The global AI in precision medicine market is anticipated to grow at a CAGR of 19.2% during the forecast period (2023-2030). Several methods use a machine learning (ML) model to categorize genes as tumor suppressors, oncogenes, or neutral genes. Both known oncogenes and tumor-suppressor genes, such as TP53 and PIK3CA, were successfully predicted by using an AI-based precision medicine techniques. For instance,
Browse the full report description of “Artificial Intelligence (AI) in Precision Medicine Market Size, Share & Trends Analysis Report by Component (Hardware and Software & Services), by Treatment (Oncology, Neurology, Cardiology, and Respiratory), and by Application (Drug Discovery & Repurposing, Clinical Research Trial, and Personalized Medicine), Forecast Period (2023-2030)” at https://www.omrglobal.com/industry-reports/ai-in-precision-medicine-market
• In July 2022, IIT Madras, the Indian Institute of Technology Researchers developed the 'PIVOT' technology, utilizing an AI platform to forecast an individual's cancer-causing genes. In the end, this instrument will support the development of personalized cancer treatment regimens. "PIVOT," developed by IIT Madras researchers, aims to pinpoint the genes that are most likely to influence a person's risk of developing cancer.
• In June 2023, The new PrimateAI-3D AI tool from Illumina Inc., a DNA sequencing and array-based technology, correctly predicts disease-causing genetic alterations in patients with previously unheard-of accuracy. Understanding and modifying the genetic code will soon be possible with the development of new tools like high-performance computers for genomic analytics and artificial intelligence that can foresee three-dimensional protein models.
• In May 2023, Google Cloud launched two artificial intelligence-powered technologies that are designed to accelerate drug discovery including the multi-omics suite and the target and lead identification suite. Using the target and lead identification suite, researchers may forecast protein structure and ascertain how amino acids work. A clinical decision support tool, the solution enhances AI-driven precision psychiatry and is expected to improve care for millions of patients globally.
• In October 2022, An AI-driven precision psychiatry solution that predicts treatment effectiveness for depression will be available to doctors through a partnership between Taliaz, an Israeli digital health company dedicated to treating mental health concerns, and Cerba, the specialized clinical pathology reference.
Market Coverage
• The market number available for – 2022-2030
• Base year- 2022
• Forecast period- 2023-2030
• Segment Covered-
o By Component
o By Treatment
o By Application
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- includes Intel Corp., Microsoft Corp., Modernizing Medicine Inc., Sanofi S.A., and others.
Key questions addressed by the report
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Artificial Intelligence (AI) in Precision Medicine Market Report Segment
By Component
By Treatment
By Application
Global Artificial Intelligence (AI) in Precision Medicine Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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