Artificial Intelligence for Genomics and Personalised Medicine Market 2021-28|| IBM, Microsoft, NVIDIA Corporation, Deep Genomics, BenevolentAI, Fabric Genomics, Verge Genomics, Freenome Holdings, MolecularMatch Inc

An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes. Scientists hope that the new method can eventually be applied within precision medicine and individualized treatment.

Similar to diagnosing a disease using a genomic basis, AI can help identify which genes have been affected by harmful mutations so that they can be targeted in gene therapy. DNA repair after editing is another area of potential for AI usage.

Precision oncology, AI can be used to develop a drug combination centered on a patient's own biopsy and adopt N-of-1 medication recommendations. Across multiple specializations, especially in radiology AI-based algorithms have already shown improvement in diagnostic accuracy and performance.

Machine learning is perhaps most useful for the interpretation of large genomic data sets and has been used to annotate a wide variety of genomic sequence elements. For example, machine learning methods can be used to learn how to recognize the locations of transcription start sites (TSSs) in a genome sequence.

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Major Key Players of the Market:
IBM (US), Microsoft (US), NVIDIA Corporation (US), Deep Genomics (Canada), BenevolentAI (UK), Fabric Genomics Inc. (US), Verge Genomics (US), Freenome Holdings, Inc. (US), MolecularMatch Inc. (US), Cambridge Cancer Genomics (UK), SOPHiA GENETICS (US), Data4Cure Inc. (US), PrecisionLife Ltd (UK), Genoox Ltd. (US), Lifebit (UK), Diploid (Belgium), FDNA Inc. (US), DNAnexus Inc. (US), Empiric Logic (Ireland), and Engine Biosciences Pte. Ltd. (US).

Artificial Intelligence for Genomics and Personalised Medicine Market Study guarantees you to remain/stay advised higher than your competition. With Structured tables and figures examining the Artificial Intelligence for Genomics and Personalised Medicine, the research document provides you a leading product, submarkets, revenue size and forecast to 2028. Comparatively is also classifies emerging as well as leaders in the industry.

This study also covers company profiling, specifications and product picture, sales, market share and contact information of various regional, international and local vendors of Global Artificial Intelligence for Genomics and Personalised Medicine Market. The market opposition is frequently developing greater with the rise in scientific innovation and M&A activities in the industry. Additionally, many local and regional vendors are offering specific application products for varied end-users. The new merchant applicants in the market are finding it hard to compete with the international vendors based on reliability, quality and modernism in technology.

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Market segmentation:
By Technology
• Machine Learning
• Deep Learning
• Supervised Learning
• Reinforcement Learning
• Unsupervised Learning
• Other Technologies
By Functionality
• Genome Sequencing
• Gene Editing
• Clinical Workflows
• Predictive Genetic Testing & Preventive Medicine
By Application
• Diagnostics
• Drug Discovery & Development
• Precision Medicine
• Agriculture & animal Research
• Other Applications
By end user
• Pharmaceutical & Biotech Companies
• Healthcare Providers
• Research Centers, Academic Institutes, &
• Government Organizations
• Other End Users
By Region
• North America
• Europe
• Asia-Pacific
• Middle East and Africa
• Rest of the world

What to Expect from this Report on Artificial Intelligence for Genomics and Personalised Medicine Market?
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Conclusions of the Global Artificial Intelligence for Genomics and Personalised Medicine Market Professional Survey Report 2021 comprises:- Methodology, Analyst Introduction and Statistics Supply. In the end, the analysis comprises Artificial Intelligence for Genomics and Personalised Medicine SWOT analysis, investment partialness investigation, investment include research and development tendency investigation.

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