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AI-Driven Drug Discovery

Publisher STIMAnalytics
Published Apr 12, 2026
Length 100 Pages
SKU # Inno21117621

Description

This report is the first of a series of patent landscape reports on Using Artificial Intelligence in Biotechnology by STIMAnalytics. It presents the results of patent analyses in the AI in Biotechnology domain, which were performed by STIMAnalytics AI-Powered service in collaboration with experts in patent knowledge and subject-matter. The aim of this report is to provide a summary of the main patent trends in AI in Biotechnology production technology and related areas.

The number of inventions in this field includes the analysis of 1087 patents of various companies over the period from 2002 to 2026. The figure on the next page shows the number of International Patent Families in AI in Biotechnology sector and in all technical fields, as a function of the year when the inventions were first disclosed to the public.Patent information is a valuable source of technical information on patented inventions that reflect the commercial expectations of the applicants. Patent information often contains technical and other information that is not available from any other source. This report can be useful as an information source in the AI in Biotechnology area. The report's methodology relies on AI-Powered service developed by STIMAnalytics. This app uses advanced algorithms and models to meet the needs of various stakeholders (Inc. R&D managers, product managers, technologist, researchers and academics) in established or emerging technical fields. The number of inventions in AI in Biotechnology area has grown significantly in recent years.

Table of Contents

100 Pages
Key Findings
Executive Summary
1. Introduction
2. Patent Landscape Overview
2.1. Patent Family Analysis
2.2. Patent-Market Coverage
2.3. Geographical jurisdiction
Market and Competitor Analysis
3.1. Market at a Glance
3.2. Market Share of Main Players
3.3. Main Products in AI-Driven Drug Discovery
3.4. Top Applicants
3.5. Market Coverage of Top Applicants
3.6. Top Owners
3.7. Highly-Cited Applicants
3.8. Collaboration
3.8.1. Top Ten Applicants’ collaborations
3.8.2. The strongest cooperation networks
3.9 Top applicant activity
3.10 Pioneer companies in the last 5 years
3.11 Top applicant clustering
3.12 Pending patents
Technology Analysis
4.1. Top Technologies
4.1.1. Top Technologies by Class
4.1.2. Top Technologies by Sub-Class
4.1.3. Top Technologies by Main-Group
4.1.4. Top Technologies by Sub-Group
4.1.5. Top Technologies and Main Trends
4.2. Five Recent dominant technologies
4.3. Key Patents
4.4. The main themes of patents
4.5. Technology clustering
4.6. Top inventors
Key Players’ Patent Profile
5.1. California University
5.1.1. California University Overview
5.1.2. Patent family analysis
5.1.3. Key Processes and Technologies
5.1.4. Top Technologies
5.1.5. Collaboration
5.1.6. Merge and Acquisitions
5.1.7. Key patents
5.1.8. Topic modeling
5.1.9. Patents clustering
5.2. Peptilogics Inc
5.2.1. Peptilogics Inc Overview
5.2.2. Patent family analysis
5.2.3. Key Processes and Technologies
5.2.4. Top Technologies
5.2.5. Merge and Acquisitions
5.2.6. Key patents
5.2.7. Topic modeling
5.2.8. Patents clustering
5.3. Genentech Inc
5.3.1. Genentech Inc Overview
5.3.2. Patent family analysis
5.3.3. Key Processes and Technologies
5.3.4. Top Technologies
5.3.5. Collaboration
5.3.6. Merge and Acquisitions
5.3.7. Key patents
5.3.8. Topic modeling
5.3.9. Patents clustering
5.4. Massachusetts Institute of Technology
5.4.1. Massachusetts Institute of Technology Overview
5.4.2. Patent family analysis
5.4.3. Key Processes and Technologies
5.4.4. Top Technologies
5.4.5. Collaboration
5.4.6. Merge and Acquisitions
5.4.7. Key patents
5.4.8. Topic modeling
5.4.9. Patents clustering
5.5. Harvard College
5.5.2. Patent family analysis
5.5.3. Key Processes and Technologies
5.5.4. Top Technologies
5.5.5. Collaboration
5.5.6. Merge and Acquisitions
5.5.7. Key patents
5.5.8. Topic modeling
5.5.9. Patents clustering
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