Tom Nodine - How AI Helps Us Live Longer.pdf
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Tom Nodine is the founder and CEO of Human Life Expectancy, Inc. He discusses how AI and machine learning can help increase human life expectancy by accelerating the development of ideas that save lives. Some key points: - AI will help generate "good ideas" to solve issues and implement solutions that extend human life, such as finding cures for aging and diseases. - Epigenetic tests can reveal a person's biological age and health risks, and AI is needed to analyze these complex data and discover which interventions are most effective for different groups. - Insurers partnering with epigenetic science companies could benefit customers with improved health and lower claims, while gaining new insights to enhance business
Tom Nodine - How AI Helps Us Live Longer.pdf
- 1. How AI Helps Us Live Longer July 20, 2023 With: Tom Nodine Founder & CEO, Human Life Expectancy, Inc. [email protected]
- 2. 2 Hello! Qualifications § Expert in technology and its impacts on human longevity § Founder of Human Life Expectancy Inc. and creator of the Human Life Expectancy Channel on YouTube § Recently completed study of how global life expectancy more than doubled since 1900 § Lead KPMG’s Global Insurance Strategy Practice and Booz & Company’s US Insurance Practice § Has helped top companies around the globe to leverage technology to transform their businesses § Lead Technology Strategy and Innovation for a major US insurer with responsibility for a >$1.3B yearly budget § Has collaborated closely with renowned experts in innovation, epigenetics, actuarial science, regulations, risk, and valuation § Received a Masters in Management Degree with distinction from the J.L. Kellogg Graduate School of Management Tom Nodine Founder and CEO Human Life Expectancy, Inc. CONFIDENTIAL
- 3. 3 “Good ideas” have more than doubled global human life expectancy (HLE) since 1900, saving millions of lives § Vaccination: – In 1857 Charles Dickens wrote, “Few thoughts have given more material benefit to man than that which arose in Dr. Jenner’s mind, when it occurred to him that by putting intention in the place of accident, the benefit of exemption from small-pox might be extended.” § Pasteurization: – We can kill germs in our milk that kill us § Antibiotics – We can kill specific germs that kill us § Public Health – By studying diseases, we can minimize their emergence and transmission § See our video on this topic for more:
- 4. 4 AI will undoubtedly accelerate the pace of these “good ideas” saving and extending many more lives § Ideas are the ”Infinite Resource” – Ramez Naam § Data & information are expanding at an exponential pace. § Many good ideas will help us live longer in the future – Aging is itself a disease, which can be cured – We can and should hold our governments accountable for increasing the life expectancies of the citizens they serve – We can cut our carbon emissions and create more circular economies – Many, many more… § AI will be instrumental in generating these “good ideas” and solving the many issues necessary to implement them
- 5. 5 At Human Life Expectancy, Inc., our goal is to help as many people as possible to live as long as possible as soon as possible
- 6. 6 Today we help people to live longer by bringing epigenetic tests to businesses of all kinds Genetic Bases Genome Epigenome Epigenetic Bases § DNA § Genes make proteins “Complete Parts List” § Read with: DNA microarray, Whole Genome Sequencing (WGS) § Heredity/Inborn § “Manufacturer’s Defect” (should be “covered by Warranty”) § DNA + Gene Expression § Helps turn genes on and off “What Parts Needed When” § Read with: Methylation array, WGBS-Seq, Nanopore, (RRBS-Seq, MeDIP, ChIP-Seq) § Environment/Acquired (also inherited) § “Wear & Tear” (subject to “Good Driver Discount”) CH3 m “Extra Base” Cytosine 5-Methylcytosine * References available upon request
- 7. 7 AI and Machine Learning (ML) are essential to genetic and epigenetic testing § The human genome consists of over 3.2 billion base pairs – Adenine – Thymine – Cytosine – Guanine § The process of sequencing the genome could never have been achieved without AI § AI is necessary to figure out which parts of the genome control which parts of our physiology § AI is necessary to discern which epigenetic markers correspond with which diseases, behaviors etc.
- 8. 8 Our team includes world-class experts in AI and ML § Renowned expert in epigenetics § Close partnership with Oxford Nanotechnologies, Inc. a leader in Next Generation Sequencing § Chairman of Digital Biology, Singularity University § Ex-Principal Scientist: Illumina § First base-level human epigenome; Systems biologist; Advisor to Misfit/Shine wearables; Theme Advisor, Genomics, ARK Invest Chief Science Officer: Miten Jain Genomics Strategy: Raymond McCauley § PhD in Computer Science § Led the Microsoft Research speech recognition team in building ML-based solutions § Currently leads program to use machine learning to extract insights from petabyte-scale geospatial datasets Data Officer: Derek Jacoby § Renowned innovator and leader in AI, Data Science, Open Source, and Data Visualization § Expert in applying Machine Learning to genetic and epigenetic data in insurance § Ph.D. in Computer Science / AI and Evolutionary Biology Chief Data Officer: Randy Olson
- 9. 9 Epigenetic tests reveal your “biological age” and other important factors § Epigenetic tests reveal your “biological age”, which can be higher or lower than your actual (chronological) age § By testing for biological age after different interventions, for the first time it is now possible to identify which interventions have the greatest impact on longevity for different groups of people
- 10. 10 Massive amounts of data and AI / Machine Learning are necessary to assess which interventions work best for which people § We need to try many different interventions and use AI/ML to find which do the best job of slowing or reversing biological age for different groups of people – Age – Sex – Smoking Status – BMI – Existing conditions – Etc. § AI / ML algorithms are necessary to discover which interventions work best We believe this will be a major focus of healthcare in the next decade
- 11. 11 Numerous peer reviewed studies show that it is possible to “bend the mortality curve” by using epigenetic tests to track biological age § 43 healthy adult males, ages of 50-72, treatment and control group § 8-week intervention program: – diet, – sleep, – exercise – relaxation guidance, and – supplements § 3.23 years decrease in biological age, measured by epigenetic test (DNAmAge) Source: Fitzgerald, et. al., "Potential reversal of epigenetic age using a diet and lifestyle intervention: a pilot randomized clinical trial“, Aging, April 2021
- 12. 12 Epigenetic tests also reveal an increasing number of non-communicable diseases and the behaviors that can cause them § Non-communicable diseases – Types • Heart Disease • Cancer • Diabetes • Etc. – Because many of these diseases can be controlled by behaviors, early predictions / diagnoses will save many thousands of lives § Behaviors – Types • Smoking • Alcohol consumption • Exercise • Diet • Etc. – Because these behaviors drive major non-communicable diseases, epigenetic tests that provide transparency on these behaviors could save many thousands of lives
- 13. 13 The economics of helping people to be more health are extremely attractive § By catching diseases early and adopting optimal behaviors and interventions, insurance customers improve their health, resulting in reduced claims. § For an average $150,000 Life Insurance policy, the present value of postponing death by just 3 years and receiving 3 more years of premiums is over $40,000. § This can also help insurance companies to free up significant capital reserves. § The cost of the materials to conduct the test at high volumes is currently less than $200 and is falling rapidly.
- 14. 14 Insurers now have the opportunity to participate in this transformation § Epigenetic tests already have positive protective value – Their economic benefits are at least 6x their costs in the first year § The quality and number of epigenetic predictors will grow rapidly § The costs of epigenetic tests is falling exponentially § Those companies that lead this transformation will “win” – Effectively reposition themselves as “health partners” – Reduced claims – Enhanced profitability – Competitors suffer adverse selection This makes it inevitable that epigenetic tests will become an integral part of health and life insurance
- 15. 15 This creates the opportunity for a “grand partnership” between insurance companies and epigenetic science to benefit humanity Helps insurers better understand health risks and help their customers to live longer Grand Partnership Have the volume of tests required to refine predictors and explore which interventions have the largest impacts on health Insurers Epigenetic Science § Faster, greater knowledge of which interventions work best for which people § Better Health § Enhanced Longevity Benefits to Humanity The “Grand Partnership” between Epigenetic Science and Insurers
- 16. 16 See our video on genetic and epigenetic testing for more details See the “Human Life Expectancy Channel” on YouTube for this, and many other videos focused on how new technologies will increase human life expectancy.
- 17. 17 Isn’t there a risk that AI / ML will create a “superintelligence” and that computers will rise to enslave humanity? § This story makes for good fiction, but is unlikely to come true – Read “Superintelligence” by Nick Bostrom – We’ll have plenty of time to watch and control any such emergence § The overall risks from AI/ML are small compared to other risks and small compared to the lives saved and other benefits from AI / ML
- 18. 18 A larger threat is the one AI poses to our jobs and economies § As with the cotton gin, steam engine, and countless other inventions along the way, jobs will be impacted by AI § ChatGPT is currently challenging many jobs § Studies Confirm this Risk – A recent report from Goldman Sachs estimates that AI could replace the equivalent of 300 million jobs in the US and Europe alone1 – A 2013 University of Oxford study found that 47% of US jobs could be eliminated by AI over the next 20 years2 § See our video on this topic for more 1. https://www.bbc.com/news/technology-65102150 2. https://www.oxfordmartin.ox.ac.uk/downloads/academic/future-of-employment.pdf
- 19. 19 However, this has always been the case with new technologies, and AI/ML will also create new jobs § New Jobs – Longevity consultants – Genetic / epigenetic testing companies – Doctors, nurses and healthcare professionals – Others that work with AI/ML to help people – Teachers, coaches and others enhancing the quality of life § This growth and transition will have costs, but is an unstoppable part of humanity’s “information adolescence”
- 20. 20 In summary, AI will almost certainly accelerate the increase global human life expectancy § It will accelerate the pace of “good ideas” that have proven to be the major cause of increased HLE in the past § It is an intrinsic component of genetics, epigenetics and a host of other technologies with extraordinary promise to increase HLE § It will help us to live longer, less wasteful, more fulfilling lives § If we slow the advancement of AI / ML, we postpone these benefits at our peril § For more check out our website (Humanlifeexpectancy.com) and subscribe to the Human Life Expectancy Channel on YouTube: Or Contact Tom Directly: [email protected] 312-504-6466