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Artificial Intelligence in Cancer Diagnosis and Th

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  1. Global  Artificial Intelligence in Cancer Diagnosis and Therapy Market   research report offers a panoramic view of the Artificial Intelligence in Cancer Diagnosis and Therapy Market   , regulatory framework, and macro- and micro-economic factors that influence the growth of the industry. The report strives to offer authentic information about the Artificial Intelligence in Cancer Diagnosis and Therapy Market   size, share, product portfolio, revenue estimations, and growth rate. The report has been formulated through extensive primary and secondary research along with verified and reliable data obtained from industry experts and professionals.
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  3. The global Artificial Intelligence (AI) in cancer diagnosis & therapy market size was USD 367.9 Million in 2021 and is expected to register a revenue CAGR of 34.4% during the forecast period, according to latest analysis by Emergen Research. Increasing prevalence of cancer in global population and rising mortality rate from cancer are expected to drive revenue growth of the global AI in cancer diagnosis & therapy market. In addition, significant developments in AI-based approaches to detect genetic changes and aberrant protein interactions at an early stage are driving market revenue growth.
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  5. Key participants include
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  7. Pfizer Inc., Therapixel, SOPHiA Genetics, Janssen Global Services, LLC., PathAI, IBM, Microsoft, Oracle, OncoHealth, and Oncora Medical.
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  9. Request Free Sample @ https://www.emergenresearch.com/request-sample/1106
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  11. Drivers:
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  13. Several factors drive the growth of the AI in Cancer Diagnosis and Therapy market. One primary driver is the increasing incidence of cancer worldwide, coupled with the growing complexity and heterogeneity of cancer subtypes, which necessitates more precise and individualized approaches to diagnosis and treatment. AI technologies offer the promise of improving diagnostic accuracy, identifying subtle patterns and biomarkers indicative of cancer, and enabling early detection of tumors when treatment is most effective. Additionally, the integration of AI into clinical workflows streamlines decision-making processes, reduces diagnostic errors, and optimizes resource utilization in oncology practices and healthcare systems.
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  15. Research Methodology
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  17. Emergen Research follows a cohesive methodology to reduce the residual errors to a minimum level by refining the scope, validating through primary insights, and nurturing the in-house database on a regular basis. A dynamic model is formulated to capture the regular fluctuations in the market and thereby, being updated with any shifts in the market dynamics. The parameters and variables involved in the research vary depending on individual markets and most importantly, both demand and supply side information is included in the model to identify the market gap.
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  21. Key Objectives of the Global Artificial Intelligence in Cancer Diagnosis and Therapy Market   Report:
  22.  
  23. An all-inclusive analysis and forecast estimation of the market have been included in this report.
  24. The report offers valuable insights into the major drivers, limitations, opportunities, and challenges faced by the global  Artificial Intelligence in Cancer Diagnosis and Therapy Market   
  25.  and its leading players.
  26. The report sheds light on the prominent market contenders, as well as their business strategies and long-term expansion plans.
  27. Get access to the full description of the report @ https://www.emergenresearch.com/industry-report/artificial-intelligence-in-cancer-diagnosis-and-therapy-market
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  30.  
  31. Restraints:
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  33. Despite its potential, the AI in Cancer Diagnosis and Therapy market faces certain restraints. One challenge is the validation and regulatory approval of AI algorithms and software solutions for clinical use, ensuring their safety, reliability, and effectiveness in real-world patient care settings. Regulatory agencies such as the FDA and EMA require robust clinical evidence and validation studies to support the implementation of AI-based medical devices and software as medical devices (SaMD). Moreover, concerns about data privacy, security, and bias in AI algorithms underscore the importance of transparency, ethical guidelines, and regulatory oversight in AI-driven healthcare applications.
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  35. Emergen Research has segmented the global AI in cancer diagnosis & therapy market based on surgery type, cancer type, end-use, and region:
  36.  
  37. · Surgery Type Outlook (Revenue, USD Million; 2019-2030)
  38. Radiotherapy
  39. Chemotherapy
  40. Immunotherapy
  41. Precision Therapy
  42. Phototherapy
  43. Gene Therapy
  44. Sonodynamic Therapy
  45. · Cancer Type Outlook (Revenue, USD Million; 2019-2030)
  46. Breast Cancer
  47. Lung Cancer
  48. Melanoma Cancer
  49. Colorectal Cancer
  50. Prostate Cancer
  51. Others
  52. · End-Use Outlook (Revenue, USD Million; 2019-2030)
  53. Hospitals
  54. Cancer Research Center
  55. Diagnostic Labs
  56.  Regional Overview:
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  58. The global  Artificial Intelligence in Cancer Diagnosis and Therapy Market   market has been categorized on the basis of key geographical regions into North America, Asia Pacific, Europe, Latin America, and Middle East & Africa. It evaluates the presence of the global  Artificial Intelligence in Cancer Diagnosis and Therapy Market   market in the major regions with regards to market share, market size, revenue contribution, sales network and distribution channel, and other key elements
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  60. The report considers the following timeline for market estimation:
  61.  
  62. Historical Years: 2017-2018
  63. Base Year: 2019
  64. Estimated Year: 2027
  65. Forecast Years: 2020-2027
  66. Global  Artificial Intelligence in Cancer Diagnosis and Therapy Market  Report – Table of Contents:
  67.  
  68. Chapter 1 includes the global  Artificial Intelligence in Cancer Diagnosis and Therapy Market   market introduction, followed by the market scope, product offerings, growth opportunities, market risks, driving forces, and others.
  69. Chapter 2 broadly categorizes the  Artificial Intelligence in Cancer Diagnosis and Therapy Market   market on the basis of geography, and determines the sales, revenue, and market shares of each region over the estimated period.
  70. Chapter 3 elaborates on the competitive outlook of the  Artificial Intelligence in Cancer Diagnosis and Therapy Market   market, focusing on the major manufacturers and vendor landscape.
  71. Chapter 4 exhaustively studies the key manufacturers of the  Artificial Intelligence in Cancer Diagnosis and Therapy Market   industry, along with their anticipated sales and revenue shares.
  72. Chapters 5 includes market segmentation based on product type, application range, and market players. 
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  98.  
  99. About Emergen Research
  100.  
  101. Emergen Research is a Market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyze consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer Market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trends existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.

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