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Longevity drug development is just
getting started,
and data is ready to lend a helping hand
Dr Raminderpal Singh
Founder (Stealth Startup)
raminderpal@anduril.uk
2
What is your longevity plan?
Raminderpal Singh, Pharma AI IOT, 2021
Imagine this ...
3
“An individual would get a week's course of three injections that introduce an engineered virus, which would cause a mild
immune response – less than that commonly caused by a flu shot. This engineered virus, the adeno-associated virus (AAV),
which has been known to scientists since the 1960s, would have been modified so that it doesn't spread or cause illness. This
version of the virus would carry some Yamanaka factors and perhaps a fail-safe switch that could be turned on with a
well-tolerated molecule such as doxycycline.
Initially, nothing would really change in the way the individual's genes work. However, when the individual begins to see or feel
the effects of aging, maybe around his or her mid-40s, he or she would be prescribed a month's course of doxycycline. With
that, the Yamanaka factors would be activated and immediately start the rejuvenation process. Gray hair would start to
disappear. Wounds would begin healing faster. Wrinkles would start fading. Organs would regenerate. The individual would
think faster, hear higher-pitched sounds, and no longer need glasses to read. Their entire body would feel young again. He or
she would start feeling like they are 35, then 30, then 25.”
SUMMARY OF Lifespan by David Sinclair: Why We Age and Why We Don’t Have to. (Spark Reads)
Shinya Yamanaka - Facts (nobelprize.org)
Raminderpal Singh, Pharma AI IOT, 2021
The Longevity Dividend
4
Raminderpal Singh, Pharma AI IOT, 2021
5
1. Longevity???
2. Industry landscape
3. Data → Systems thinking
Raminderpal Singh, Pharma AI IOT, 2021
Discussion today
6
LONGEVITY???
7
Raminderpal Singh, Pharma AI IOT, 2021
Longevity + healthspan
How to grow old like an athlete | World Economic Forum (weforum.org)
(PDF) How to save Medicare: the anti-aging remedy
(researchgate.net)
8
Damage control vs senolytics
Raminderpal Singh, Pharma AI IOT, 2021
9
Prof Alexey Moskalev
Raminderpal Singh, Pharma AI IOT, 2021
Healthy Longevity Webinar Series - YouTube
Hallmarks, Pathways, and Clocks
(PDF) Biology of Healthy Aging and Longevity (researchgate.net)
The Hallmarks of Aging: Cell
10
Raminderpal Singh, Pharma AI IOT, 2021
Epigenetic predictor of age - PubMed (nih.gov)
[Horvath clock]
11
INDUSTRY LANDSCAPE
12
Raminderpal Singh, Pharma AI IOT, 2021
Sergey Young
13
Longevity_Industry_Landscape_Overview_2019.pdf (dkv.global)
Raminderpal Singh, Pharma AI IOT, 2021
Busy
landscape
& growing
SENS
14
Raminderpal Singh, Pharma AI IOT, 2021
( Strategies for
Engineered Negligible
Senescence )
Dr Aubrey de Grey
Life Biosciences
15
Raminderpal Singh, Pharma AI IOT, 2021
Our research pursues an exciting and
revolutionary alternative [to conventional
efforts]: targeting the pathology and underlying
biology of aging itself. Therapies derived from
this kind of effort have the potential to treat
multiple diseases simultaneously. Our unique
structure leverages synergies between
platforms and related intellectual property.
Life Biosciences
Dr. David Sinclair
BioAge Labs
BioAge CEO: “It’s all about the data.” - Longevity.Technology
BGE-117_Phase_2_Initiation_Press_Release (bioagelabs.com)
16
Raminderpal Singh, Pharma AI IOT, 2021
Dr. Kirsten Fortney
17
AgeX
Raminderpal Singh, Pharma AI IOT, 2021
Dr. Mike West
Deep Longevity
18
Raminderpal Singh, Pharma AI IOT, 2021
Dr Alex Zhavoronkov
19
DATA → SYSTEMS THINKING
20
Dr Andreas Bender, Cambridge Uni; http://DrugDiscovery.net
Everyday traps in data & modelling
Raminderpal Singh, Pharma AI IOT, 2021
21
Raminderpal Singh, Pharma AI IOT, 2021
22
COMMUNITIES → DATA → ANALYTICS → INSIGHTS
New Experiments ← Learning
Causality
Raminderpal Singh, Pharma AI IOT, 2021
Actionable & Valuable
Systems thinking needed
Rich, Diverse,
Clean
Active Fit for Purpose
1. IOT devices → Wealth of data
2. Quantified Self → Communities actively generating clean(-ish) data
3. Self-directed trials (experiments) → Rich diverse data
4. Causality → Meaningful (and therefore actionable) insights
5. [Predictive analytics → AI, ML, mechanistic modelling etc]
23
System value components
Raminderpal Singh, Pharma AI IOT, 2021
24
Cool,
even more data!
Raminderpal Singh, Pharma AI IOT, 2021
Quantified Self (i.e. biohackers who measure properly)
25
Biodata
Nancy Dougherty on Quantified/Unquantified - Quantified Self
Raminderpal Singh, Pharma AI IOT, 2021
Homepage -
Quantified
Self
Self-directed trials (experiments)
26
“The yearlong intervention includes one orientation
by phone, supplemental lifestyle coaching primarily via
technology-based messages, 12 DVD or online
streaming sessions over 3 months, and continued
self-directed weight management for months 4–12.
Participants use MyFitnessPal.com or paper booklets for
self-monitoring weight, diet, and physical activity.
Follow-up assessments at 12 and 24 months are
administered by mail or phone.
The study hypothesis is that compared with usual care,
D-ELITE will lead to greater improvements in 12-month
weight loss, per VA electronic health records, and general
physical health status, assessed using the self-reported
SF-12 physical composite score.”
Raminderpal Singh, Pharma AI IOT, 2021
Causality
27
If causation cannot be reduced to
correlation, how can correlation
serve as evidence of causation?
Raminderpal Singh, Pharma AI IOT, 2021
28
Raminderpal Singh, Pharma AI IOT, 2021
Causality at work
The one circumstance under which scientists
will abandon some of their reticence to talk
about causality is when they have conducted
a randomized controlled trial.
You can read it on Wikipedia or in a thousand
other places: “The RCT is often considered
the gold standard of a clinical trial.”
The Book of Why, Pearl
THANK YOU!
29
Dr Raminderpal Singh
raminderpal@anduril.uk
https://www.linkedin.com/in/raminderpalsingh123/

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Longevity drug development is just getting started, and data is ready to lend a helping hand

  • 1. Longevity drug development is just getting started, and data is ready to lend a helping hand Dr Raminderpal Singh Founder (Stealth Startup) raminderpal@anduril.uk
  • 2. 2 What is your longevity plan? Raminderpal Singh, Pharma AI IOT, 2021
  • 3. Imagine this ... 3 “An individual would get a week's course of three injections that introduce an engineered virus, which would cause a mild immune response – less than that commonly caused by a flu shot. This engineered virus, the adeno-associated virus (AAV), which has been known to scientists since the 1960s, would have been modified so that it doesn't spread or cause illness. This version of the virus would carry some Yamanaka factors and perhaps a fail-safe switch that could be turned on with a well-tolerated molecule such as doxycycline. Initially, nothing would really change in the way the individual's genes work. However, when the individual begins to see or feel the effects of aging, maybe around his or her mid-40s, he or she would be prescribed a month's course of doxycycline. With that, the Yamanaka factors would be activated and immediately start the rejuvenation process. Gray hair would start to disappear. Wounds would begin healing faster. Wrinkles would start fading. Organs would regenerate. The individual would think faster, hear higher-pitched sounds, and no longer need glasses to read. Their entire body would feel young again. He or she would start feeling like they are 35, then 30, then 25.” SUMMARY OF Lifespan by David Sinclair: Why We Age and Why We Don’t Have to. (Spark Reads) Shinya Yamanaka - Facts (nobelprize.org) Raminderpal Singh, Pharma AI IOT, 2021
  • 4. The Longevity Dividend 4 Raminderpal Singh, Pharma AI IOT, 2021
  • 5. 5 1. Longevity??? 2. Industry landscape 3. Data → Systems thinking Raminderpal Singh, Pharma AI IOT, 2021 Discussion today
  • 7. 7 Raminderpal Singh, Pharma AI IOT, 2021 Longevity + healthspan How to grow old like an athlete | World Economic Forum (weforum.org) (PDF) How to save Medicare: the anti-aging remedy (researchgate.net)
  • 8. 8 Damage control vs senolytics Raminderpal Singh, Pharma AI IOT, 2021
  • 9. 9 Prof Alexey Moskalev Raminderpal Singh, Pharma AI IOT, 2021 Healthy Longevity Webinar Series - YouTube
  • 10. Hallmarks, Pathways, and Clocks (PDF) Biology of Healthy Aging and Longevity (researchgate.net) The Hallmarks of Aging: Cell 10 Raminderpal Singh, Pharma AI IOT, 2021 Epigenetic predictor of age - PubMed (nih.gov) [Horvath clock]
  • 12. 12 Raminderpal Singh, Pharma AI IOT, 2021 Sergey Young
  • 14. SENS 14 Raminderpal Singh, Pharma AI IOT, 2021 ( Strategies for Engineered Negligible Senescence ) Dr Aubrey de Grey
  • 15. Life Biosciences 15 Raminderpal Singh, Pharma AI IOT, 2021 Our research pursues an exciting and revolutionary alternative [to conventional efforts]: targeting the pathology and underlying biology of aging itself. Therapies derived from this kind of effort have the potential to treat multiple diseases simultaneously. Our unique structure leverages synergies between platforms and related intellectual property. Life Biosciences Dr. David Sinclair
  • 16. BioAge Labs BioAge CEO: “It’s all about the data.” - Longevity.Technology BGE-117_Phase_2_Initiation_Press_Release (bioagelabs.com) 16 Raminderpal Singh, Pharma AI IOT, 2021 Dr. Kirsten Fortney
  • 17. 17 AgeX Raminderpal Singh, Pharma AI IOT, 2021 Dr. Mike West
  • 18. Deep Longevity 18 Raminderpal Singh, Pharma AI IOT, 2021 Dr Alex Zhavoronkov
  • 20. 20 Dr Andreas Bender, Cambridge Uni; http://DrugDiscovery.net Everyday traps in data & modelling Raminderpal Singh, Pharma AI IOT, 2021
  • 22. 22 COMMUNITIES → DATA → ANALYTICS → INSIGHTS New Experiments ← Learning Causality Raminderpal Singh, Pharma AI IOT, 2021 Actionable & Valuable Systems thinking needed Rich, Diverse, Clean Active Fit for Purpose
  • 23. 1. IOT devices → Wealth of data 2. Quantified Self → Communities actively generating clean(-ish) data 3. Self-directed trials (experiments) → Rich diverse data 4. Causality → Meaningful (and therefore actionable) insights 5. [Predictive analytics → AI, ML, mechanistic modelling etc] 23 System value components Raminderpal Singh, Pharma AI IOT, 2021
  • 24. 24 Cool, even more data! Raminderpal Singh, Pharma AI IOT, 2021
  • 25. Quantified Self (i.e. biohackers who measure properly) 25 Biodata Nancy Dougherty on Quantified/Unquantified - Quantified Self Raminderpal Singh, Pharma AI IOT, 2021 Homepage - Quantified Self
  • 26. Self-directed trials (experiments) 26 “The yearlong intervention includes one orientation by phone, supplemental lifestyle coaching primarily via technology-based messages, 12 DVD or online streaming sessions over 3 months, and continued self-directed weight management for months 4–12. Participants use MyFitnessPal.com or paper booklets for self-monitoring weight, diet, and physical activity. Follow-up assessments at 12 and 24 months are administered by mail or phone. The study hypothesis is that compared with usual care, D-ELITE will lead to greater improvements in 12-month weight loss, per VA electronic health records, and general physical health status, assessed using the self-reported SF-12 physical composite score.” Raminderpal Singh, Pharma AI IOT, 2021
  • 27. Causality 27 If causation cannot be reduced to correlation, how can correlation serve as evidence of causation? Raminderpal Singh, Pharma AI IOT, 2021
  • 28. 28 Raminderpal Singh, Pharma AI IOT, 2021 Causality at work The one circumstance under which scientists will abandon some of their reticence to talk about causality is when they have conducted a randomized controlled trial. You can read it on Wikipedia or in a thousand other places: “The RCT is often considered the gold standard of a clinical trial.” The Book of Why, Pearl
  • 29. THANK YOU! 29 Dr Raminderpal Singh raminderpal@anduril.uk https://www.linkedin.com/in/raminderpalsingh123/