Foxo SPAC Presentation Deck
PROPRIETARY
Epigenetic
biomarkers
We use automated machine learning to find patterns of DNA
methylation occurring along the epigenome that correlate to
current states health and wellness. We call these identifiable
patterns "epigenetic biomarkers."
FOXO Patent Applications
Risk Classifier: USAN 16/579,777 (filed September 23, 2019)
Biochemical State and/or Medical Condition Estimator: USAN 16/579,818 (filed September 23, 2019)
Synthetic Probe: USAN 16/591,296 (filed October 2, 2019)
Machine-Learned Quality Control for Epigenetic Data: USAN 17/482,405 (filed September 22, 2021)
Licensed Patent Applications from UCLA
GrimAge: USAN 17/282,318 (filed April 1, 2021)
PhenoAge: USAN 16/963,065 (filed July 17, 2020)
M-Panel: USAN 16/323,490 (filed February 5, 2019)
(1) Results from STP1 data set, and subject to further testing and validation; FOXO Forward Looking Statement
FOXO INVESTOR DECK 2022 Page 27
Health status data
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Epigenetic biomarkers
Proprietary algorithms to measure human health
Epigenetic biomarkers
Tobacco / Nicotine Use
Hypertension
Obesity
Cardiovascular Disease
NT-proBNP
Diabetes
Epigenetic data
Alcohol Abuse
Cannabis Use
Accuracy(1)
99%
79%
74%
83%
93%
80%
97%
90%View entire presentation