25 GenAI Pharma Use Cases That Are Live

In the rapidly evolving pharmaceutical landscape, technology isn’t the solution—it's a powerful catalyst that accelerates and galvanizes problem-solving. Generative AI (Gen AI) offers transformative opportunities across various domains. Here are 25 real use cases in pharma where Gen AI is making a significant impact

Literature Review: Identifying promising drug candidates and research directions

Virtual Screening: Identifying potential drug candidates before synthesis and lab screening

Drug Design: Predicting properties of new drug candidates.

Drug Repurposing: Identifying potential new applications for existing drugs

Predictive Toxicology: Analyzing data to predict drug toxicity

Information Extraction: Isolating key information from clinical trial documents.

Protocol Development: Assisting with writing and summarization needed for studies.

Safety Monitoring: Identifying potential safety concerns and mitigation steps.

Regulatory Submissions: Preparing necessary documents for regulatory compliance.

Clinical Trial Summarization: Extracting key points for biostatisticians.

Process Development: Predicting properties of new compounds and potential manufacturing challenges.

Technical Documentation: Assisting in the preparation of technical documents.

Quality Control: Summarizing non-conformance for determining common causes of manufacturing deviations.

Procurement Intelligence: Evaluating prior vendor performance, costs, and impacts to inform purchases.

Supply Risk Management: Evaluating and planning for external supply risks.

Medical Information Review: Reviewing medical information for accuracy and insights.

Patient Call Center Assistance: Enhancing responses and support for patient inquiries.

Market Research: Summarizing market trends and insights for strategic planning.

Competitive Intelligence: Analyzing competitor activities and market positioning.

Sales Force Training: Developing training materials and strategies for sales teams.

Recruitment: Streamlining the recruitment process and identifying top candidates.

Compliance: Ensuring adherence to regulatory standards and requirements.

Risk Management: Assessing and mitigating risks across various processes.

Auditing: Conducting thorough audits to ensure operational integrity.

Co-Pilots: Assisting in drafting emails, presentations, and other communications.

Sources :AWS, Pharma Med, IJME