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David S. Karow, MD, PhD
Chief of Radiogenomics and Interim CEO, Human Longevity, Inc.
Associate Professor of Radiology, UC San Diego
Virtual Health NucleusTM
A scalable, multimodal, predictive analytics
platform that enables partners to provide pre-
symptomatic diagnosis
CONFIDENTIAL - NOT FOR DISTRIBUTION 2
Our Mission:
To use precision health analytics to extend the high quality human lifespan.
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The “Genomic Era”, June 26, 2000: Bill Clinton on the sequencing of the human genome: It will “revolutionize the diagnosis, prevention and treatment of most, if not all, human diseases.”
Our Purpose: Extend the Healthy Human Lifespan
CONFIDENTIAL - NOT FOR DISTRIBUTION 4
Sequencers
– Illumina
• 8 NovaSeq 6000 (64,000 Genomes/Yr)
• 6 HiSeq X (8,000 Genomes/Yr)
• 4 HiSeq 4000 (55,000 Exomes/Yr)
– ThermoFisher
• Ion S5 System
40,000 Whole genomes sequenced
CAP and CLIA accredited
WGS and tumor exome
Human Longevity Sequencing Laboratories
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Software to provide HLA typing from Illumina
sequence data
(Xie et al, PNAS 2017)
Patent: Methods of human leukocyte antigen
typing
Protocols and technologies for microbiome analysis
(Jones et al, PNAS 2015;
Anderson et al, Sci Rep 2016)
Patent: Use of a microbiome profile to detect
liver disease
Deep sequencing of 10,000 human genomes
(Telenti et al, PNAS 2016)
The human non-coding genome defined by genetic
diversity
(di Iulio et al. Nature Genetics)
Patent: Methods of determining genomic health
risk
Identification of functional domains in proteins
(Hicks et al, BioRxiv 2017)
Patent: Structural Predictions of Proteins
Software to provide Short Tandem Repeat calls from
sequence data
(Tang et al, AJHG 2017)
Patent: Determination of STR length by short
read sequencing
Machine learning tools to predict physical traits
(Lippert et al, PNAS 2017)
Patent: Identification of individuals by trait
prediction from the genome
https://search.hli.io/
Patent: Genomic, metabolomic, and
microbiomic search engine
Select Genomic IP and Publications
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Science April 2018 PNAS April 2018
Recent Publications
HLI has deep roots in research and we continue to translate our findings to clinically relevant analytical tools
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Whole-genome (30x)
Microbiome
Family and Med Hx
Metabolomics
Serum Labs
Gait & Balance
Neuropsychiatric
Advanced Imaging (full
body MRI, Coronary CT,
cardiac MRI)
4D ECHO, EKG
Cardiac Rhythm Monitor
Multi-Modality Phenotype Data Gathering
Gathering Deep Phenotype to understand our genome
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2% with a new brain or aortic aneurysm
2% with a new tumor suspected or confirmed, many high grade cancers and early stage.
19% with moderate atherosclerotic coronary calcifications (Agatston
score>100). 3.1% with score of 400-1000; 1.9% with score >1000. Based on 384 clients.
43% with elevated liver fat, mostly non-alcoholic fatty liver disease and associated with
increased visceral abdominal fat.
84% are genetic carriers for recessive diseases. 17% have a rare genetic
mutation that affects their health. (Autosomal dominant rare genetic mutations)
3.4% with newly found Atrial fibrillation, BBB, or high grade AV block from
iRhythm cardiac monitoring.
14.8% with aberrant cardiac structure/function findings
Health Nucleus Actionable Results from 1253 “healthy” Clients
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Client: 79 year old
healthy male
Finding: Diffuse
lymphadenopathy
with biopsy showing
follicular lymphoma
Case Study: Lymphoma
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Client: 34 year old
healthy female
Finding: 1.3 cm left
thyroid nodule on
MRI. Biopsy
showed papillary
thyroid cancer
Case Study: Thyroid Cancer
Trachea
Cervical spinal cord
Normal right
thyroid lobe
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Client: 54 year old
healthy non-
smoking female
client
Finding: 2 cm right
lung mass on MRI.
Biopsy confirmed
adenocarcinoma
Case Study: Lung Adenocarcinoma
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Overall Health Nucleus detection rate for prostate cancer = 2.5%
T2 DWI
Male Clients 59 and older: 353
9 diagnosed with cancer = 2.5%
PPV: 90%
Specificity: 99.7%
1 false positive, 1 false negative
Case Study: Prostate Cancer
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9
diagnosed
in HN
30 with pre-
HN history
of PCa
Total of 39 Health nucleus clients with PCa. 23% has reportable variants (P=2, VUS-N=5, risk=5)
Age Gene c.HGVS AR repeat # FH Damaging Clinical Signiciance
68 XRCC2 c.667T>C 21 Y Y VUS-N
70 RAD51C c.485G>A 7 . Y VUS-N
66 BRCA2 c.81-3351A>G 21 N Y VUS
64 HOXB13 c.-4696G>A 19 Y Y VUS
59 AR 13 N . risk
74 TP53 c.844C>T 23 Y Y P
74 ATM c.3078-1G>A 21 Y Y P
69 ATM c.2720G>T 22 Y Y VUS-N
81 RNASEL c.1199G>C 21 Y Y VUS-N
67 NBN c.1262T>C 23 Y N VUS-N
71 PALB2 c.3538A>G 17 N Y VUS
62 MLH1 c.1558+4286_1558+4289delCTGA 21 Y Y VUS
87 BRCA1 c.5341-2419G>A 16 N Y VUS
77 ATM c.8672-2924G>C 20 N Y VUS
67 AR 17 Y . risk
1. VUS-N are at the borderline of ACMG guidelines of likely pathogenic classification (i.e. 1-2 minor evidence level are needed).
2. Clients' family history fits NCCN guideline on familial prostate cancer and variants have sufficient evidence to suspect disease.
Rare Variants identified in Prostate cancer clients from WGS
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Client: 45 year old
healthy female
Finding: Fatty liver
(30%) and
increased Visceral
Adipose tissue
(VAT); at risk for
cirrhosis
Case Study: Fatty Liver and Increased Visceral Adipose Tissue
NAFLD = Non alcoholic fatty liver disease. Left untreated, can progress to cirrhosis
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Client: 49 yo female
Finding: Newly
found 8 mm left
cavernous ICA
aneurysm
Case Study: Brain Aneurysm
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Client: 45 year old
‘healthy’ female
• Finding: Calcium score
of 131, at the 99% for
age/gender
• Majority of disease is in
the LAD
• The 10-year CAD event
risk is 5.9 % for this patient
as opposed to 1.9% if we
did not factor in calcium
score.
Case Study: Advanced coronary artery disease
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Variant type Individuals
Medically Significant Variant (MSV) 17.3%
MSV + F2, F5 and ALDH2 24.3% ~ 50% of
variants confirmed
by phenotype
(PMH, FH, MRI, Dx tests)
Rare Genetic Findings from WGS in 24.3% of Clients
Conditions Genes
Cancer
ATM, BRCA1, BRCA2, BRIP1,
BARD1, CHEK2, EPCAM, FH,
GLMN, HOXB13, LZTR1,
MSH6, NBN, NF1, PMS2,
RAD50 RAD51C, RB1,
RECQL, TP53
Cardiovascular
APOB, APOC3, DSC2, ENG,
GPD1L, KCNE2, KCNQ1,
LDLR, LMNA, LPL, MYBPC3,
MYH7, MYL2, NPC1L1,
PCSK9, PKP2, RBM20,
SCN1B, TNNT2, TTN, TTR
Endocrine
ABCC8, GLMN, HNF1A,
HNF1B, INSR, MC4R,
NEUROD1, NOBOX, NR3C1,
PCSK1, PPP1R3A, PROK2
CONFIDENTIAL - NOT FOR DISTRIBUTION 18
Client: 60-year-old male with digestive
issues/ bloating, and chronic sinus
infections
• Findings:
• MRI: Tree in bud nodularity at the right
mid and upper lung zone. Mild
bronchial wall thickening
• WGS: Compound heterozygous mutations in the CFTR gene
• c.3846G>A (p.Trp1282*) - well known
mutation causative for classic CF
• c.3454G>C (p.Asp1152His) – variable,
can cause congenital bilateral
absence of the vas deferens or
atypical CF
Case Study: Atypical Cystic Fibrosis (CF)
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Client: 54-year-old male, Asian
ancestry; personal history of premature
atrial contractions; family history: father
with CAD, coronary bypass; maternal
grandfather and maternal uncle with stroke
• Findings:
• High calcium score of 111 (85 to 93 percentile)
• Elevated Total (254mg/dL) and LDL
Cholesterol (167mg/dL)
• WGS: autosomal dominant variant in the PCSK9 gene
• c.10G>A (p.Val4Ile) – found in
Japanese FH individuals
Case Study: Familial Hypercholesterolemia (FH)
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Client: ‘Healthy’ 49-year-old male;
History of hyperlipidemia, eosinophilic
esophagitis, and no other major
medical concern; Fainting during
swimming and multiple events of syncope (first event happened at 18).
• Findings:
• WGS: Likely pathogenic KCNQ1 (c.926C>T) for LQT1 (Long QT syndrome
1)
• Electrocardiography (ECG): QT/QTc -
490/464, prolonged QTc Interval.
Case Study: Long QT Syndrome
Nat Med. 2004, 10:463-4
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Notes: 1Significant findings that are actionable include findings requiring immediate or near-term follow-up and intervention; 2Long-term clinical findings include discoveries requiring medical attention or monitoring but not immediately
life threatening; 3Clients screened for the first time;
Significant
findings that
are
actionable1 in
14.4% of
the clients we
screen3
Long-term
value
findings2 in
40%
of the
clients we
screen3
Health Nucleus identified clinical findings in 40% of clients
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0
20
40
60
80
100
Without Screening With HN
Ave
rage
Pro
ject
ed
fiv
e y
ear
su
rviv
al (
%)
0 20 40 60 80 100
Subdural hematoma
High grade prostate…
Lymphoma
Thyroid cancer
Transitional cell…
Lung cancer
Artial fib
Renal cell carcinoma
14.4% of HN clients with Immediate Value Findings
Total Years Projected Gained for 14.4% = 129.41– 285.7
Projected years gained per individual with Immediate Value Findings = 0.72 – 8.51 years
* For individuals with significant findings only. Assumes that no screening would
result in a late stage diagnosis.
Without screening
With HN
Five Year Survival (%)
Projected five year survival after diagnosis (%)
Meaningful Extension of Life Through Using the Health
Nucleus Platform: 1-9 years of life added
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Health Nucleus Overview
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Catch and prevent
disease early and
avoid premature death
Reduce the risk of
catastrophic costs
associated with disease
and treatment
Extend healthy life span
The impact…
Health Nucleus is a first-of- its-kind discovery
center that combines whole genome
sequencing with whole body MRI for early
detection and risk assessment
Machine learning-based integrated diagnostics
predict lifetime and short term risk of chronic age
related disease
Case review done by expert team of geneticists,
bioinformaticians, radiologists & primary care
physicians
Establishes unprecedented health baseline
Health Nucleus: A Prototype for Precision Wellness
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The Health Nucleus establishes a health baseline, identifies health risk, and directs lifestyle and care treatments in order to prevent and/or mitigate life and financial risks
BASELINE HEALTH ASSESSMENT
Whole genome
sequencing
Full body and
brain MRI
Core laboratory
analysis Microbiome
Analysis
Colorectal Cancer
Screen
Coronary calcium
scoring (CT scan)
Cardiac
rhythm monitor
Medical History
ANNUAL FOLLOW-UP
Updated
genomics report
Full body and
brain MRI
Core laboratory
analysis
Microbiome
Analysis
(Optional)
Health Nucleus Core
Optional
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* Ages 50 – 74, 2015 in USA; Adapted from Institute of Health Metrics and Evaluation, University of Washington.
http://www.healthdata.org/results/data-visualizations
MALE
39% RISK OF DEATH*
CARDIOVASCULAR 30%
CANCER 33%
FEMALE
24% RISK OF DEATH*
CANCER 40%
CARDIOVASCULAR 23%
NEUROLOGIC 3%
CIRRHOSIS 5%
DIABETES 7%
RESPIRATORY 6%
OTHER 16%
RESPIRATORY 8%
DIABETES 8%
CIRRHOSIS 4%
NEUROLOGIC 4%
OTHER 13%
Problem: 1/3 of people who live to age 50 do not live to 75
Preventable premature mortality from chronic age related disease
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Solution: Data-driven precision health platform
Code: Family History
Integration:
Physician
Core: Physical
exam
Last 30+ years
Code: Whole genome sequencing
Integration: AI &
Machine Learning
Core: Whole Body
quantitative MRI
biomarkers
Next generation
Understanding your code and your core through whole genome sequencing and whole body MRI become the
chief components driving downstream preventative, personalized decision support
CONFIDENTIAL - NOT FOR DISTRIBUTION 28
Whole Body MRI
Derivation of Quantitative Biomarkers & Screening
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Precision Medicine Screening:
WGS + Imaging (Perkins et al. PNAS)
Provisional patent: Visualization tool for
cancer screening based using DWI-MRI signal
normalization
Provisional patent: Integrated Risk Model for Dementia using imaging and genetic biomarkers
Provisional patent: Fully Automated Body Composition from MRI-derived Dixon Imaging
Provisional patent: Systems and methods for
measuring obesity using metabolome analysis
Profound perturbation of the human metabolome by obesity (Cirulli et al. under review)
Provisional patent: Neural Networks for 3D
brain MRI Volumetric Segmentation and
Parcellated Surface representations
Provisional patent: Multimodal Personalized Recommenders for Disease Risk
Select IP and publications, beyond genomics
CONFIDENTIAL - NOT FOR DISTRIBUTION 30 *Provisional Patent
Fully Automated Body
Composition from MRI-derived Dixon Imaging
Fat and muscle biomarkers for Diabetes
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Quantitative volume assessment: Biomarkers for Dementia
Provisional Patent
HLI’s Approach < 10 mins Atlas-based approaches 3-12 hours
HLI’s Brain Quantitative Biomarkers
• Derives surface areas, thicknesses, and volumes
Measurements • Measurements are compared to diseased and
healthy populations.
Volumetric Measurements Surface Measurements T1-Weighted Image
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79 year old healthy
male HLI screening
client.
Unique DWI imaging
overlay enables easy
visualization of enlarged lymph
nodes worrisome for
Lymphoma.
Subsequent biopsy
confirmed follicular
lymphoma.
Provisional Patent
Based on MRI-DWI normalization & PET-
CT like overlays
Non-contrast Radiation-free Dx
Visualization tool for cancer screening
Technology Case Study
CONFIDENTIAL - NOT FOR DISTRIBUTION 33 Siemens Liver Lab
Liver fat biomarker for metabolic syndrome/Diabetes type 2
CONFIDENTIAL - NOT FOR DISTRIBUTION 34
Siemens compressed sensing segmented CINE WIP with peripheral gating: 7 minute non-contrast cardiac
MRI protocol from start to finish
Cardiac MRI for Structure/Function: Left ventricular Function
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AI Driven Risk Prediction: Multimodal approach
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Dementia Risk Prediction and Prevention
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Precision Health Clinical Reports and Digital Experience:
Personalized data-driven analytics that enable risk reduction
Interactive, Customer-Centric User Experience
Clinical report showcases integrated
Diagnostics with quantitative genomic,
clinical and imaging biomarkers
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HLIQ Cardio: Multi-modal Disease Risk Prediction
& Risk Mitigation for coronary artery disease
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Health Nucleus Network Program
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Sequencing Cost
AI & Machine
Learning
Advanced
Imaging
Imagine a day when nobody has to suffer from
unnecessary and preventable disease …
*illustrative 2015 2018 2020 2025 2030
WGS $4,000 $2,500 $1000 $400 $200
MRI $2,000 $700 $200 $100 $75
CT $350 $150 $50 $25 $50
Labs $200 $100 $80 $50 $25
Other $3,000 $2,000 $0 $0 $0
Total $12,000 $5,000 $1,600 $575 $350
Market Billionaire Millionaire Mainstream Birthright
Industry Trends
Precision Health is Coming
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• Scheduling
• MRI Imaging
• CT Imaging
• Imaging interpretation
• Blood Work
• WGS sequencing & report
• Pharmacogenomics
• GWAS scores
• Training of MDs, MRI techs
• Genetic counselors
• Client Relationship and
Acquisition
• Placing Orders
• Consent
• Past Medical History
• Results Delivery
IMAGING CONCIERGE/
ORDERING
MD’s
…powered by
Hospital or Clinic role Imaging Center Role
HLI’s Role
• Traits and ancestry
• Imaging biomarkers
• Integrated reports
• Machine learning diagnostics
• Oversee IRB
Expanding Platform via Partnerships
Partners that can provide a sleek/modern precision health
experience
SITE RENDERING ENTRANCE
RECEPTION
PATIENT ROOMS
MRI ROOM
CONFIDENTIAL - NOT FOR DISTRIBUTION 43
Providing precision health services at retail clinics has the potential to guide decision support and inform care pathways in a mainstream way
Enable retail clinics with
precision health analytic tools to
provide improved access to
preventative care
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Medicine has been a clinical science,
supported by data.
Medicine is about to become a data science,
supported by clinicians.