Table of Content

Table of Contents

Strategic Imperatives
The Strategic Imperative 8™
The Strategic Imperative 8™ (continued)
The Impact of the Top Three Strategic Imperatives on Data Science in Drug Discovery Industry
ABOUT THE GROWTH PIPELINE ENGINE™
Growth Opportunities Fuel the Growth Pipeline Engine™
Research Methodology
Research Methodology (continued)

1.0 Need for AI/Data Science in Drug Discovery
1.1 Role of Big Data and AI in Drug Discovery
1.2 Advantages of Data Science Augmentation in Drug Discovery
1.3 Improvement in KPIs using AI/Big Data in Drug Discovery
1.4 Areas of Focus Using AI and Big Data in Drug Discovery
1.5 Challenges in Leveraging Big Data and AI In Drug Discovery

2.0 Data Sciences in Drug Discovery-Technology Landscape &Trends
2.1 Data Science- Technology Architecture in Drug Discovery
2.2 Applications of AI In Drug Discovery
2.3 Emerging Technology Trends in Data Science Technologies in Drug Discovery
2.4 AI In Drug Discovery – Tech Convergence Areas to Explore

3.0 Industry Landscape & Stakeholder Ecosystem
3.1 Evolving Landscape with Rise in Industry Partnerships and Investments
3.2 Ecosystem of Pharma and AI Companies for Drug Discovery
3.3 Key Technology Management Strategies
3.4 Highlights of AI Enabled Drug Discovery Partnerships
3.5 Highlights of Big Pharma Engagement & Investments in AI Drug Discovery
3.6 Scaling up Long Term Research Partnerships and JVs
3.7 Strengthen Market Position with Acquisitions and Licensing
3.8 Accelerate Large Scale Data Sharing via Consortia

4.0 Companies to Action
4.1 Atomwise
4.2 Exscientia
4.3 Insilico Medicine
4.4 BERG AI
4.5 Lantern Pharma
4.6 Cyclica
4.7 Recursion Pharma
4.8 nference

5.0 Impact of AI Enabled Drug Discovery by Disease Applications
5.1 Disease Focus Areas for AI enabled Drug Discovery
5.2 Applications of AI and Big Data in Oncology Precision Medicine
5.3 Strategic Imperatives for AI Enabled Oncology Precision Medicine
5.4 Applications in Neurology/Neurodegenerative Disorders
5.5 Strategic Imperatives for AI Enabled Drug Discovery for Neurological/Neurodegenerative Diseases
5.6 Applications in Infectious Diseases/COVID-19 Drug Discovery and Repurposing
5.7 Strategic Imperatives for AI Enabled Drug Discovery for Infectious Diseases/SARS-CoV-2
5.8 Accelerating COVID-19 Drug Discovery with AI and Data Science
5.9 Applications in Orphan Diseases

6.0 Growth opportunities
6.1 Growth Opportunity 1: Drug “Repurposing” Using AI and Big Data
6.1 Growth Opportunity 1: Drug “Repurposing” Using AI and Big Data (continued)
6.2 Growth Opportunity 2: Lead Optimization Using AI – Drug Property and Bioactivity Prediction
6.3 Growth opportunity 2: Use of AI for Drug Property and Bioactivity Prediction Could Potentially Reduce Number of Failures in Clinical Development
6.4 Growth opportunity 3: Identify novel candidates and De novo drug synthesis using AI
6.4 Growth Opportunity 3: Identify Novel Candidates and De Novo Drug Design Using AI (continued)

7.0 IP Analysis
7.1 IP Overview of AI Enabled Drug Discovery
7.2 Top Pharmaceutical/Biotech Patent Holders

8.0 Appendix
8.1 Types of AI algorithms
9.0 Key Contacts
9.1 Key Industry Contacts
9.1 Key Industry Contacts (continued)

10.1 Next steps
10.1 YOUR NEXT STEPS
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