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Applying Digital Technologies to
Rare Disease Diagnosis, Care,
Treatment and Cure
Michael	N.	Liebman,	PhD	
Managing	Director,	IPQ	Analytics,	LLC	
Professor,	Drexel	College	of	Medicine	
Professor,	Wenzhou	College	of	Medicine	
Invited	Professor,	SCBIT,	Chinese	Academy	of	Science
The Process of Disease
Genetics	
Lifestyle	
Environment	
individual	 Patient	 Patient	 Individual	
Risk
Assessment
Symptoms and Signs
Diagnosis
Outcome
and
Quality of Life
Treatment	
Options	
M	Liebman,	IPQ	Analytics	2018	
Disease
Stratification
Treatment
Options
The Process of Disease
Genetics	
Lifestyle	
Environment	
individual	 Patient	 Patient	 Individual	
Risk
Assessment
Symptoms and Signs
Diagnosis
Outcome
and
Quality of Life
Treatment	
Options	
M	Liebman,	IPQ	Analytics	2018	
Disease
Stratification
Treatment
Options
SimpleàComplicatedàComplex
M	Liebman,	IPQ	Analytics	2019	
Real	World	patients	and	disease	are	Complex!!
Genetics	
Lifestyle	
Environment	
individua
l	 Patient	 Patient	 Individual	
Risk
Assessment
Outcome
and
Quality of Life
Treatment	
Options	
Physician	
Pharma	
Payer	 Provider	 Regulatory	
The Challenge: Different Perspectives and
Priorities
Public	
M	Liebman,	IPQ	Analytics	2019	
Symptoms and Signs
Diagnosis
Disease
Stratification
Treatment
Options
Disease: Real World Data
Individual	 Patient	
Treatment	
Options	 Patient	
Patient	
Individual	
Healthcare Provider/System
Payer/ACO/Hospital
Risk	Assessment	
•  Family	history	
•  Genomic	profile	
•  Lifestyle	
•  Environment	
•  in	utero	
exposure	
•  Clinical	history	
Presentation	
•  Signs	
•  Symptoms	
•  Co-morbidities	
•  Active	
•  Inactive	
•  Undiagnosed	
•  Medications	
Diagnosis	
•  Guidelines	/	Criteria	
•  Biomarkers	/	Diagnostics	
•  Disease	stage	
•  Direction	
•  Velocity	
•  Missed	/	Mis-diagnosis	
•  Biopsies	
Disease	
Characterization	
•  Pre-disease	
•  Advanced	
disease	
•  Prognosis	
•  Stratification	
Treatment	
Options	
•  Guidelines	
•  RW	practice	
•  Off-label	use	
•  Risk/benefit	
ratio	
Patient	Compliance	
•  Side	effects	
•  Adherence	
•  Perception	of	risk	
•  Social/community	networks	
•  Cultural	background	
•  Expectations	
•  Confidence	in	HCP	
Outcome	
•  Disease-free	survival		
•  Re-admission	
•  Management	vs.	cure	
•  Minimum	residual	
disease	
•  Side	effects	
Physician	Compliance	
M	Liebman,	IPQ	Analytics	2019
Syndrome (Diagnosis vs Guidelines)
Patient	1		“Diagnosis”	
•  Symptom	1 	pain	
•  Symptom	2 	anemia	
•  Symptom	3 	…	
•  Symptom	4 	…	
•  Symptom	5 	…	
•  Symptom	6 	…	
•  Symptom	7 	…	
•  Symptom	8 	…	
•  Symptom	9 	…	
•  Symptom	10 	…	
Patient	2		“Diagnosis”	
•  Symptom	1 	pain	
•  Symptom	2 	anemia	
•  Symptom	3 	…	
•  Symptom	4 	…	
•  Symptom	5 	…	
•  Symptom	6 	…	
•  Symptom	7 	…	
•  Symptom	8 	…	
•  Symptom	9 	…	
•  Symptom	10 	…	
M	Liebman,	IPQ	Analytics	2019
A 2014 study led by Singh found that
at least one in 20 adults in the USA left
the doctor’s office with a misdiagnosis,
which equates to 12 million people
per year. Half of these misdiagnoses,
the authors estimated, are potentially
harmful.
Error in Diagnosis IOM	Report	
10%	Error	in	Diagnosis	
40-50%	Error		
in	Disease	Stratification	
IPQ	Analytics,	LLC	2018	
Autism	
Asperger	
Pervasive	
Dev	Disorder	
Autistic	
Disorder
Hs Troponin Assay Leads to Overdiagnosis of MI?
Batya Swift Yasgur MA, LSW. March 27, 2019
Using	a	high-sensitivity	cardiac	troponin	1	(hs-cTnI)	assay	to	diagnose	
myocardial	infarction	(MI)	may	lead	to	overdiagnosis	with	resulting	inappropriate	
therapies.
Studies	on	20,000	consecutive	inpatients	found	that	1	in	20	had	levels	of	troponin	
exceeding	the	recommended	upper	limit	of	normal	(ULN)	and	showed	no	clinical	
signs	or	symptoms	of	MI
New Dementia Subtype That Mimics Alzheimer's
Identified
Megan Brooks. May 03, 2019
Limbic-predominant age-related TDP-43 encephalopathy (LATE) is a specific
type of dementia that mimics Alzheimer disease (AD) but is caused by
TDP-43 protein deposits in the brain rather than beta-amyloid accumulation
and mostly affects
people older than 80 years	
Limiting Accuracy of Diagnosis…and Treatment
Genetic Disorders
	
A genetic disorder is a disease caused in whole or in part by a change in
the DNA sequence away from the normal sequence. Genetic disorders
can be caused by a 
1)  mutation in one gene (monogenic disorder) 
2)  mutations in multiple genes (multifactorial inheritance disorder)
3)  combination of gene mutations and environmental factors
4)  damage to chromosomes (changes in the number or structure of
entire chromosomes, the structures that carry genes)
 We used American College of Medical Genetics (ACMG) guidelines were used
for the classification of rare sequence variants, and additionally we assessed
pharmacogenetic variants. Twelve out of 70 (17%) participants had medically
actionable findings in Mendelian disease genes, including 6 (9%) with
mutations in genes not currently included in the ACMG’s list of 59 actionable
genes. 	
High Frequency Actionable Pathogenic Exome Mutations in an Average-Risk Cohort
Shannon Rego, Orit Dagan-Rosenfeld, Wenyu Zhou, M. Reza
Sailani, Patricia Limcaoco, Elizabeth Colbert, Monika Avina, Jessica Wheeler, Colleen Craig, Denis S
alins, Hannes L. Röst, Jessilyn Dunn, Tracey McLaughlin, Lars M. Steinmetz, Jonathan
A. Bernstein, Michael P. Snyder
Michael Snyder, director of the Stanford Center for Genomics and Personalized
Medicine in Palo Alto, California, and colleagues found that 12 out of 70 healthy adults,
or
17%, unknowingly had one or more DNA mutations that increased the risk for
genetic diseases for which there are treatment or preventative options.
Genomics + lifestyle/environment à rare disease
Ho called her cousin, who had recently graduated from
medical school, and asked him if he’d ever heard of
Behcet’s, which is believed to result from a
combination of genetic and environmental
factors.	
New York Times, Health & Science April 24, 2019
For three years her skin ulcers and pain
would flare, then vanish, stumping
doctors. Her daughter, a nurse, finally
figured it out.
Factors	Influencing	Disease	
lifestyle/environment	 genetics	 healthcare	
60%	
10%	
30%
Ambiguity in Diagnosis and Staging
time	
CV	
Patient	1	
Patient	2	
Patient	3	
biomarker	
10	
50	
M	Liebman,	IPQ	Analytics	2019	
Margaret	Hamburg,	FDA,		"clinicians	have	long		
observed	that	patients	with	similar	symptoms	
may	have	different	illnesses”		
Paving	the	Way	for	Personalized	Medicine	2013
Disease is a Process, Not a State
Disease	Process	
Patient	Risk	
Diagnosis	2	
Treatment	2	
Patient	Response	2	
M Liebman, IPQ Analytics 2019
Every	Disease	Exhibits:	
-	Direction	(high-dimensionality)	
-	Progression	(staging)	
-	Velocity	(rate	of	progression)	
1 2 3 4
X	
0
Diagnosis	3	
Treatment	3	
Patient	Response	3	X	
Diagnosis	4	
Treatment	4	
Patient	Response	4	X
Hourly
Daily
Conception	
10	weeks	 20	weeks	 30	weeks	 40	weeks	
Birth	
0	weeks	
Lifestyle	
Environment	
Developmental	
Processes	
Developmental	
Stages	
Monthly…
Digital Health will:
•  Generate	comprehensive	and	reproducible	data		
•  Establish	baseline	behaviors	with	critical	observation	of	normal	
fluctuations	over	time,	for	individuals	and	populations	
•  Enable	earlier	identification	of	abnormal	patterns		
•  Enhance	disease	stratification	based	on	clinical	observations	
•  Improve	target	selection	for	drug	development	
•  Integrate	into	clinical	decision	support	systems	
•  Support	monitoring	of	response	to	therapy	
•  Early	warning	for	adverse	events
 Michael Liebman (IPQ Analytics)  Applying Digital Technologies to Rare Disease Diagnosis, Care, Treatment, and Cure

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Michael Liebman (IPQ Analytics) Applying Digital Technologies to Rare Disease Diagnosis, Care, Treatment, and Cure

  • 1. Applying Digital Technologies to Rare Disease Diagnosis, Care, Treatment and Cure Michael N. Liebman, PhD Managing Director, IPQ Analytics, LLC Professor, Drexel College of Medicine Professor, Wenzhou College of Medicine Invited Professor, SCBIT, Chinese Academy of Science
  • 2. The Process of Disease Genetics Lifestyle Environment individual Patient Patient Individual Risk Assessment Symptoms and Signs Diagnosis Outcome and Quality of Life Treatment Options M Liebman, IPQ Analytics 2018 Disease Stratification Treatment Options
  • 3. The Process of Disease Genetics Lifestyle Environment individual Patient Patient Individual Risk Assessment Symptoms and Signs Diagnosis Outcome and Quality of Life Treatment Options M Liebman, IPQ Analytics 2018 Disease Stratification Treatment Options
  • 5. Genetics Lifestyle Environment individua l Patient Patient Individual Risk Assessment Outcome and Quality of Life Treatment Options Physician Pharma Payer Provider Regulatory The Challenge: Different Perspectives and Priorities Public M Liebman, IPQ Analytics 2019 Symptoms and Signs Diagnosis Disease Stratification Treatment Options
  • 6. Disease: Real World Data Individual Patient Treatment Options Patient Patient Individual Healthcare Provider/System Payer/ACO/Hospital Risk Assessment •  Family history •  Genomic profile •  Lifestyle •  Environment •  in utero exposure •  Clinical history Presentation •  Signs •  Symptoms •  Co-morbidities •  Active •  Inactive •  Undiagnosed •  Medications Diagnosis •  Guidelines / Criteria •  Biomarkers / Diagnostics •  Disease stage •  Direction •  Velocity •  Missed / Mis-diagnosis •  Biopsies Disease Characterization •  Pre-disease •  Advanced disease •  Prognosis •  Stratification Treatment Options •  Guidelines •  RW practice •  Off-label use •  Risk/benefit ratio Patient Compliance •  Side effects •  Adherence •  Perception of risk •  Social/community networks •  Cultural background •  Expectations •  Confidence in HCP Outcome •  Disease-free survival •  Re-admission •  Management vs. cure •  Minimum residual disease •  Side effects Physician Compliance M Liebman, IPQ Analytics 2019
  • 7. Syndrome (Diagnosis vs Guidelines) Patient 1 “Diagnosis” •  Symptom 1 pain •  Symptom 2 anemia •  Symptom 3 … •  Symptom 4 … •  Symptom 5 … •  Symptom 6 … •  Symptom 7 … •  Symptom 8 … •  Symptom 9 … •  Symptom 10 … Patient 2 “Diagnosis” •  Symptom 1 pain •  Symptom 2 anemia •  Symptom 3 … •  Symptom 4 … •  Symptom 5 … •  Symptom 6 … •  Symptom 7 … •  Symptom 8 … •  Symptom 9 … •  Symptom 10 … M Liebman, IPQ Analytics 2019
  • 8. A 2014 study led by Singh found that at least one in 20 adults in the USA left the doctor’s office with a misdiagnosis, which equates to 12 million people per year. Half of these misdiagnoses, the authors estimated, are potentially harmful.
  • 9. Error in Diagnosis IOM Report 10% Error in Diagnosis 40-50% Error in Disease Stratification IPQ Analytics, LLC 2018 Autism Asperger Pervasive Dev Disorder Autistic Disorder
  • 10. Hs Troponin Assay Leads to Overdiagnosis of MI? Batya Swift Yasgur MA, LSW. March 27, 2019 Using a high-sensitivity cardiac troponin 1 (hs-cTnI) assay to diagnose myocardial infarction (MI) may lead to overdiagnosis with resulting inappropriate therapies. Studies on 20,000 consecutive inpatients found that 1 in 20 had levels of troponin exceeding the recommended upper limit of normal (ULN) and showed no clinical signs or symptoms of MI New Dementia Subtype That Mimics Alzheimer's Identified Megan Brooks. May 03, 2019 Limbic-predominant age-related TDP-43 encephalopathy (LATE) is a specific type of dementia that mimics Alzheimer disease (AD) but is caused by TDP-43 protein deposits in the brain rather than beta-amyloid accumulation and mostly affects people older than 80 years Limiting Accuracy of Diagnosis…and Treatment
  • 11. Genetic Disorders A genetic disorder is a disease caused in whole or in part by a change in the DNA sequence away from the normal sequence. Genetic disorders can be caused by a 1)  mutation in one gene (monogenic disorder) 2)  mutations in multiple genes (multifactorial inheritance disorder) 3)  combination of gene mutations and environmental factors 4)  damage to chromosomes (changes in the number or structure of entire chromosomes, the structures that carry genes)
  • 12.
  • 13.  We used American College of Medical Genetics (ACMG) guidelines were used for the classification of rare sequence variants, and additionally we assessed pharmacogenetic variants. Twelve out of 70 (17%) participants had medically actionable findings in Mendelian disease genes, including 6 (9%) with mutations in genes not currently included in the ACMG’s list of 59 actionable genes.  High Frequency Actionable Pathogenic Exome Mutations in an Average-Risk Cohort Shannon Rego, Orit Dagan-Rosenfeld, Wenyu Zhou, M. Reza Sailani, Patricia Limcaoco, Elizabeth Colbert, Monika Avina, Jessica Wheeler, Colleen Craig, Denis S alins, Hannes L. Röst, Jessilyn Dunn, Tracey McLaughlin, Lars M. Steinmetz, Jonathan A. Bernstein, Michael P. Snyder Michael Snyder, director of the Stanford Center for Genomics and Personalized Medicine in Palo Alto, California, and colleagues found that 12 out of 70 healthy adults, or 17%, unknowingly had one or more DNA mutations that increased the risk for genetic diseases for which there are treatment or preventative options.
  • 14. Genomics + lifestyle/environment à rare disease Ho called her cousin, who had recently graduated from medical school, and asked him if he’d ever heard of Behcet’s, which is believed to result from a combination of genetic and environmental factors. New York Times, Health & Science April 24, 2019 For three years her skin ulcers and pain would flare, then vanish, stumping doctors. Her daughter, a nurse, finally figured it out.
  • 16. Ambiguity in Diagnosis and Staging time CV Patient 1 Patient 2 Patient 3 biomarker 10 50 M Liebman, IPQ Analytics 2019 Margaret Hamburg, FDA, "clinicians have long observed that patients with similar symptoms may have different illnesses” Paving the Way for Personalized Medicine 2013
  • 17. Disease is a Process, Not a State Disease Process Patient Risk Diagnosis 2 Treatment 2 Patient Response 2 M Liebman, IPQ Analytics 2019 Every Disease Exhibits: - Direction (high-dimensionality) - Progression (staging) - Velocity (rate of progression) 1 2 3 4 X 0 Diagnosis 3 Treatment 3 Patient Response 3 X Diagnosis 4 Treatment 4 Patient Response 4 X
  • 19. Daily
  • 20. Conception 10 weeks 20 weeks 30 weeks 40 weeks Birth 0 weeks Lifestyle Environment Developmental Processes Developmental Stages Monthly…
  • 21. Digital Health will: •  Generate comprehensive and reproducible data •  Establish baseline behaviors with critical observation of normal fluctuations over time, for individuals and populations •  Enable earlier identification of abnormal patterns •  Enhance disease stratification based on clinical observations •  Improve target selection for drug development •  Integrate into clinical decision support systems •  Support monitoring of response to therapy •  Early warning for adverse events