Making Genomics Data Actionable ● Clinical-Grade Genetic Predispositions for 236 Health Conditions ● Genetics Specific Intervention Recommendations ● Genetics Combined With Conventional BioMarkers & Lifestyle assessments www.selfdecode.com Ralph Kenney - COO ralph@selfdecode.com +382 69 828 382 Snapshot Problem 1 out 5 Americans already have their DNA. But the data is largely useless because genomics data is not actionable for most common health conditions. This costs billions of dollars annually, reduces Quality of Life and results in millions of premature deaths. Solution A genomics platform providing clinical-grade genetics interpretation and genetics-specific care recommendations as a service, enabling health tech businesses and health providers to easily build precision health solutions. Market Size Total addressable Market in North America only -$21.8B per year. Traction $2.7 m in annual revenue Genomics database of over 800,000 genomes 17,000 highly engaged subscribers Over 500 healthcare practitioners using the platform 20 B2B contracts signed, valued at $38 M over the next 5 years Industry leading PRS, Genetic Imputation, Data Compression and Ancestry determination (based on competitive benchmarking) ● 3 patents to be filed Q4/22 ● ● ● ● ● ● Raising $8M The Problem In Short… We’ve made tremendous strides in understanding and interpreting the human genome and the cost of genetic testing is now affordable to almost everyone. 1 out 5 Americans already have their DNA. However, genomics remains on the fringe of health because interpreting and recommending actions based on genomics requires specialized knowledge and technology costing millions of dollars. Health care providers and consumers are left struggling to understand and act on genetic data. This results in preventable illness, delays in treatment and lives lost. You don’t have to take our word for it. By combining hundreds to thousands of common genetic variants, each explaining a (usually small) proportion of the disease, PRS can now explain up to 20–50% of the occurrence of common diseases. … But DNA analysis is so far only used in specialized settings and for a limited number of health problems and, thus, is still not capitalizing on its full potential. (European Journal of Human Genetics- Feb. 2022) because… As genomic data become more widely available, health care providers struggle to interpret genomic results (J. of Molecular Diagnostics - Jan. 2022) This costs thousands of lives annually. As just one example… Individuals classified in the highest risk group by GPS-CAD (Polygenic Risk) appeared to have roughly 77 percent greater risk of Sudden Arryhthmic Death compared with those classified into other risk tiers. (J. of the American College of Cardiology - May 2022) Targeted assessment only among people at intermediate (i.e., 5% to 10%) 10-year CVD risk could help prevent 1 additional CVD event for approximately every 340 individuals screened and prevent 7% of acute CVD events. Solution: A genomics platform providing clinical-grade genetics interpretation and genetics-specific recommendations as a service, enabling health tech businesses and health providers to easily build precision health solutions. Industry Leading Genetics Science ● Based on inexpensive genotyping technology, ● Proprietary (patentable) ancestry determination to the sub-population level, ● Proprietary (patentable) imputation of approximately 83 million genetic variants, ● Clinical-grade, ancestry-portable polygenic risk scoring for over 236 common health conditions, ● Collection of and tracking of longitudinal conventional biomarkers, ● Collection of self-assessment data, ● GWAS-based non-medical risk mitigation recommendations. All this science…. Presented in way anyone can understand SelfDecode DTC Total Addressable Market (USA Only) $21.6 B / Year The North American DTC Genetic Testing Market was $1.4 B in 2021 with a CAGR 15.3%. Projected value by 2028 is $4.2 B. Focusing narrowly on functional medicine practitioners, with an estimated average annual platform spend of $22,320. We project a North American practitioner TAM of $7.8 B annually. Excluding oncology and therapeutics, the precision medicine market is projected at $40.3B by 2028. We focused on just the genetic testing segment for a B2B TAM of $9.6B. Our GTM Strategy ● SelfDecode becomes the “AWS” of Genomics. Genomics- As-A-Service Revenue, Brand Recognition, Market Validation, Feature Testing Proof of Concept, Core Capabilities (GAAS) ● Leverage SelfDecode DTC for Proof of Concept, Data Collections and Brand Building DTC (SelfDecode) SelfDecode Genomics Platform ● Grow Core Capabilities Based on Successful B2B Partnerships New Features, Market Data B2B (SD-Pro / Omics Edge) Sales Strategy Targeting: DTC Genetics, Practitioner Networks & Hospital Systems, Health Tech, Employee Benefits and Insurance Business Development: ● In-House Business Development in High-Value Markets, ● Distributors in Emerging Markets ● Health Tech, BioTech and Precision Medicine Conferences, Marketing: Publishing Peer-Reviewed Research, Leadership pieces in relevant media, Co-Branding Pricing: One time API-fee, Recurring Revenue through pay-as-you-go services, customized development creates stickiness. What makes SelfDecode different? Technology Benefit Clinical-Grade Polygenic Risk Scores Partners, physicians and consumers receive genetic predisposition scores with clinical utility and accuracy PRS Models for Over 200 Common Health Conditions Genomics data on the common conditions affecting millions of people, not “rare” diseases affecting a few thousands Portable Across Ancestry Actionable genomics for everybody not just one ethnicity Imputation of 83 Million SNPs Genomics insights affordable to all 100:1 Genetic Data Compression Enables storage and transmission of genetics data at scale Genetic Specific Recommendations Provides partners, physician and consumers with genetics-specific actionable steps Combines Genetics With Conventional Labs and Self-Assessments Enables users to apply genetics data to more familiar bioinformatics data points. Additive data instead of alternate data RESTFUL API Genomics insights and recommendations as a service makes building health applications that use genomics affordable and possible for ANY health tech business SelfDecode’s DTC Experience Validates The Utility of PRS for Consumer Health ● Engagement: ⅔ of our subscribers have logged in in the last 90 days, ½ of those, logged in 4 or more times. ● Satisfaction: Trustpilot score of 4.9 out of 5. ● Effectiveness: Analysis of customer uploaded lab data show significant improvements for those customers in the highest risk. (see appendix) ● AND… Our subscribers say SelfDecode works! SelfDecode 23andMe Prenetics (CircleDNA, DNAFit) Color Genomic plc 1314 150+ 500+ 3 Not Reported #SNPs / report Up to 1.2M < 1000 < 100 < 74 Not Reported Polygenic Risk Scoring ✔ No No No Limited, Not At Scale Ancestry-Informed PRS ✔ No No No Not Stated Genetic Specific Recommendations ✔ No No No Drugs-Only Incorporates Labs ✔ No No Some No Includes Lifestyle Assessments ✔ No No No Limited Benefits # of reports Our Leadership Team The leadership team is led by Joe Cohen, who won the genetic lottery of bad genes and decided to embark on a journey of self-experimentation and self-learning to improve his health- something that has since become known as “biohacking”. With thousands of experiments and pubmed articles under his belt, Joe founded SelfHacked, the resource that was missing when he needed it. SelfHacked now gets millions of monthly readers. Joe is a thriving entrepreneur, author and speaker. He is the CEO of SelfHacked, SelfDecode and LabTestAnalyzer. His mission is to help people gain access to the most up-to-date, unbiased, and science-based ways to optimize their health. Supporting him are industry veterans Dr. Puya Yazdi (CSO); Ralph Kenney (COO) Our Science Team Manfred Grabherr, PhD Charles Manson, PhD Biljana Novkovic, PhD Joe Lerga Jaso, PhD Lewis Cuthbertson, PhD Deepu Unnikrishnan, MSc Abdallah Mahmoud, BSc VP of Bioinformatics and AI AI Research Scientist Senior Precision Medicine Scientist and Director of Research & Development Bioinformatics Scientist Science Writer Data Scientist Bioinformatics Engineer Laurent Dufloux, PhD Carlos Tello Lascal, PhD Alex Osama, BSc Sandra Bohn, MSc Varuna Andrew Terpolovsky, MSc Adriano De Marino, PhD Senior Bioinformatics Engineer Bioinformatics Scientist and Team Lead Dr. Puya Yazdi, MD CHIEF SCIENTIFIC OFFICER MD from USC, Stanford Residency. 15+ years of success in R&D, IP acquisition & science publications in genomics, bioinformatics, biotech & precision medicine. 10+ precision medicine products. 7+ years of executive experience. Bambunusinghe, BSc Big Data Engineer Research & Development Scientist Data Scientist Big Data Engineer Senior AI Engineer and Team Lead Traction ● Revenue of $2.7 M (trailing 12 month) ● 17,000 DTC Subscribers, ALTV $400, 98% Retention, TrustPilot score 4.9/5 ● Over 500 Health Practitioners using SelfDecode-Pro ● 18 signed B2B contracts totaling customer-estimated revenue of over $32.8 M over the next 5 years ● Ancestry Model Benchmarks 20% Better Than Known Models ● Imputation Outperformed All Other Academic and Commercial Models in Benchmarking by 22% ● PRS Model Before Integration of Ancestry and Imputation Already Performs 5% Better ● Industry-Leading Genetics Data Compression at 100:1 without loss ● 3 Patents to be filed in Q4/2022 Partial List of B2B Customers Fundable Milestones International Patents for Data Compression, Ancestry and Imputation - $500K Expanded marketing - $1M Development & Validation of Absolute Risk Score Models - $2M Pharmacogenomics - $500K Acquire additional validation data - $500K Disease Reports - $450K Apply for LDT Approvals - $700K Improved OCR - $100K Functionality Expansion SelfDecode Pro - $750K Internationalization - $500K Expand and Train Bus-Dev Team - $750K Sec./GDPR/HIPAA certifications - $250K Total Funding Requirement - $8M That’s just the beginning… Our Moonshots ● Enabling Genomics-Based CDS in the EHR ● Laboratory Developed Test Pipeline Based on Combining Genomics and Conventional Biomarkers ● Reversal of the PRS models for Drug Discovery We Make Precision Health Possible Ralph Kenney - COO | ralph@selfdecode.com | +382 69 828 382 Omics Edge PRS Advantage PRS Benchmarking Omics Edge PRS Advantage Ancestry Benchmarking