USD
GBP 
CNY 
EUR 
INR 
JPY 
MYR 
ZAR 
KRW 
THB 
Leveraging the Interplay between Leading Edge Computing and Digital Imaging Solutions toward Precision Medicine
22-Apr-2020
Global
Technology Research
D94E-01-00-00-00
HC03284-GL-TR_24334
The astonishing progress of combinatorial chemistry, the development of high throughput screening techniques, parallel computing, and quantum mechanics modeling approaches, among many other cutting-edge innovations, has derived in a Big Data explosion.
In parallel, the advent of structural biology, the omics revolution, and the extraordinary progress of computational science and communication technologies, have enables to face the most concerning challenges associated with the Big Data revolution: complexity, high scaling, speedy growth, source diversity, structure level, and uncertainty.
Artificial intelligence (AI)-driven platforms hold the promise to smartly embody and reshape the most remarkable advances simultaneously reaching their apogee in the present era to energize the medical diagnostics industry with novel, smart approaches to digital pathology.
The real potential of artificial intelligence (AI) to revolutionize digital pathology is just beginning to be noticed.
AI-driven technology capabilities range from the acceleration of the computational analysis of atomic and molecular properties in the tissue, the bases of de novo diagnostics strategies, and drug response comparison, to the optimization of companion diagnostics methodologies and post-treatment surveillance policies.
1.1 Research Focus
1.2 Research Scope
1.3 Analysis Framework
1.4 Research Methodology
2.1 Role of Artificial Intelligence in Digital Pathology
2.2 AI-based Tools Driving Medical Diagnostics
2.3 Key Aspects to Consider for Further Evolution
2.4 Key Definitions and Landscape Notes
2.5 Current Workflow and Future Possibilities
2.6 Breakdown of the Main Technologies in Digital Pathology
3.1 Major Concepts in AI-driven Digital Pathology
3.2 Principal Aspects of AI-based Analysis Algorithms
3.3 Efficient WSI Integration for Improved Workflow
3.4 Strategic Technology Integration
3.5 Phased Workflow Implementation
3.6 AI-driven Digital Pathology Main Stakeholders
4.1 IP Global Analysis by Assignee
4.2 IP Analysis by Academic Institution and Region
4.3 Year-wise Global IP Analysis
4.4 Repercussions in Businesses and Processes
4.5 Strategic Imperatives for Future Work
4.6 AI-driven Digital Pathology Cluster of Services
4.7 AI-driven Digital Pathology Vendor Ecosystem
4.8 Business Model Stratification and Assessment
4.9 Big Data as Enabler of AI-driven Digital Pathology
4.10 Datasets Generators for Regulatory Validation
4.11 Mainstream Clinical Applications in Focus
5.1 Healthcare Ecosystem in 2025
5.2 AI-driven Digital Pathology Solutions Mapping
5.3 Technologies Coming in the Next Five Years
5.4 Roadmap for AI-driven Digital Pathology
6.1 Global Digital Pathology Market Forecast
6.2 Global Digital Pathology Market Forecast by Product
6.3 Global Digital Pathology Market Forecast by Application
6.4 Global Digital Pathology Market Forecast by End User
6.5 Global Digital Pathology Market Forecast by Region
7.1 Private Equity Opportunities in Digital Pathology
7.2 Sustained Commitment to AI/DP Supporting M&As
7.3 Aerospace & Defense Firms Investing in AI/DP
7.4 Aerospace & Defense Principal M&A Transactions
7.5 Government IT Systems Small Business Innovation
8.1 Aiforia
8.2 ContextVision
8.3 Deciphex
8.4 IndicaLabs
8.5 Barco
8.6 Inspirata
8.7 Leica Biosystems
8.8 Flagship Biosciences
8.9 Regional Focus – Latin America
9.1 Industry Convergence in Healthcare Transformation
9.2 Comparison of Major Deals – Up to $34 Billion
9.3 Comparison of Major Deals – Up to $2 Billion
9.4 Comparison of Major Deals – Up to $750 Million
9.5 Comparison of Major Deals – Up to $290 Million
9.6 Comparison of Major Deals – Up to $195 Million
9.7 Comparison of Major Deals – Up to $156 Million
9.8 Comparison of Major Deals – Up to $105 Million
9.9 Comparison of Major Deals – Up to $75 Million
9.10 Comparison of Major Deals – Up to $60 Million
9.11 Comparison of Major Deals – Up to $50 Million
9.12 Comparison of Major Deals – Up to $38 Million
9.13 Comparison of Major Deals – Up to $30 Million
9.14 Comparison of Major Deals – Up to $22 Million
9.15 Comparison of Major Deals – Up to $12 Million
9.16 Comparison of Major Deals – Up to $10 Million
9.17 Comparison of Major Deals – Up to $5 Million
9.18 Comparison of Major Deals – Up to $3 Million
9.19 Comparison of Major Deals – Up to $1 Million
9.20 Comparison of Major Deals – Other Agreements
9.21 US Vendors in AI-drive Healthcare Systems
10.1 Key Industry Participants
10.2 Key Industry Integrators
Legal Disclaimer
Speak directly with our analytics experts for tailored recommendations.
Recent related Healthcare research
07 Sep 2026 | Global | Technology Research
Synthetic Antibodies and AI-Optimized Immunotherapies
Artificial intelligence is becoming increasingly relevant to antibody discovery and immunotherapy development, supporting target identification, de novo antibody design, antibody engineering, clinical intelligence, and bioprocessing. Advances in generative AI, protein language models, diffusion mode...
28 Aug 2026 | Global | Technology Research
Innovations and Growth Opportunities in Advanced Medical Devices, Artificial Intelligence Solutions, Digital Solutions, and Medical Imaging Solutions
The latest issue of Advanced MedTech Technology Opportunity Engine (TOE) spotlights a diverse slate of innovations across advanced medical devices, artificial intelligence solutions, digital solutions, and medical imaging solutions.The issue features advanced medical devices such as active bioelectr...
27 Aug 2026 | Global | Frost Radar
Frost Radar: AI-Powered Molecular Diagnostics, 2026
AI-powered molecular diagnostics is an emerging and moderately fragmented industry that includes molecular diagnostics companies, precision medicine platforms, sequencing specialists, AI-driven analytics providers, and disease-focused biotechnology companies. No single company has dominated, present...
26 Aug 2026 | Global | Technology Research
Growth Opportunities and Advancements in Acute and Chronic Wound Care
A wound is any disruption in the normal structure and function of the skin or underlying tissues. It can result from physical injury, surgery, or underlying medical conditions. Wounds are broadly classified into two categories: acute wounds and chronic wounds. Acute wounds typically heal through the...
26 Aug 2026 | Global | Frost Radar
Frost Radar™: Healthcare Infrastructure Cybersecurity in the United States, 2026
Healthcare organizations are expanding their digital environments across cloud infrastructure, connected medical devices, applications, identities, operational technology, and distributed care settings, creating a broader and increasingly interconnected attack surface. Cybersecurity is, therefore, e...
Purchase includes:
- Report download
- Growth Dialog™ with our experts
Growth Dialog™
A tailored session with you where we identify the:- Strategic Imperatives
- Growth Opportunities
- Best Practices
- Companies to Action
Impacting your company's future growth potential.
| Deliverable Type | Technology Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Vandana Iyer |
| Industries | Healthcare |
| WIP Number | D94E-01-00-00-00 |
| Is Prebook | No |
Fuelling Digital Pathology Advances Using Artificial Intelligence
$4,950.00
Special Price $3,712.50 save 25 %