in developing this ?

3 A

And how best to develop this realistic virtual earth with AI, ML & emerging information technologies for aging research and drug development such that we could, theoretically, 'wiki-add' most every single one of your universities & companies' biomedical research projects, virtual drug developments, - and to this iterating realistic virtual earth for drug development and aging research & re #TextInTheSideBar ?

3 B

And how best to code this emerging realistic virtual earth, this RVE for drug development - for clinical trials as well?

And as I wrote in a previous email on October 8, 2026 to most of you -

"Could we suggest that we at Harvard ARDD have proven aging reversal with extreme longevity if we can code the above re the Harbin Hot Springs' gate house in these dates and others interoperating with our #AvatarAgentElectronicMedicalRecords emerging from GPegman ?"

4 A

George:

I'd suggest here that a realistic virtual earth is neither a simulation nor modeling, but an iterating realistic virtual earth (potentially interoperable with an emerging realistic virtual universe like Illustris in the Harvard Astronomy department, for example ...)

(Will follow up later on free-to-students' World University and School in Korea in Korean, in China in traditional Chinese, and in the other countries' MIT OCW translated courses are in re MIT languages - https://opencw.aprende.org/courses/translated-courses/ & https://ocw.mit.edu/ - and in Croatia in Croatian later, etc. - https://wiki.worlduniversityandschool.org/wiki/Nation_States ... and with classrooms and STEM field sites in a realistic virtual earth too ... and re WUaS ~250 planned Medical Schools with planned Dental Schools and even with Toyota Humanoid Robot MD and DDS professors of surgery for example, ... operating out of a #RealisticVirtualEarthForSurgery and a #RealisticVirtualEarthForGenes +).

Thanks, regards, best wishes,

Scott

Blogged about this here today -

Thursday, October 22, 2026

Korean White Forsythia (Abeliophyllum distichum): 10/2 - Harvard ARDD Aging Research and Drug Development conference 10/1/26-10/3/26 in the TreeHouse in Allston, MA

https://scott-macleod.blogspot.com/2026/10/korean-white-forsythia-abeliophyllum.html (in daily blog)

- Scott GK MacLeod
Founder, President, CEO & Professor
at / of best STEAM CC licensed OCW, Wiki,
World University & School (WUaS)
- USPS US Post Office, PO Box 132, General Delivery, Canyon, CA 94516
- https://www.youtube.com/@ScottMacLeodWorldUniversity/videos

1) non-profit 501(c)(3) Public Charity
building on CC-4 licensed MIT OCW in 7 languages -

https://ocw.mit.edu/ & https://opencw.aprende.org/courses/translated-courses/ -
http://worlduniversityandschool.org

- president@worlduniversityandschool.org

- https://twitter.com/WorldUnivAndSch

2) for profit general stock company WUaS Corporation in CA - http://worlduniversityandschool.org/AcademicPress.html
- wuas_ceo@worlduniversityandschool.org

- https://twitter.com/WUaSPress

How best to develop a #RealisticVirtualEarthFor, a #RVEforHypothesisTesting - eg think a forked #GoogleStreetView with #TimeSlider & with #Gpegman becoming our #AvatarAgentElectronicMedicalRecords or #DigitalHealthTwins ?
https://share.gemini.google/s004HVzzuoZj & see: https://scott-macleod.blogspot.com/2026/09/schisandra-chinensis.html ~

https://x.com/WorldUnivAndSch/status/2106361607706247241

https://x.com/WUaSPress/status/2106361894110126358

https://share.gemini.google/s004HVzzuoZj

AND

How. best to develop a realistic virtual earth - eg think a forked Google Street View with time slider & with pegman becoming our avatar agent electronic medical records, digital health twins - for scientific hypothesis testing, & with other Google AI And ML? How to test the hypothesis that a specific hormone affects the brain to extend life in this #RVEforhypothesis testing, eg by doing an AI scientific literature review, by adding a picture or molecular model of this hormone to text-in-the-sidebar of G Street View, and regarding the part of the brain it affects, at the molecular and cellular levels etc. designing the experiment, and then doing the experiment virtually first, with implications output for doing the study in vivo?

To build a Realistic Virtual Earth (RVE) for Hypothesis Testing—combining spatial geospatial rendering, time-slider environmental contexts, and personal digital health twins—you can leverage Google Cloud’s geospatial stack, Google DeepMind’s biological AI tools, and medical language models.

Part 1: System Architecture for the RVE Platform

+-----------------------------------------------------------------------------------+
|                                 RVE UI LAYER                                      |
|  CesiumJS / Unreal Engine 5  <--->  Google Photorealistic 3D Tiles API            |
|  Sidebar UI: 3Dmol.js / NGL Viewer (Molecular) + FHIR EMR Dashboard (Avatar Agent)|
+-----------------------------------------------------------------------------------+
                                         |
                                         v
+-----------------------------------------------------------------------------------+
|                               RVE CORE PLATFORM                                   |
|  1. Geospatial Engine: Google Earth Engine (Historical Time-Slider & Climate)    |
|  2. Agent Framework: Avatar Pegman (Digital Twin / OMOP CDM / FHIR EMR)          |
|  3. Orchestration: Google Cloud Vertex AI Pipelines                               |
+-----------------------------------------------------------------------------------+
                                         |
                                         v
+-----------------------------------------------------------------------------------+
|                             GOOGLE AI / ML SUITE                                  |
|  * Gemini 1.5 Pro / MedLM: Literature Synthesis & Experimental Design            |
|  * AlphaFold 3 / AlphaProteo: Molecular Docking & Binding Affinity Predictions   |
|  * Differential Equation / Neural ODE Models: Cellular Pathways & Dynamics        |
+-----------------------------------------------------------------------------------+

1. Spatial Geospatial & Temporal Rendering Engine

Base Viewer: Fork an open-source 3D geospatial engine such as CesiumJS or Unreal Engine 5 (via the Cesium plugin) integrated with Google Photorealistic 3D Tiles API.
Temporal Layer (Time Slider): Connect the temporal slider to Google Earth Engine API and historical street-level imagery archives. This supplies time-series environmental data (e.g., air quality indices, temperature variations, UV index, urban greenspace density) mapped to specific geographic coordinates.

2. Avatar Pegman as an EMR-Linked Digital Health Twin

Data Standard: Map the avatar agent to standard HL7 FHIR resources or an OMOP Common Data Model (CDM) schema.
Spatial Agent Logic: Pegman acts as an autonomous agent representing a cohort or individual. As Pegman moves through space and time on the RVE, environmental exposures dynamically update the agent's physiological baseline parameters.

3. Google AI / ML Middleware Integration

Vertex AI Pipelines: Orchestrate workflows between spatial queries, biological modeling, and inference tasks.
Gemini / MedLM: Drive automated literature retrieval, hypothesis synthesis, and natural-language query interfaces in the sidebar.
AlphaFold 3 & AlphaProteo: Simulate 3D protein structures, ligand-receptor binding interactions, and custom biological agent modifications.

Part 2: Testing the Longevity Hormone Hypothesis

Here is a step-by-step workflow using Klotho (a well-established lifespan-extending hormone) targeting FGF21 / FGFR1c-Klotho receptor complexes in the brain’s choroid plexus and hippocampus.

[Phase 1: Lit Review] ---> [Phase 2: UI Context Integration] ---> [Phase 3: Multi-Scale Brain Mapping]
                                                                                  |
[Phase 6: In-Vivo Protocol] <--- [Phase 5: In-Silico Experiment] <----------------+

Step 1: AI Scientific Literature Review (Gemini / MedLM Agent)

The agent executes an automated pipeline querying PubMed, PMC, and bioRxiv to extract molecular pathways, target receptors, and dosage-response metrics.

Key Extracted Synthesis:
Hormone Target: Recombinant $\alpha$-Klotho ($\text{sKL}$).
Primary Brain Target: Hippocampal dentate gyrus (neural stem cell niche) and choroid plexus.
Receptor Mechanism: Forms a binary complex with FGFR1c, triggering the extracellular signal-regulated kinase ($\text{ERK1/2}$) and $\text{Akt}$ phosphorylation cascades, upregulating $\text{NMDAR}$ subunit GluN2B, and decreasing neuroinflammation ($\text{TNF-}\alpha$, $\text{IL-6}$).

Step 2: Sidebar UI Integration (Spatial & Biological Mapping)

When selecting Pegman or clicking a target brain region in the RVE interface:

Left Main Window: RVE environment (e.g., Street View at a specific geographic location with environmental stress sliders like particulate matter $\text{PM}_{2.5}$).
Right Sidebar:
- Molecular View: Embedded 3Dmol.js or NGL Viewer showing the interactive 3D co-crystal structure of Klotho bound to FGFR1c (PDB ID derived via AlphaFold 3).
- Spatial Health Panel: Real-time physiological telemetry of the Pegman avatar (e.g., baseline plasma Klotho concentration $c_0 = 500 \text{ pg/mL}$, biological age vs. chronological age).

Step 3: Multi-Scale Brain Mapping (Molecular to Cellular Levels)

Scale	Biological Domain	Mathematical / Machine Learning Representation
Molecular	Hormone-Receptor Binding Kinetics	Rate equations: $\frac{d[RL]}{dt} = k_{\text{on}} [R][L] - k_{\text{off}} [RL]$ with $K_d = \frac{k_{\text{off}}}{k_{\text{on}}}$
Cellular	Neural Stem Cell Proliferation & Microglial Activation	Systems biology differential equations (ODE/SDE) predicting $\text{p16}^{\text{INK4a}}$ senescence reduction
Tissue / Organ	Hippocampal Long-Term Potentiation (LTP) & Synaptic Density	Neural network surrogate modeling synaptic transmission efficiency ($V_m$)
Organism / Population	Survival Function & Cox Proportional Hazard	Survival model: $h(t \mid X) = h_0(t) \exp(\beta_1 X_{\text{Klotho}} + \beta_2 X_{\text{environment}})$

Step 4: Designing and Executing the Virtual (In-Silico) Experiment

A. Virtual Cohort & Experimental Groups

Define two avatar agent populations within the RVE across environmental conditions (e.g., low vs. high urban pollution exposure):

Control Group ($N=1,000$): Vehicle administration ($c_{\text{Klotho}} = \text{baseline}$).
Treatment Group ($N=1,000$): Systemic or central administration of elevated $\alpha$-Klotho ($c_{\text{Klotho}} = 2.5 \times \text{baseline}$).

B. Simulation Execution

Molecular Dynamics (AlphaFold 3 / GROMACS): Calculate binding free energy ($\Delta G_{\text{bind}}$) of Klotho variants to brain FGFR1c receptors.
Cellular Pathway Simulation: Integrate drug delivery kinetics across the Blood-Brain Barrier (BBB) into a differential kinetic solver:
$$\frac{d[\text{p-ERK}]}{dt} = \frac{V_{\max} \cdot [RL]}{K_m + [RL]} - k_{\text{dephos}} [\text{p-ERK}]$$
Lifespan Acceleration Simulation: Project survival curves using a Monte Carlo Markov Chain (MCMC) engine over a virtual 30-month rodent equivalent timeframe.

       100% |-------------\
            |              \=== Treatment (Klotho Boosted)
  Survival  |               \--- Control
     Rate   |                 \
         0% +---------------------------------->
            0        15        30  Months

Step 5: Translating Virtual Results into an In-Vivo Protocol

Based on the virtual experiment yielding a statistically significant hazard ratio reduction ($\text{HR} = 0.74, p < 0.001$), the RVE exports a laboratory-ready in vivo translation guide:

===================================================================================
                       IN-VIVO TRANSLATIONAL PROTOCOL OUTPUT
===================================================================================

1. ANIMAL MODEL & SAMPLE SIZE
   * Species: C57BL/6J Mice (Aged 18 months, human equivalent ~60 years).
   * Sample Size: N = 40 per arm (20 Male, 20 Female) powered for 80% beta at alpha=0.05.

2. DOSAGE & ADMINISTRATION ROUTE
   * Compound: Recombinant α-Klotho protein.
   * Route: Intranasal administration (to bypass BBB and target olfactory bulb / hippocampus).
   * Dose: 10 µg/kg body weight, administered twice weekly for 4 months.

3. PRIMARY & SECONDARY ENDPOINTS
   * Primary Endpoint: Median lifespan extension and Kaplan-Meier survival curves.
   * Secondary Biological Biomarkers:
     - Western blot / ELISA: Brain p-ERK1/2 to ERK ratio and GluN2B expression in hippocampus.
     - Immunohistochemistry: Ki-67+ and DCX+ neuroblasts in dentate gyrus (neurogenesis).
     - Single-cell RNA-seq: Reduction of senescent cell markers (p16INK4a, p21) in microglia.

4. BEHAVIORAL & COGNITIVE ASSAYS
   * Morris Water Maze & Novel Object Recognition at Months 1, 2, and 4 post-treatment.

5. SAFETY BOUNDS & TOXICOLOGY ALERTS
   * Monitor serum calcium and phosphate levels bi-weekly (to detect potential hyperphosphatemia).
===================================================================================

PPS

ARDD 2026 — Day Three Recap - re Kejun Ying — Stanford University School of Medicine, Le Song — Professor, Mohamed bin Zayed University of Artificial Intelligence, Petrina Kamya — Global Head of AI Platforms, Insilico Medicine

Kejun Ying — Postdoctoral Scholar, Stanford University School of Medicine

14:40–15:00 · "An open world model for human health and mortality"

Key takeaway: World models borrowed from video generation and protein language models can forecast individual disease trajectories and link protein structure to species lifespan.

• Treats health as a "movie," not a sentence: 11 data domains (EHR, labs, MRI, proteomics, genetics and more) merge into a joint health state evolving in continuous time.

• State-of-the-art prediction for more than 1,000 diseases up to 20 years out; predicts unseen diseases from a text description; simulated drug effects (e.g., statins) were checked against 286 real trials.

• Structural model of 2M proteins from 287 species found 170 proteins whose structural features track maximum lifespan, independent of expression; it predicts lifespan about as well as methylation clocks (Cape golden mole predicted at ~30 years).

• Starting his own lab in January 2027.

Virtual Cell in Time Forum — Session II

15:15–16:45 · Cedar Grove · Parallel track · Chair: Max Unfried, The Thalion Initiative

Le Song — Professor, Mohamed bin Zayed University of Artificial Intelligence

15:15–15:35 · "A World Model of the Virtual Cell"

Key takeaway: A true virtual cell should be multiscale, multimodal and stateful, and should drive generative design toward desired cell states.

• Current models handle one perturbation and one response in one cell type.

• Needed: multiscale simulation (DNA to cell), a persistent state for sequential perturbations, and "inverse design" of molecules for a target cell state rather than a binding target.

• Hybrid architecture: graph neural networks on pathway knowledge (Reactome, KEGG) plus transformers to learn what is missing.

• Multi-stage training on single modalities, then paired data; temporal live imaging and perturbation data are crucial.

• The field is at the "GPT-1 or AlphaFold 1" stage; GenBio AI released a model (transcribed "iCell") pitched as the first world model of a human cell.

Petrina Kamya — Global Head of AI Platforms, Insilico Medicine

15:35–15:55 · "Introducing Insilico Medicine's Virtual Aging Cell"

Key takeaway: The Virtual Aging Cell is a multi-agent system that simulates interventions across five biological scales, now undergoing prospective lab validation.

• Insilico has 10 clinical-stage programs (one in Phase 3), 18 IND-enabling studies and more than 47 internal programs.

• Frontier LLMs do well at single-step retrosynthesis but poorly at ab initio tasks; Insilico's Pharmaceutical Superintelligence framework trains and benchmarks models on 12 years of data.

• Lineage: 2016 embryonic-development AI (COX7A1) and the Precious1GPT–3GPT models.

• ~43 specialized agents per layer across molecular, intracellular, intercellular, tissue/organ and organism scales; a patient-seeded baseline graph is compared with the post-intervention graph.

• Q&A: prospective validation on molecules with unknown mechanism, in Insilico's robotic lab, is the only way to rule out literature leakage.

PPPS

ARDD 2026 — Day Two Recap - re

Multiplex testing of de-aging polypharmacy & targeted delivery

12:10–12:30 · Canopy Hall

George Church — Professor, Harvard Medical School

Key takeaway: Multi-gene therapies, ML-designed delivery vectors and engineered organs aim to address aging across several pathways at once.

• Single-pathway interventions may yield only ~2–20% effects; combinations (e.g., alpha-Klotho, TGF-beta receptor 2, FGF21) showed synergy in mouse diabetes and kidney models.

• OSK delivered in a single AAV to mice late in life (after half the cohort had died) increased longevity.

• Machine learning plus multiplex libraries: Dyno Therapeutics AAV capsids reported with 280× higher brain delivery and 50× lower liver targeting.

• Herpesvirus-based vectors under development to carry dozens of genes.

• iPSC-derived oligodendrocyte precursor cells rescued mice from an MS-like demyelinating disease; heading to clinical trials.

• Xenotransplantation: pig organs with 69 edits (retrovirus knockouts, glycan removal, seven human transgenes) in an FDA-cleared trial; later patients have fared better than the first.

• Allogeneic CAR-T programs from companies co-founded by Luhan Yang (e.g., QT-019B, QN-139b) are in FDA clinical trials for autoimmune disease.

AND

Leveraging Glycans in Precision Longevity: From Individualized Monitoring to Targeted Intervention

18:20–18:40 · Canopy Hall

Gordan Lauc — Professor, University of Zagreb; Co-founder, GlycanAge

Key takeaway: IgG glycans are modifiable biomarkers that track biological age, predict disease years ahead and act as effectors of inflammation.

• His lab has profiled glycans in >300,000 people across major cohorts.

• Glycan profiles become more pro-inflammatory with age: linearly in men, while women are protected until menopause and then age rapidly.

• Each additional year of GlycanAge corresponds to ~1% higher all-cause mortality hazard; largely additive to standard blood biomarkers and uncorrelated with epigenetic clocks.

• Pro-inflammatory glycan changes appear up to a decade before diagnosis of diabetes, cardiovascular and inflammatory disease.

• Weight loss and calorie restriction improve GlycanAge; hormone therapy reverses the perimenopausal rise in most women; metformin, SGLT2 inhibitors and GLP-1s help some but not all patients.

PPPPS

How with #YamanakaFactorsOSK to #ReverseAging w emerging timelines pot. to say the 75%, 50% & 25% ages of say 100 mice that are one year old, 100 dogs that are 10 years old, & then 100 humans that are around 100 years of age? https://share.gemini.google/tWnlx9sCEYjv ! https://wiki.worlduniversityandschool.org/wiki/Aging_Reversal_Genetics ~

https://x.com/WorldUnivAndSch/status/2109312098744549497

https://x.com/WUaSPress/status/2109312192130826577

https://x.com/Q_YogaMacFlower/status/2109312600886649201

https://x.com/scottmacleod/status/2109312034181677427

https://x.com/TheOpenBand/status/2109312543026233370

https://x.com/HarbinBook/status/2109312308044529906

https://x.com/sgkmacleod/status/2109312455168192818

AND

in a #DigitalPhysical #RealisticVirtualEarthForOSK, a forked #GStreetView with #GTimeslider & at #Gcell, #Gmolecule, #Ggene #Gqubit etc view levels?

to #ReverseAging w emerging timelines pot. to say the 75%, 50% & 25% ages of say 100 mice that are one year old, 100 dogs that are 10 years old, & then 100 humans that are around 100 years of age?

https://share.google/aimode/DFQL166bCi2vKz5rb

& in a #DigitalPhysical #RealisticVirtualEarthForOSK, a forked #GStreetView w #GTimeslider & @ #Gcell, #Gmolecule, #Ggene #Gqubit etc view levels, how to #ReverseAging w emerging timelines pot. to 75%, 50% & 25% of 100 mice, dogs, humans that are old?
https://share.google/aimode/DFQL166bCi2vKz5rb ~

https://x.com/WorldUnivAndSch/status/2109334818643386471

https://x.com/Q_YogaMacFlower/status/2109335267551383974

https://x.com/scottmacleod/status/2109338746135228547

https://x.com/TheOpenBand/status/2109338043828322418

https://x.com/sgkmacleod/status/2109338231687008304

https://x.com/HarbinBook/status/2109338491951935959

https://x.com/WUaSPress/status/2109338601293283594

Retweeting -

How with #YamanakaFactorsOSK to #ReverseAging w emerging timelines pot. to say the 75%, 50% & 25% ages of say 100 mice that are one year old, 100 dogs that are 10 years old, & then 100 humans that are around 100 years of age? https://share.gemini.google/tWnlx9sCEYjv ! https://wiki.worlduniversityandschool.org/wiki/Aging_Reversal_Genetics ~

https://x.com/WorldUnivAndSch/status/2109312098744549497

PPPPPS

Dear Chang Eui Song,

68 yo dentist with law degree Chang Eui Song, with partner, who didn't know English & was hypothesizing a hormone in brain for longevity

dilton@naver.com

brought to mind,

Park Choong-Hwan at ucsb anthropology (with CIA in attached adjacent building???) from 2001-2003 in my cohort when I began in 2001 & was writing about tourism in china for PhD - possibly re sex slavery on Chinese farms????

"Delight ...

https://www.anth.ucsb.edu/people

and stanford alum ucsb anthro student daniel mandell - now in CIA in Thailand even ... and re psychopathic instructor at the time francesca bray ... and re a woman named tran, from vietnam, a flatmate toward the end of my time there, who was acting very strangely toward me

Had talked with

Choong-Hwan Park at UCSB in 2001-2003 about

Nobel peace prize nominee -

Quaker

Ham Sok-Hon

https://en.wikipedia.org/wiki/Ham_Seok-heon

https://www.koreatimes.co.kr/amp/opinion/20110519/legacy-of-ham-sok-hon

Society, Information Technology, and the Global University, (forthcoming, Academic Press at World University and School, 2027)

Scottish Small Piping album #2 - Honey Piobaireachd (2022)

- https://twitter.com/TheOpenBand (Berkeley)

- Poetry! Order Book #5 Light, Float, Sit, Watsu ~ Virtually (2021, Academic Press at WUaS)

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, Academic Press at WUaS)

Order Book #3 Winding Road Rainbow: Harbin, Wandering & the Poetry of Loving Bliss (2018, Academic Press at WUaS)

Order Book #2 Haiku-ish and Other Loving Hippie Harbin Poetry (2017, Academic Press at WUaS)

Order Actual-Virtual Ethnographic Book #1: Naked Harbin Ethnography (2016, Academic Press at World University and School)

- https://twitter.com/HarbinBook

1) non-profit 501(c)(3) Public Charity
building on CC-4 licensed MIT OCW in 7 languages -

https://ocw.mit.edu/ & https://opencw.aprende.org/courses/translated-courses/ -
http://worlduniversityandschool.org

- president@worlduniversityandschool.org

- https://twitter.com/WorldUnivAndSch

2) for profit general stock company WUaS Corporation in CA - http://worlduniversityandschool.org/AcademicPress.html
- wuas_ceo@worlduniversityandschool.org

- https://twitter.com/WUaSPress

https://wiki.worlduniversityandschool.org/wiki/Nation_States (planning ~200 countries' WUaS world class universities in their main languages, per the Olympics, for free-to-students' WUaS degrees from home)

https://wiki.worlduniversityandschool.org/wiki/Languages (planning to be in all 7159 living languages, each as or with wiki schools for open people-to-people wiki-teaching and wiki-learning, e.g. from here - https://wiki.worlduniversityandschool.org/wiki/Subjects)

World University & School Innovation Research -
- http://scottmacleod.com
- https://twitter.com/scottmacleod
- https://x.com/Q_YogaMacFlower/status/1815700381474689273
- http://www.linkedin.com/in/scottgkmacleod

- https://twitter.com/sgkmacleod (all 7,159 known living languages at WUaS)

- https://scott-macleod.blogspot.com/search/label/global%20university
- https://worlduniversityandschool.blogspot.com/search/label/global%20university

* * *

Stanford [codex_group_meetings] TODAY! CodeX Mtg (10/22@1.30p PT): Project Fungzhao (via Zoom)

Dear Yin Huang, Roland, Stanford Law CodeX, all,

https://www.linkedin.com/in/yhuang12/

Thanks so much for your great Stanford Law CodeX Project Fungzhao presentation, regarding, the prototype of a tool for visualizing data from the USPTO Patent File Wrapper API, - and fascinating (potentially re a realistic virtual earth too, and see Peter Norvig's INCREDIBLE #ToolifyAIWUaS article -https://www.toolify.ai/ai-news/revolutionizing-education-with-machine-learning-and-ai-2574306 - mentioning a realistic virtual earth for the first time that I know of other than World University and School mentioning it).

Asked this in the text chat:

Yin Huang, Great! How to add this great Project Fungzhao to an emerging #RealisticVirtualEarthForPatenting - and think of a forked Google Street View with time slider, at the GCellView, GMolecule, GQubit levels that’s emerging? Just emailed Harvard Aging Research and Drug Development (10/1-10/3/26) conference researchers, and re also a realistic virtual earth for Pharma too (re your showing Revolutionary Medicine’s patenting) - and see https://scott-macleod.blogspot.com/2026/10/korean-white-forsythia-abeliophyllum.html … Free-to-students’ World Univ & Sch, building on CC-4 MIT OCW in 7 languages, is developing this Realistic Virtual Earth for Everything (and in developing also 250+ law schools online in all 200 countries and in their main languages) and see the beginning Law Schools - https://wiki.worlduniversityandschool.org/wiki/World_University_Law_School and also - https://wiki.worlduniversityandschool.org/wiki/Patenting . Thanks Scott GK MacLeod (sgkmacleod@worlduniversityandschool.org)

Thank you, Yin Huang, so much! Are you focusing on even patents for aging reversal genetic drug therapy emerging, possibly FDA approved first by 2050? - Scott

Life Biosciences :)? - with its ER-100 gene drug therapy for 2 glaucoma conditions, which seems to be reversing aging potentially, & re epigenetic reprogramming, and which is going through Phase 1 clinical trials presently and which seems promising ... is a potentially fascinating company to explore in some of Project Fungzhao's regards.

Created these Tweets, and a Linkedin post too -