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Select Watson solutions address a wide range of clinical and research needs in oncology
Electronic Medical Record Advisor
Watson Discovery Advisor(Insights from vast Medical and Research literature)
Watson Genomics Advisor(Insights into Tumor DNA Sequencing)
Watson for Oncology (Lung, Breast, Colon/Rectal
Treatment Plans)
Watson Clinical Trial Matching (Identify all eligible trials for a patient)
Analysis of Medical Images (MRI, Mammogram, etc)
Available today Research Phase2
Currently in Development/Testing
© 2014 International Business Machines Corporation
© 2014 IBM Corporation
Path Toward Personalized Medicine
Prominent personalized medicine treatments & diagnostics available 2
Green, ED et al (2011). Charting a course for genomic medicine from base pairs to bedside. Nature 470: 204-213
13in 2006
113in 2014
1 Tufts Center for the Study of Drug Development, 2010; 2 Personalized Medicine Coalition, 2014
Change in personalized healthcare investment from 2005 to 2010 1
75%
Biopharmaceutical companies investing in personalized healthcare research in 2010 1
94%
© 2014 IBM Corporation
Cancer Workflow: Research and Patient-Care
MutationDysfunction
Hyperplasia
DysfunctionSymptom/Finding
Mass
Radiology
Physical Exam & Review of Systems
Histology/Cytology
Molecular Analysis
Tumor Markers
Radiation
Chemotherapy Surgery
Biologics
Family Hx
Primary Care
Basic Science
Medical Hx
Biopsy• Diagnosis• Sub-type Analysis
• Personalize Therapy• Apply Treatment
Guidelines
© 2014 IBM Corporation
Survival Benefit of Targeted Treatment
Kris M, et al. Lung Cancer Mutation Consortium Survival by Group 2014, American Medical Association.
© 2014 IBM Corporation
How are These System Being Developed?
Learn
Test
Ingest
Clinical trialsClinical trials
Pharmaceutical Reports
Pharmaceutical Reports
Chemical Chemical
PatentsPatents
MedlineMedline
Reference GenomesReference Genomes
MutationMutation
Protein Pathways
Protein Pathways
Patient ReportsPatient Reports
Dysfunctional Proteins &Targeted Treatments
© 2014 IBM Corporation
…doxorubicin results in extracellular signal-regulated kinase (ERK)2 activation, which in turn phosphorylates p53 on a previously
uncharacterized site, Thr55…
Extracts Preposition Recognizes preposition location on Thr55
Extracts EntitiesERK2 = Protein, P53 = Protein, Thr55 = Amino Acid
Extracts Verb Maps to domain of Post Translational Modification Recognizes subject / object relationships
Extracts EntitiesERK2 = Protein, P53 = Protein, Thr55 = Amino Acid
Extracts EntitiesERK2 = Protein, P53 = Protein, Thr55 = Amino Acid
ERK2
phosphorylates
p53
on
Thr55
Protein Pathways: ExploratoryNatural Language Processing (Annotators) Identify and Provide Structure to Concepts
Learn
Test
Ingest
© 2014 IBM Corporation
Aspirin
GI Pain
Valium
Depression
Annotator Logic
Apply Annotators to TextWatson Creates
Knowledge Graph
• Aspirin is an antiplatelet indicated to reduce the risk of myocardial infarction
• Known side effects include Gastrointestinal (GI) pain, GI upset, ulcers, GI bleeding, and nausea
• Valium or Diazepam is a benzodiazepine derivative, indicated for the treatment of anxiety, muscle spasms
• Valium may cause depression, suicidal ideation, hyperactivity, agitation, aggression, hostility…
• Drug = entity
• Side effect = entity association cause
• Cause = relating verb
• Rule = 1 drug to 1 side effect
Learn
Test
Ingest
Protein Pathways: ExploratoryConcepts are Classified and Relationships Defined
© 2014 IBM Corporation
• Quantity
• Proximity
• Relationship
• Domain Truths/ Business Rules
What genes contribute to developing
colon cancer?
Search CorpusExtract
EvidenceScore & WeighQuestion
• Side Effects
• Lab Notes
• Genes
• Publications
• Drugs
• Animal Models
• Clinical Trial Data
Learn
Test
Ingest
Protein Pathways: ExploratoryKnowledge is Reviewed and Statistics Added
© 2014 IBM Corporation
Step 2: Organization
Domain Entities
Ontologies(e.g. organism, cell, protein,
amino acid)
Step 3: Relationships
Step 4: Prediction
Known Pathways Predicted Effects
Step 1: Exploring for Entities
Unstructured
FUNCTION
FORM
Jak2
Jak3 Jak1
TCF7
ATM
SER1TCF5
P53
Gene A Gene Bor
Protein Pathways: ExploratoryOverall
© 2014 IBM Corporation
What Genomic Data is Being Leveraged?Sample Collection Sequencing
Variation Detection Data Presentation
© 2014 IBM Corporation
Watson Genomic Analytics: Process
Molecular Profile Analysis
Input: (Patient Specific)1) Somatic Mutation (VCF or MAF file)2) Copy Number Variation (log2 format)
These patient specific abnormalities are compared against known mutations and reference genomes to determine likely “drivers” of the patients cancer
-Databases are gathered from consensus community leading
Output: (Clinically Focused)1) List of Dysfunctional Proteins2) IBM Developed Driver Score3) Targeted Therapies
© 2014 IBM Corporation
Watson Genomic Analytics: Process (continued)
Pathway Analysis
Collections of consensus pathways (known) and NLP based augmented pathway (unknown) is used for our pathway traversal algorithm
Drug Recommendation
Proteins directly or closely related mutated proteins are identified and correlated with approved or investigational drug therapies
© 2014 IBM Corporation
As sequencing becomes less resource intensive genomic data is becoming more and more prevalent.
Genomic Data is being integrated with scientific literature and patient data to advance clinical care. This integration is allowing personalized medicine to take shape.
In response to the continued growth in the amount and complexity of medical knowledge industry leaders are leveraging process and machine-learning algorithms to scale expertise within and across the various basic science and clinical domains.
Summary