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AI Use Case Repository

The AI Use Case Repository holds 1,663 real-world use cases in biotech and pharma that can be filtered by company stage, process, and outcome.

0
AI use cases on record
0
Companies
0
Therapeutic areas

AI adoption in biotech and pharma

1,663 AI use cases grouped by the process they augment or automate

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Process
Use cases
Companies
Discovery & Preclinical Research
627 use cases
127 companies
Therapeutic Design/Lead Optimization
357
99
Target Discovery/Selection
165
79
ADMET Prediction
122
44
Preclinical Testing
88
41
IND Preparation
1
1
Clinical Development
504 use cases
70 companies
Real-World Data Analysis
282
51
Clinical Trial Design
111
42
Trial Data Management
55
30
Safety Monitoring/Pharmacovigilance
41
25
Patient Recruitment
26
22
Regulatory Submissions
18
14
Clinical Operations/Site Management
14
10
Post-Market Analysis
2
2
Manufacturing & Supply
145 use cases
42 companies
Manufacturing/CMC
118
37
Laboratory Operations/Instrumentation
33
20
Supply Chain/Forecasting
8
6
EHS/Sustainability
2
2
Commercialization
72 use cases
31 companies
Medical Affairs
31
20
Patient Services/Adherence
15
14
Market Access/Pricing
11
7
Commercial Operations/Field Sales
9
8
Marketing/Omnichannel Engagement
7
4
Commercial Analytics
6
6
Data & Imaging
495 use cases
91 companies
Imaging/Biomarker Analysis
345
63
Bioinformatics/Data Management
169
66
Medical Device Design/Engineering
3
3
Corporate Functions
2 use cases
2 companies
Finance/Legal/Strategy
2
2
Corporate Compliance/Ethics
0
0
HR/People Management
0
0
Other
39
20

1,663 use cases from pharma and biotech companies. A use case can relate to more than one process in more than one domain, so process counts add up to more than the domain count, and domain counts add up to more than the overall count.
Source: ResolveNext AI Use Case Repository, Q4 2026.

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Sample use case
Company name withheld
Commercial-Stage Company
AI-enabled voice-to-text transcription for Medical Affairs documentation
Researchers at contributed to a study evaluating whether AI-enabled voice-to-text transcription improved Medical Affairs documentation compared with manual CRM entry. The system relies on large language models and natural language processing to ease the burden of documenting scientific conversations. A randomized crossover trial enrolled 27 medical science liaisons across six Asia-Pacific affiliates, with most using non-English languages. Participants alternated between using Microsoft Copilot for voice-to-text entry and their existing manual process over four-week periods.
Medical Affairs
Published 6 Sep 2026

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