Cancer Immunotherapy with Artificial Intelligence for Hospitals: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

Published: Oct, 2017 | Pages: 124 | Publisher: WinterGreen Research
Industry: Pharmaceutical | Report Format: Electronic (PDF)

Worldwide markets are poised to achieve continuing growth as the artificial intelligence software increases diagnostic excellence, saving lives and lowering care delivery costs.

Hospital Artificial Intelligence for Immunotherapy drives sales of analytics systems.

Automated cancer immunotherapies from IBM Watson are implemented with artificial intelligence that looks at patient samples to detect the genetic characteristics of the cancer and isolate the immune particularities of the patient. Systems are able to take a multi-disciplinary integrated approach to looking at imaging and scans. The analysis of patient records, looking for effectiveness of particular treatments is more work than a human can do, the quantity of data is too high, so the artificial intelligence is being used to do that.

Personalized medicine is driving this market opportunity.

Systems are making a significant difference in saving lives.

Memorial Sloan Kettering physician-scientists are among leaders in the field developing groundbreaking immune therapies that are helping to treat several forms of advanced cancer that were previously untreatable. These scientists have played a lead role in developing and testing the immunotherapy drugs known as checkpoint inhibitors that “release the brakes” on the immune system.

Hospital care management can leverage artificial intelligence. Artificial intelligence is useful for providing highly tailored insights about individual patients for the purpose of personalizing immunotherapy care delivery. Artificial intelligence is useful for helping providers effectively address healthcare delivery because it details genetic specificity regarding individual patients.

The intersection of healthcare and artificial intelligence represents a market opportunity. New strategies are being developed by companies to bring A.I. to healthcare. The business challenges around those efforts are being addressed collectively in partnerships and in forums to bring the technology into the market. Artificial intelligence has an impact on patients, doctors, hospitals, clinical facilities, and the healthcare industry overall.

The ability of an intelligent system to learn from data without upfront human intervention brings significant change to the healthcare delivery system. It relies on the use of unsupervised and semi-supervised machine learning techniques. Segmentation, dimensionality reduction, anomaly detection and pattern recognition are replacing supervised manual techniques for diagnosis and care delivery.

According to Susan Eustis, lead author of the team that wrote the study, “Immunotherapy at Memorial Sloan Kettering (MSK) has been making enormous progress in the treatment of cancer. At Memorial Sloan Kettering, immunotherapy is one of the most promising ways to treat, cure, and ultimately prevent cancer. Immunotherapy at MSK has evolved new immune-based treatments for cancer. Researchers have been at the epicenter of new discoveries in the field, and their work is bringing exciting new treatment options to people with cancer.”

Artificial Intelligence for Hospital Cancer Immunotherapy Market Forecasts.

Cancer immunotherapy hospital artificial intelligence market system shipments at $7.4 billion in 2023 are forecast to reach $49.4 billion dollars, worldwide by 2023. These artificial intelligence systems represent a very specialized type of care delivery. Steady growth is anticipated because the severely ill patients with advanced cancer disease can be treated successfully with immunotherapy.

Companies Profiled

Market Leaders

• General Electric
• IBM

Market Participants

• Alphabet / Google
• GlaxoSmithKline (GSK)
• Merck
• Prognos
• Quest Diagnostics
• Safeguard Scientifics
• Zebra

Key Topics

• Cancer Immunotherapy
• Hospital Artificial Intelligence
• AI Technology
• Acurate Diagnosis
• Healthcare Artificial Intelligence
• Supervised machine learning
• AI hospital techniques
• AI Segmentation
• AI dimensionality reduction
• AI anomaly detection
• AI pattern recognition
• AI Replaces Supervised Manual Techniques For Diagnosis And Care Delivery

 Table of Contents

Abstract: Artificial Intelligence Applied to Cancer Immunotherapy Vastly Improves Treatments and Outcomes 1
Cancer Immunotherapy Artificial Intelligence (Ai) Executive Summary 11
Cancer Immunotherapy Artificial Intelligence (AI) Market Driving Forces 11
Cancer Immunotherapeutic Artificial Intelligence (AI) Market Driving Forces 14
Artificial Intelligence Oncology Treatment Market Shares: 16
Cancer Immunotherapy Artificial Intelligence for Hospitals Market Forecasts: 18

1. Cancer Immunotherapy Artificial Intelligence Market Description And Market Dynamics: 22
1.1 Artificial Intelligence Very Big Breakthrough in Cancer Immunotherapy 22
1.2 Ability of AI Solutions To Discover Schemas in Large Databases 23

2. Cancer Immunotherapeutic Artificial Intelligence (Ai) Market Driving Forecasts 25
2.1 Cancer Immunotherapeutic Artificial Intelligence (AI) Market Driving Forces 25
2.2 Artificial Intelligence Oncology Treatment Market Shares: 27
2.3 Cancer Immunotherapy Artificial Intelligence for Hospitals Market Forecasts: 30
2.4 Worldwide Checkpoint Inhibitor and Oncology Treatment Market Forecasts 38
2.5 Cancer Statistics 41
2.5.1 Cancer Among The Leading Causes Of Death Worldwide 46
2.6 Hospital Artificial Intelligence (AI) Challenges 49
2.7 Hospital Artificial Intelligence Software Prices: 52
2.8 Hospital Artificial Intelligence Regional Segments: 53

3. Cancer Immunotherapy Hospital Artificial Intelligence Products: 55
3.1 Memorial Sloan Kettering 55
3.1.1 Memorial Sloan Kettering Parker Institute 57
3.1.2 CAR T Immunotherapy 57
3.1.2 T-Cell Therapies from Merck and Bristol-Myers Squibb 58
3.1.3 Memorial Sloan Kettering Cancer Diagnostic Test, MSK-IMPACT 60
3.1.4 Memorial Sloan Kettering Intensified Tumor Testing 61
3.1.5 Memorial Sloan Kettering Effective Sequencing 61
3.1.6 Memorial Sloan Kettering Actionable the most important cancer geneTargets 62
3.2 MD Anderson Immune Therapy 63
3.2.1 MD Anderson Immune Therapy 65
3.2.2 MD Anderson Personalized Therapy TNBC Cancer Trials 66
3.3 Partners Dana Farber Immunotherapy 67
3.3.1 Advanced Melanoma Has Been The Test Case For The Study Of Immune Checkpoint-Inhibiting Therapy 68
3.4 Partners HealthCare, IBM, and GE Healthcare 70
3.5 IBM Watson 72
3.5.1 IBM Genomic And Immunotherapy Supercomputing for Patient Management 75
3.5.2 Mayo Clinic and IBM Watson 76
3.6 Google’s AI Subsidiary DeepMind is Partnering With Another UK hospital 78
3.7 Prognos 78

4. Hospital Artificial Intelligence Research And Technology: 79
4.1 IBM AI Research 79
4.1.1 Neural Representation of Sketch Drawings 80
4.1.2 IBM Watson Health And Broad Institute Launch Major Research Initiative To Study Why Cancers Become Drug Resistant 81
4.1.3 IBM and Quest Diagnostics 83
4.2 Research at Google 83
4.3 Google and Nvidia Artificial Intelligence 84

5. Hospital Artificial Intelligence Companies 86
5.1 Alphabet / Google 86
5.1.1 Google Artificial Intelligence Subsidiary DeepMind Healthcare Initiative 86
5.2 Broad Institute of MIT and Harvard 87
5.3 Foundation Medicine 88 >120k 88 >30 88 >200 88
5.3.1 Foundation Medicine 89
5.4 General Electric (GE) 90
5.4.1 General Electric Revenue by Segment 91
5.4.2 GE Healthcare and Massachusetts General Artificial Intelligence 91
5.5 Gritstone Oncology 94
5.6 IBM 94
5.6.1 IBM Watson Health 94
5.6.2 IBM Active in BWH, MGH Partnership To Advance Artificial Intelligence In Health Care 95
5.6.3 IBM Watson Artificial Intelligence for Oncology 96
5.6.4 IBM Watson Genomics by Quest Diagnostics 97
5.6.5 IBM Watson Healthcare Revenue 98
5.6.6 IBM Watson Solutions Software Healthcare Revenue 98
5.7 Juno Therapeutics 100
5.7.1 Juno Therapeutics Power Of Individualized Cancer Treatment 100
5.7.2 Juno Therapeutics CAR and TCR Technologies 101
5.8 Myriad Genetics 104
5.9 Nvidia 104
5.9.1 NVIDIA 105
5.9.2 Nvidia Revenue 106
5.7.3 Nvidia Customer HeartFlow Medical Technology 107
5.10 Pfizer 107
5.11 Prognos 108
5.11.1 Coding Healthcare Datasets Full Of Unstructured Text 110
5.12 Quest Diagnostics 114
5.12.1 IBM Personalized Healthcare: Watson Genomics from Quest Diagnostics 115
5.12.2 Quest Diagnostics Revenue 116
5.13 Safeguard Scientifics Announces Second Quarter 2017 Financial Results 116
5.13.1 Safeguard Scientifics Prognos DxCloud 117
Wintergreen Research, 118
WinterGreen Research Methodology 119
WinterGreen Research Process 120
Market Research Study 121
WinterGreen Research Global Market Intelligence Company 122
Report Description: Hospital Artificial Intelligence Models Matter 123

List of Figures

Abstract: Artificial Intelligence Applied to Cancer Immunotherapy Vastly Improves Treatments and Outcomes 1
Figure 1. T Lymphocycte 12
Figure 2. Cancer Immunotherapeutic Artificial Intelligence (AI) Market Driving Forces 14
Figure 3. Healthcare Safety Features Implemented by Artificial Intelligence (AI) 15
Figure 4. Cancer Immunotherapy Artificial Intelligence Market Shares, Systems, Dollars, Worldwide, 2016 17
Figure 5. Cancer Immunotherapy Hospital Artificial Intelligence Market Shipments Forecasts Dollars, Worldwide, 2017-2023 20
Figure 6. Cancer Artificial Intelligence Components 23
Figure 7. Hospital Artificial Intelligence Predictive Functions 24
Figure 8. Cancer Immunotherapeutic Artificial Intelligence (AI) Market Driving Forces 25
Figure 9. Healthcare Safety Features Implemented by Artificial Intelligence (AI) 26
Figure 10. Cancer Immunotherapy Artificial Intelligence Market Shares, Systems, Dollars, Worldwide, 2016 28
Figure 11. Cancer Immunotherapy Artificial Intelligence Systems, Market Shares, Dollars, Worldwide, 2016 29
Figure 12. Cancer Immunotherapy Artificial Intelligence Market Shipments Forecasts Dollars, Worldwide, 2017-2023 32
Figure 13. Cancer Immunotherapy Artificial Intelligence Market Shipments Forecasts Dollars, Worldwide, 2017-2023 33
Figure 14. AI Replacements for Supervised Manual Techniques For Diagnosis And Care Delivery. 34
Figure 15. Hospital Artificial Intelligence Long-Term Goal 35
Figure 16. Hospital Artificial Intelligence Action Functions 37
Figure 17. Immuno-Oncology Market Applications 39
Figure 18. Key players in the immuno-oncology market 40
Figure 19. Estimated New Cancer Cases in the US in 2017 41
Figure 20. Trends in Cancer Incidence Rates, US, 1975 to 2013 42
Figure 21. Estimated Cancer Deaths in the US in 2017 43
Figure 22. Pancreatic Cancer Survival Rate 45
Figure 23. Trends in Cancer Death Rates Among Males, US 1930 to 2014 46
Figure 24. Hospital Artificial Intelligence (AI) Challenges 49
Figure 25. Hospital Artificial Intelligence (AI) Human Factors 50
Figure 26. IBM 8408 E8E PSeries AIX Power8 Server EPV4 24-Core 52
Figure 27. Cancer Immunotherapy Artificial Intelligence Systems, Regional Market Segments, 2016 53
Figure 28. Cancer Immunotherapy Artificial Intelligence Systems, Regional Market Segments, 2016 54
Figure 29. T Lymphocycte 55
Figure 30. MD Anderson Genetic Sequencing Services: 64
Figure 31. MD Anderson Sample quality check (DNA and RNA) 64
Figure 32. MD Anderson Cancer Immunotherapy Custom Services: 65
Figure 33. Partners Dana Farber Immunotherapy Directions 67
Figure 34. Stephen F. Hodi, MD, Director, Partners Dana Farber Melanoma Center; Director, Center for Immuno-Oncology 68
Figure 35. Truven Health Analytics Products 74
Figure 36. IBM TrueNorth Neurosynaptic System 79
Figure 37. AI Makes Words Manageable 80
Figure 38. Foundation Medicine Metrics 88
Figure 39. GE Healthcare and Massachusetts General Artificial Intelligence Healthcare Initiative Workflow 92
Figure 40. GE Healthcare and Massachusetts General Artificial Intelligence Healthcare Initiative Center of Excellence 93
Figure 41. Juno Therapeutics Immunotherapy 100
Figure 42. Chimeric Antigen Receptor (CAR) T cell Technology 101
Figure 43. T Cell Receptor (TCR) Technology 102
Figure 44. Tumor Cells’ Ability To Develop Resistance 103
Figure 45. NVIDIA Tesla V100 Accelerator 105
Figure 46. Nvidia Interconnect and Memory Parameters 106
Figure 47. Prognos Investors 108
Figure 48. Percent Patients with Abnormally High Test 5 years Prior to First Pancreatic Cancer Diagnosis Stratified by Test and by Year 112
Figure 49. Prognos Pancreatic Cancer Diagnosis Test Result Variance 113
Figure 50. Watson Genomics from Quest Diagnostics Features: 115