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Have you ever
wondered just how long
you will live?
The answer can be found in one drop of your blood.
Introducing BioSpan. Intelligent life management.
Executive Synopsis
There is a problem in financial markets that is potentially bigger than the housing bust, student loan debt
and derivatives, combined: Longevity risk. BioSpan was conceived to mitigate that risk before it develops
into the next international crisis.
BioSpan is a blood test that will be developed from paradigm-shattering
research proposed by Life Metrics, LLC. The research team is headed by
globally-recognized epidemiologist Dr. Albert Hofman from the Erasmus
Clinic in the Netherlands, using clinical records and blood samples from the
world’s pre-eminent cohort study of degenerative diseases in the elderly—
the Rotterdam Study—and the protein analyses of the samples are being
done by a U.S. company that leads the world in large-scale protein
identification using minimal sera quantities (±60 μl).
The proposed research is large-scale, predictively valid and the sera content consistency will render
findings statistically conclusive and reproducible. As such, this research into the lifespan predictive value
of proteins is not just the first serious piece of work done in this area, it is one of the boldest studies ever
undertaken in the field of proteomics.
The application of the research findings will be aimed at addressing longevity risk markets: financial,
insurance and pension planning. There is already a (confusing) glut of “one off” predictive studies aimed
at specific individual diseases and designed for use in diagnostic markets. The objective of Life Metric’s
research is to discover an “all cause” mortality signature in an individual’s blood proteins that will, in
conjunction with other biometric and demographic data, yield an individual estimate of lifespan
expressed in number of months remaining.
Financial markets present no FDA hurdles for the company to overcome as long as the blood test is used
to make a longevity prediction, and as long as the person being tested is not given any clinical diagnosis
regarding specific underlying diseases.
The only lifespan estimator currently available to insurance adjusters,
annuity brokers, pension plan sponsors, financial planners and
individuals is to rely upon population actuarial tables and/or make a
“blind” guess based on a review of family or clinical histories.
Actuarial tables are based on population averages, not individuals. An
individual might have an average lifespan of 74.9 years at birth
according to the actuarial tables. In reality that only means that half of
all similar individuals will die before age 74.9, and half will die after 74.9
years of age. The bell curve that represents this individual’s cohort may
begin at age 10 and end at age 120, with individuals dying all along the
curve. Granted, there is a bulge in the middle of the curve—usually
Life Metrics, LLC Class B Summary Page 1
representing about 20 years of life—but there is no way to determine where an individual may be on the
overall curve, much less in the “bunch” spanning the 20 most-likely years of mortality.
Not only is Life Metrics’ research the only advance in longevity prediction in decades, it is a paradigm-
shifting, giant leap forward.
The Company expects that life insurance and annuity products will be redesigned to reflect new
certainties in individual’s lifespans. Individuals will be able to make more intelligent life choices—
especially those that involve financial matters like when to start taking Social Security payouts. Pension
sponsors can make more intelligent decisions regarding long-term benefit programs, and long-term care
underwriters will be able to bring new, sustainable products to an industry that has been ravaged by
longevity miscalculations.
In short, Life Metrics new BioSpan blood test will make it possible in the future for hundreds of billions of
dollars of financial decisions to be made based on each individual’s biometric profile—rather than making
all individuals conform to population averages.
The Protein Assay Technology
SomaLogic, our protein assay partner, was founded by Dr. Larry Gold fifteen
years ago. They are the only assay company in the world capable of measuring
1,129 proteins in a single test using just 60 microliters (μl) of blood. A
microliter is about one drop of sera. Other companies measure one, two, a
couple of dozen or even a few hundred in single tests, but only SomaLogic can
scan so many proteins using so little sera. This last distinction is critical
because only 120 μl were available to Life Metrics from the Rotterdam Study blood reserves. Most other
tests require hundreds or thousands of microliters per test. SomaLogic offered the Company the
optimum solution for its research: the most number of proteins evaluated using the least amount of sera.
The Markets
There will be applications for the BioSpan blood test in all financial markets over time. The Company
plans to pick the “low-hanging” fruit, illustrated in the market projections in the chart below.
At Year 10 (7.5 years of operations)
Market/Industry Application Market Share Annual Revenue ($Millions)
Senior Life Settlements Life Expectancy Reports 35% 31,800,000
Life Insurance $1MM+ policies 15% 23,000,000
Annuities Impaired underwriting 15% 53,600,000
Financial Planners Client support 20% 236,800,000
Direct-to-Consumer
Social Security decision-
making support 1.5% (avg) 295,200,000
Long-term Care Insurance policies 25% 60,700,000
TOTAL $701,100,000
Figure 1.
Life Metrics, LLC Class B Summary Page 2
The Research Team
The staff at the Erasmus Clinic’s Department of
Epidemiology are recognized worldwide as leading
experts in the field of etiological research of common
diseases and mortality in the elderly. The team is led by
Dr. Albert Hofman, who is among the top 1% of most-
cited scientists in both clinical medicine and molecular
biology & genetics (Thompson Reuters, 2014). In 2011,
Hofman was ranked as the 7th most influential
scientist in the world. Researchers in Hofman’s
Department of Epidemiology have devoted decades of
research to unravelling the processes behind the development of common diseases related to aging; the
results of these efforts are evident from the over 1,000 scientific publications in the world’s leading
journals including Nature, New England Journal of Medicine and JAMA. In recent years, their efforts have
been further strengthened by the development of advanced “-omics” technologies. Genomics has
succeeded in identifying thousands of genes related to disease. Transcriptomics, epigenomics and
metabolomics have begun to shed light on biological pathways involved in total longevity. Proteomics has
so far been the missing piece of the puzzle (due to methodology challenges in accurately determining
protein levels in blood).
“We believe that your proposed research will successfully identify and map
blood biomarker profiles that reliably predict mortality.”
― Dr. Albert Hofman, MD, PhD, Erasmus Clinic
The Research Design
The quest for a protein-based longevity signature began by turning the current research model upside
down: The biological patterns of a large group would be allowed to speak for themselves rather than
testing “guesses” in small environments and then “trying them out” in larger and larger circles (a la clinical
trials). To accomplish this, the research design required a cohort of individuals 55-years old and older
who had been studied—with all clinical records and sera collected—for a period of decades. There is only
one such cohort study in the world: The Rotterdam Study.
After a year of negotiations, the Company has arrived at an
agreement to use both the sera and the clinical records from
this 24-year study in Life Metrics’ research program. The
research is designed to uncover the longevity signature from
the cohort’s biometric facts, and then aggregate individual
proteomic and clinical data with other proven biomarkers and
known actuarial (demographic) data into a revolutionary new
algorithm to predict longevity.
Dr. Albert Hofman, M.D, PhD
Life Metrics, LLC Class B Summary Page 3
Next Steps
As of December 1, 2016, over $800,000 has been invested by the Founders to attract world-class research
partners, negotiate the terms of the proteomic data usage, design the research, identify and vet the
assay vendor and put a pricing agreement in place—all described in the Seed Offering Memorandum.
The Company anticipates offering Class B units of its equity to raise approximately $40 million to fund
the research, transfer technology, file patents and launch the Company. The Class B offering is expected
to be handled by an investment bank following the successful completion of the Company's $2 million
seed round offering of Class A units.
The Bottom Line
For the first time ever, trillions of dollars of longevity-based markets will have an accurate and intelligent
answer to an age-old question: How much longer will I live? The financial, social and personal
ramifications are staggering.
Pro Forma ROI and Exit Strategies
Following the successful close of the $40 million Class B offering, the research will be conducted
which is expected to result in a product being called BioSpan. BioSpan is a blood test that
accurately determines the number of months of remaining lifespan of an individual 55 years of age
or older. BioSpan is a proprietary, patentable longevity estimator. Using just one drop of blood,
this test evaluates the blood’s protein “signature” that is unique to each individual.
Life Metrics, LLC Class B Summary Page 4
Research Design & Timetable
Blood samples gathered from 9,807 individuals (part of the Rotterdam Study--the world's largest and
most-cited cohort study of diseases of the elderly), aged 45 years old and over, will be sent to
SomaLogic, Inc. to measure over 1,129 protein targets critical to normal and disease biology. At the
heart of SomaLogic's unique proteomic assay platform are SOMAmerTM (Slow Off-rate Modified
Aptamer) protein-binding reagents, each of which are highly specific for their respective cognate
protein8. The research will require the efforts of 10 scientists, one research assistant, one project
manager and one medical informatics professional.
Use of Research Round (Class B) Proceeds
30-MONTH RESEARCH & PRE-LAUNCH MARKETING BUDGET [$ 000,000]
$ 6.43
12.21
2.95
1.85
1.91
4.00
1.90
6.84
Blood Databank [The Rotterdam Study]
Blood Assays [SomaLogic]
Algorithm Development [The Erasmus Clinic]
V.A.T. (European tax)
Patent, Legal & Technology Transfer
Brokerage
Limited Founder's Units Buy-Back
G&A
Contingency 1.91
TOTAL $ 40.00
Markets
As illustrated (in Figure 1, above), marketing efforts are focused on financial markets.
While there may be substantial BioSpan applications in healthcare, obtaining FDA approvals is a
long and costly process. Financial markets do not have these barriers and can be entered
immediately upon the completion of the research. Dollars will be concentrated first on those
markets that are the most advantageous in terms of speed of entry, revenue potential and
marketing cost per dollar of projected revenue.
The Company projects $392 million revenue in the fifth year of commercial
operation (following the close of the research phase, as illustrated in Figure 2, below), with a
net operating income of $85 million (22% of gross sales).
In addition to the opportunities for BioSpan in financial markets, future plans of the Company
call for it to aggregate its own portfolio of senior life settlement assets. This may be done
exclusively by the Company, or in partnership with an existing SLS aggregator or in conjunction
with a large insurance/annuity carrier. If this project is consummated, the Company projects a 15-
year profit of nearly $100 million.
Investor Return & Exit
The Company estimates that Class B units will be offered at about $2.00 per unit. Class A
units are being offered at $0.20 per unit. The chart below illustrates a scenario in which the
Company’s management distributes net earnings to all equity classes during each of the first
five years of commercial operations. Note that the chart assumes that sales and earnings
conform to the Company’s projections, that both the A and the B rounds are fully-subscribed
at the projected prices, and that no other units are issued other than those illustrated in
the December, 2016 Class A Terms published by the Company. These estimates would result in
a total of 42 million units outstanding. The value of any losses distributed to the investors was
included in the performance estimates at 40 cents per each dollar of loss.
Life Metrics, LLC Class B Summary Page 5
The return on investment for the Class A investors is estimated to be 45% per year over a
nine-year period (including the capitalization phase), and for the Class B investors ROI is
estimated at 12% per year over a seven-year period. If the Company is valued at three times
sales at the end of the fifth year, each unit would have an imputed value of $27.92.
Gross Revenue Net Earnings Per/Unit
Year One 9.33 (4.74) ($0.11)
Year Two 36.77 (11.64) ($0.28)
Year Three 249.86 37.78 $0.90
Year Four 316.98 34.41 $0.82
Year Five 391.75 84.88 $2.02
TOTALS 1,004.69 157.07* $3.35*
Figure 2.
Gross Revenue & Net Earnings in millions of dollars; Per/Unit are whole dollar amounts
*Losses are distributed exclusively to investors, but no value has been estimated; earnings
distributions, if any, are made on a pari passu basis to all equity classes
It should also be noted that the BioSpan algorithm, once patented, is a saleable commodity
in and of itself even if commercial sales should not materialize. The Company has not secured an
independent estimate of BioSpan’s value as a saleable asset, nor does the Company have any
current offers to buy the proposed algorithm. That said, it is management’s opinion that if the
algorithm were to be offered for sale, it would have a value of three times the raw cost of the
research, or approximately $75 million.
While Life Metrics does not currently have any offer to purchase the BioSpan algorithm, nor
does it have any offer to purchase the company entirely, nor does it have any plans in place to
conduct a public offering of its equity, these options—among others—will be considered in the
future as exit strategies for its investors.
Contact
Mr. John Holland, CEO
LIFE METRICS, LLC
5635 East Lincoln Drive, No. 33
Paradise Valley, AZ 85253
480.283.3863
JHolland@MyNewAsset.com Biomarkers for Business
Life Metrics, LLC Class B Summary Page 6
Excutive Sum 8 pps

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Excutive Sum 8 pps

  • 1. Have you ever wondered just how long you will live?
  • 2. The answer can be found in one drop of your blood. Introducing BioSpan. Intelligent life management. Executive Synopsis There is a problem in financial markets that is potentially bigger than the housing bust, student loan debt and derivatives, combined: Longevity risk. BioSpan was conceived to mitigate that risk before it develops into the next international crisis. BioSpan is a blood test that will be developed from paradigm-shattering research proposed by Life Metrics, LLC. The research team is headed by globally-recognized epidemiologist Dr. Albert Hofman from the Erasmus Clinic in the Netherlands, using clinical records and blood samples from the world’s pre-eminent cohort study of degenerative diseases in the elderly— the Rotterdam Study—and the protein analyses of the samples are being done by a U.S. company that leads the world in large-scale protein identification using minimal sera quantities (±60 μl). The proposed research is large-scale, predictively valid and the sera content consistency will render findings statistically conclusive and reproducible. As such, this research into the lifespan predictive value of proteins is not just the first serious piece of work done in this area, it is one of the boldest studies ever undertaken in the field of proteomics. The application of the research findings will be aimed at addressing longevity risk markets: financial, insurance and pension planning. There is already a (confusing) glut of “one off” predictive studies aimed at specific individual diseases and designed for use in diagnostic markets. The objective of Life Metric’s research is to discover an “all cause” mortality signature in an individual’s blood proteins that will, in conjunction with other biometric and demographic data, yield an individual estimate of lifespan expressed in number of months remaining. Financial markets present no FDA hurdles for the company to overcome as long as the blood test is used to make a longevity prediction, and as long as the person being tested is not given any clinical diagnosis regarding specific underlying diseases. The only lifespan estimator currently available to insurance adjusters, annuity brokers, pension plan sponsors, financial planners and individuals is to rely upon population actuarial tables and/or make a “blind” guess based on a review of family or clinical histories. Actuarial tables are based on population averages, not individuals. An individual might have an average lifespan of 74.9 years at birth according to the actuarial tables. In reality that only means that half of all similar individuals will die before age 74.9, and half will die after 74.9 years of age. The bell curve that represents this individual’s cohort may begin at age 10 and end at age 120, with individuals dying all along the curve. Granted, there is a bulge in the middle of the curve—usually Life Metrics, LLC Class B Summary Page 1
  • 3. representing about 20 years of life—but there is no way to determine where an individual may be on the overall curve, much less in the “bunch” spanning the 20 most-likely years of mortality. Not only is Life Metrics’ research the only advance in longevity prediction in decades, it is a paradigm- shifting, giant leap forward. The Company expects that life insurance and annuity products will be redesigned to reflect new certainties in individual’s lifespans. Individuals will be able to make more intelligent life choices— especially those that involve financial matters like when to start taking Social Security payouts. Pension sponsors can make more intelligent decisions regarding long-term benefit programs, and long-term care underwriters will be able to bring new, sustainable products to an industry that has been ravaged by longevity miscalculations. In short, Life Metrics new BioSpan blood test will make it possible in the future for hundreds of billions of dollars of financial decisions to be made based on each individual’s biometric profile—rather than making all individuals conform to population averages. The Protein Assay Technology SomaLogic, our protein assay partner, was founded by Dr. Larry Gold fifteen years ago. They are the only assay company in the world capable of measuring 1,129 proteins in a single test using just 60 microliters (μl) of blood. A microliter is about one drop of sera. Other companies measure one, two, a couple of dozen or even a few hundred in single tests, but only SomaLogic can scan so many proteins using so little sera. This last distinction is critical because only 120 μl were available to Life Metrics from the Rotterdam Study blood reserves. Most other tests require hundreds or thousands of microliters per test. SomaLogic offered the Company the optimum solution for its research: the most number of proteins evaluated using the least amount of sera. The Markets There will be applications for the BioSpan blood test in all financial markets over time. The Company plans to pick the “low-hanging” fruit, illustrated in the market projections in the chart below. At Year 10 (7.5 years of operations) Market/Industry Application Market Share Annual Revenue ($Millions) Senior Life Settlements Life Expectancy Reports 35% 31,800,000 Life Insurance $1MM+ policies 15% 23,000,000 Annuities Impaired underwriting 15% 53,600,000 Financial Planners Client support 20% 236,800,000 Direct-to-Consumer Social Security decision- making support 1.5% (avg) 295,200,000 Long-term Care Insurance policies 25% 60,700,000 TOTAL $701,100,000 Figure 1. Life Metrics, LLC Class B Summary Page 2
  • 4. The Research Team The staff at the Erasmus Clinic’s Department of Epidemiology are recognized worldwide as leading experts in the field of etiological research of common diseases and mortality in the elderly. The team is led by Dr. Albert Hofman, who is among the top 1% of most- cited scientists in both clinical medicine and molecular biology & genetics (Thompson Reuters, 2014). In 2011, Hofman was ranked as the 7th most influential scientist in the world. Researchers in Hofman’s Department of Epidemiology have devoted decades of research to unravelling the processes behind the development of common diseases related to aging; the results of these efforts are evident from the over 1,000 scientific publications in the world’s leading journals including Nature, New England Journal of Medicine and JAMA. In recent years, their efforts have been further strengthened by the development of advanced “-omics” technologies. Genomics has succeeded in identifying thousands of genes related to disease. Transcriptomics, epigenomics and metabolomics have begun to shed light on biological pathways involved in total longevity. Proteomics has so far been the missing piece of the puzzle (due to methodology challenges in accurately determining protein levels in blood). “We believe that your proposed research will successfully identify and map blood biomarker profiles that reliably predict mortality.” ― Dr. Albert Hofman, MD, PhD, Erasmus Clinic The Research Design The quest for a protein-based longevity signature began by turning the current research model upside down: The biological patterns of a large group would be allowed to speak for themselves rather than testing “guesses” in small environments and then “trying them out” in larger and larger circles (a la clinical trials). To accomplish this, the research design required a cohort of individuals 55-years old and older who had been studied—with all clinical records and sera collected—for a period of decades. There is only one such cohort study in the world: The Rotterdam Study. After a year of negotiations, the Company has arrived at an agreement to use both the sera and the clinical records from this 24-year study in Life Metrics’ research program. The research is designed to uncover the longevity signature from the cohort’s biometric facts, and then aggregate individual proteomic and clinical data with other proven biomarkers and known actuarial (demographic) data into a revolutionary new algorithm to predict longevity. Dr. Albert Hofman, M.D, PhD Life Metrics, LLC Class B Summary Page 3
  • 5. Next Steps As of December 1, 2016, over $800,000 has been invested by the Founders to attract world-class research partners, negotiate the terms of the proteomic data usage, design the research, identify and vet the assay vendor and put a pricing agreement in place—all described in the Seed Offering Memorandum. The Company anticipates offering Class B units of its equity to raise approximately $40 million to fund the research, transfer technology, file patents and launch the Company. The Class B offering is expected to be handled by an investment bank following the successful completion of the Company's $2 million seed round offering of Class A units. The Bottom Line For the first time ever, trillions of dollars of longevity-based markets will have an accurate and intelligent answer to an age-old question: How much longer will I live? The financial, social and personal ramifications are staggering. Pro Forma ROI and Exit Strategies Following the successful close of the $40 million Class B offering, the research will be conducted which is expected to result in a product being called BioSpan. BioSpan is a blood test that accurately determines the number of months of remaining lifespan of an individual 55 years of age or older. BioSpan is a proprietary, patentable longevity estimator. Using just one drop of blood, this test evaluates the blood’s protein “signature” that is unique to each individual. Life Metrics, LLC Class B Summary Page 4 Research Design & Timetable Blood samples gathered from 9,807 individuals (part of the Rotterdam Study--the world's largest and most-cited cohort study of diseases of the elderly), aged 45 years old and over, will be sent to SomaLogic, Inc. to measure over 1,129 protein targets critical to normal and disease biology. At the heart of SomaLogic's unique proteomic assay platform are SOMAmerTM (Slow Off-rate Modified Aptamer) protein-binding reagents, each of which are highly specific for their respective cognate protein8. The research will require the efforts of 10 scientists, one research assistant, one project manager and one medical informatics professional.
  • 6. Use of Research Round (Class B) Proceeds 30-MONTH RESEARCH & PRE-LAUNCH MARKETING BUDGET [$ 000,000] $ 6.43 12.21 2.95 1.85 1.91 4.00 1.90 6.84 Blood Databank [The Rotterdam Study] Blood Assays [SomaLogic] Algorithm Development [The Erasmus Clinic] V.A.T. (European tax) Patent, Legal & Technology Transfer Brokerage Limited Founder's Units Buy-Back G&A Contingency 1.91 TOTAL $ 40.00 Markets As illustrated (in Figure 1, above), marketing efforts are focused on financial markets. While there may be substantial BioSpan applications in healthcare, obtaining FDA approvals is a long and costly process. Financial markets do not have these barriers and can be entered immediately upon the completion of the research. Dollars will be concentrated first on those markets that are the most advantageous in terms of speed of entry, revenue potential and marketing cost per dollar of projected revenue. The Company projects $392 million revenue in the fifth year of commercial operation (following the close of the research phase, as illustrated in Figure 2, below), with a net operating income of $85 million (22% of gross sales). In addition to the opportunities for BioSpan in financial markets, future plans of the Company call for it to aggregate its own portfolio of senior life settlement assets. This may be done exclusively by the Company, or in partnership with an existing SLS aggregator or in conjunction with a large insurance/annuity carrier. If this project is consummated, the Company projects a 15- year profit of nearly $100 million. Investor Return & Exit The Company estimates that Class B units will be offered at about $2.00 per unit. Class A units are being offered at $0.20 per unit. The chart below illustrates a scenario in which the Company’s management distributes net earnings to all equity classes during each of the first five years of commercial operations. Note that the chart assumes that sales and earnings conform to the Company’s projections, that both the A and the B rounds are fully-subscribed at the projected prices, and that no other units are issued other than those illustrated in the December, 2016 Class A Terms published by the Company. These estimates would result in a total of 42 million units outstanding. The value of any losses distributed to the investors was included in the performance estimates at 40 cents per each dollar of loss. Life Metrics, LLC Class B Summary Page 5
  • 7. The return on investment for the Class A investors is estimated to be 45% per year over a nine-year period (including the capitalization phase), and for the Class B investors ROI is estimated at 12% per year over a seven-year period. If the Company is valued at three times sales at the end of the fifth year, each unit would have an imputed value of $27.92. Gross Revenue Net Earnings Per/Unit Year One 9.33 (4.74) ($0.11) Year Two 36.77 (11.64) ($0.28) Year Three 249.86 37.78 $0.90 Year Four 316.98 34.41 $0.82 Year Five 391.75 84.88 $2.02 TOTALS 1,004.69 157.07* $3.35* Figure 2. Gross Revenue & Net Earnings in millions of dollars; Per/Unit are whole dollar amounts *Losses are distributed exclusively to investors, but no value has been estimated; earnings distributions, if any, are made on a pari passu basis to all equity classes It should also be noted that the BioSpan algorithm, once patented, is a saleable commodity in and of itself even if commercial sales should not materialize. The Company has not secured an independent estimate of BioSpan’s value as a saleable asset, nor does the Company have any current offers to buy the proposed algorithm. That said, it is management’s opinion that if the algorithm were to be offered for sale, it would have a value of three times the raw cost of the research, or approximately $75 million. While Life Metrics does not currently have any offer to purchase the BioSpan algorithm, nor does it have any offer to purchase the company entirely, nor does it have any plans in place to conduct a public offering of its equity, these options—among others—will be considered in the future as exit strategies for its investors. Contact Mr. John Holland, CEO LIFE METRICS, LLC 5635 East Lincoln Drive, No. 33 Paradise Valley, AZ 85253 480.283.3863 JHolland@MyNewAsset.com Biomarkers for Business Life Metrics, LLC Class B Summary Page 6