The document describes Khure Health, a company that uses artificial intelligence and natural language processing on electronic medical record data to develop clinical decision support algorithms for over 100 rare and complex diseases, with the goal of helping physicians more quickly and accurately diagnose patients through clinical decision support tools and access to clinical specialists. Khure Health's platform analyzes a patient's full clinical history and test results to identify potential diagnoses and optimized care pathways for high-risk complex patients.

1. CORD’s Spring Conference June 8th, 2022
Don Watts, President & GM, Khure Health

2. Khure Health
Clinical Decision Support for Rare & Complex Conditions
Mission:
To help physicians save lives and end the suffering of rare
and complex disease patients through the use of advanced
AI for earlier diagnosis.
How:
• Putting the vast amounts of EMR data sitting idle to good
use
• Employing AI to help connect the clinical dots for complex
diseases
• Powerful clinical decision-support tool

3. * C.O.R.D – Canadian Organization for Rare Disease
Traditional investments in technology have done
little to help over-burdened physicians diagnose
complex patients
Major clinical leap:
AI-enabled Clinical Decision Support
1 in 12 Canadians
has a rare
disorder*
Every Physician Has a Rare Disease Patient—Whether They Know It or Not

4. Khure Health’s Clinical Intelligence Platform
Quickly Understand Complex, High-Risk Patients
…and get them on the right care pathway.
Stratify
risk and understand
complex patient details
Optimize
diagnosis and care
pathways
Identify
potential risk.

5. The Data is There … Sitting Idle
• EMR agnostic, cloud-based
• 100+ Rare Disease algorithms
• Educational Content
• Streamlined Workflows
• Instant In-Visit Screen: Screen a challenging patient against all
available pathologies
• Clinical Support available from Khure’s Clinical Specialists (MDs)
We help HCPs put it to Good Use

6. Artificial Intelligence – Advanced NLP
Natural Language Processing
• Instant EMR analysis of meds, labs, specialist
reports, clinical history/notes
• NLP is a form of Machine Learning (ML)
• Like speech recognition only using text
• Understand the context (minimize false
positives)
• Connect the dots over a lifetime of data

7. Algorithm Development
Integrating Multiple Sources and Expertise
Cryptic, structured, and unstructured data within EMR can be
extracted, feature-classified, and incorporated into logical
operators capable of identifying clinically meaningful cohorts
Pathology
specific
algorithms
Data structuring
and feature
extraction
Unstructured
EMR Data
Accelerated
linkage to care

8. Pathologies currently on the Khure Health platform
100 rare pathologies and counting
(with integration of chronic conditions now in development)
1. Aagenaes Syndrome
2. Acquired Hemophilia A
3. Adult Dermatomyositis
4. Adult ITP (Idiopathic Thrombocytopenic Purpura)
5. Adult Onset Still's Disease
6. Adult Polymyositis
7. Alpha Thalassemia
8. Ankylosing Spondylitis
9. Acquired Pure Red Cell Aplasia
10. Atypical Haemolytic Uremic Syndrome
11. Autosomal Dominant Polycystic Kidney Disease
12. Beta Thalassemia
13. Chronic Idiopathic Urticaria
14. Cushing's Syndrome
15. Diabetic Macular Edema
16. Essential Thrombocythemia
17. Fabry's Disease
18. Gaucher's Disease
19. Giant Cell Arteritis
20. hATTR Amyloidosis
21. Henoch Schoenlein Purpura
22. Hepatitis C Virus (HCV)
23. Hepatopulmonary Syndrome
24. Hereditary Angioedema (HAE)
25. Hereditary Elliptocytosis
26. Hereditary Spherocytosis
27. HHRH (Hereditary Hypophosphatemic Rickets with Hypercalciuria)
28. Hunter Syndrome
29. Hurlers Disease
30. Hypophosphatasia
31. Hypophosphatemia X-Linked
32. Juvenile Dermatomyositis
33. Juvenile ITP (Idiopathic Thrombocytopenic Purpura)
34. Juvenile Polymyositis
35. Kawasaki Disease
36. Loeyz-Dietz Syndrome
37. Multiple Myeloma
38. Multi-focal Motor Neuropathy
39. Myelofibrosis
40. Neuroblastoma
41. Neuromyelitis Optica Spectrum Disorder
42. Paroxysmal Nocturnal Hemoglobinuria
43. Pompe Disease
44. PPP (Palmoplantar Pustular Psoriasis)
45. Primary Biliary Cholangitis
46. Pulmonary Arterial Hypertension
47. Severe Allergic Asthma
48. Severe Eosinophilic Asthma
49. Sideroblastic Anemia
50. Thrombotic Thrombocytopenic Purpura
51. Typical Hemolytic Uremic Syndrome
52. Von Willebrand’s
53. AA Amyloidosis
54. Atrial Fibrillation
55. Bernard-Soulier Syndrome
56. Brugada Syndrome
57. Cold Agglutinin Disease
58. Ebstein anomaly
59. Eisenmenger syndrome
60. Fanconi Anemia
61. Glanzmann Thrombasthenia
62. Immune Thrombocytopenia Purpura (ITP)
63. Marfans Syndrome
64. Myelodysplastic Syndrome
65. Non-ischemic pediatric cardiomyopathy
66. Patent ductus arteriosus
67. Polycythemia Vera
68. Psoriatic Arthritis
69. Severe Plaque Psoriasis
70. Shprintzen-Goldberg syndrome
71. Sickle Cell Anemia
72. ALS
73. nmCRPC
74. Transthyretin Amyloid Cardiomyopathy
75. Recurrent Fever Syndromes
76. Castleman Disease
77. Neiman Pick
78. Primary Sclerosing Cholangitis

9. Pathologies on the Khure Health Platform
100 rare & specialty pathologies and counting
79. Rheumatoid Arthritis
80. Secondary hyperparathyroidism
81. Spinal Muscular Atrophy
82. Long-Chain Fatty Acid Oxidation Disorders
83. Anaplastic lymphoma kinase (ALK)-positive metastatic Non-small cell lung cancer
84. Best Vitelliform Macular Dystrophy
85. Budd-Chiari Syndrome
86. Cerebral Adrenoleukodystrophy
87. Cone Dystrophy
88. Cystic Fibrosis
89. Emphysema - severe hereditary deficiency of alpha1-PI alpha1-antitrypsin deficiency)
90. Endometriosis
91. Guillain-Barre Syndrome
92. Hemiplegic Migraines
93. Hepatopulmonary Syndrome
94. Juvenile idiopathic arthritis
95. Metastatic Colorectal Cancer
96. Morquio syndrome
97. Multiple Sclerosis (Remitting-Relapsing)
98. Myasthenia gravis
99. Narcolepsy
100. B-cell precursor acute lymphoblastic leukemia (relapsed or refractory)
By Specialty Total:100
1
1
1
2
2
3
3
4
5
5
6
6
10
13
14
24
Immunology
Obstetrics & Gynaecology
Urology
Dermatology
Gastroenterology
Nephrology
Ophthamology
Pulmonology
Endocrinology
Hepatology
Metabolic
Oncology
Neurology
Cardiology
Rheumatology
Hematology

10. Poster Presented at the Canadian Society of Nephrology Meeting May 12-14, 2022
Immense Opportunity to Support Improved Care