This has prompted industry stakeholders to explore the applications of deep learning-based technologies, specifically across drug discovery and diagnosis. In addition, recent investments made in this domain are likely to offer lucrative opportunities to companies offering deep learning-based technologies / solutions within the healthcare industry.
The financial opportunity associated with cell therapy manufacturing market has been analyzed across the following segments:
Therapeutic Area
Oncological Disorders
Infectious Diseases
Neurological Disorders
Immunological Disorders
Endocrine Disorders
Cardiovascular Disorders
Respiratory Disorders
Ophthalmic Disorders
Musculoskeletal Disorders
Inflammatory Disorders
Other Disorders
Key Geographical Regions
North America
Europe
Asia Pacific
Rest of the World
The Deep Learning in Drug Discovery and Deep Learning in Diagnostics Market (2nd Edition), 2023-2035 report features the following companies, which we identified to be key players in this domain:
Aegicare
Aiforia Technologies
Ardigen
Berg
Huawei
Merative
Nference
NVIDIA
Owkin
Phenomic AI
Pixel AI
Table of Contents
1. PREFACE
2. EXECUTIVE SUMMARY
3. INTRODUCTION
4. MARKET OVERVIEW: DEEP LEARNING IN DRUG DISCOVERY
5. MARKET OVERVIEW: DEEP LEARNING IN DIAGNOSTICS
6. COMPANY PROFILES
7. PORTERS FIVE FORCES ANALYSIS
8. CLINICAL TRIAL ANALYSIS
9. FUNDING AND INVESTMENT ANALYSIS
10. START-UP HEALTH INDEXING
11. COMPANY VALUATION ANALYSIS
12. MARKET SIZING AND OPPORTUNITY ANALYSIS: DEEP LEARNING IN DRUG DISCOVERY
13. MARKET SIZING AND OPPORTUNITY ANALYSIS: DEEP LEARNING IN DIAGNOSTICS
14. DEEP LEARNING IN HEALTHCARE: EXPERT INSIGHTS
15. CONCLUDING REMARKS
16. INTERVIEW TRANSCRIPTS
17. APPENDIX 1: TABULATED DATA
18. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS
To view more details on this report, click on the link
https://www.rootsanalysis.com/reports/view_document/deep-learning-in-drug-discovery-market/156.html
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