Artificial intelligence (AI) and its subsets, like agentic AI, have played significant roles in advancing the life sciences industry. Agentic AI has enabled researchers and scientists to achieve novel insights that were not previously possible or would have required tremendous time and financial investment. The potential of this technology in the life sciences industry is virtually limitless.

In this article, we explore four uses of agentic AI in the life sciences industry. Toward the end, we explain how Narrativa’s agentic AI and related technologies can accelerate the potential of pharmaceutical and biotechnology companies.

1. Drug discovery and development

Agentic AI has made significant advances in drug discovery and development. Traditionally, this area has been time-consuming, labor-intensive, and costly. Researchers often spend extensive time and resources identifying potential treatment candidates through trial and error. With agentic AI, datasets containing potential therapies can be scanned quickly to predict efficacy and safety.

An example is BenevolentAI, whose platform scans large datasets to identify potential therapeutic molecules. Its agentic AI technologies support researchers in identifying new targets, addressing untreated diseases, and assisting in clinical development. The outcomes include higher probability of candidate success, faster development timelines, and reduced costs.

2. Personalized medicine

Personalized medicine involves tailoring treatment to an individual’s specific needs based on genetic makeup. By analyzing patient genetic data, agentic AI identifies the most effective therapeutic approach for each person. This enables physicians to select more effective treatments, minimize side effects, and determine optimal dosages based on genetic profiles. As a result, patients experience improved outcomes and potential cost savings.

For example, Illumina has developed AI-driven software to predict disease-causing genetic alterations. By leveraging agentic AI and related technologies, the company helps guide mutation identification, supporting more targeted and effective treatment strategies.

3. Medical imaging

Agentic AI is not limited to text generation. In medical imaging, it can produce images that simulate real-world diseases, supporting diagnosis and treatment planning. This technology helps train physicians on complex disease presentations and improve diagnostic accuracy.

Companies like Siemens have developed AI-driven image recognition and processing tools that assist radiologists in identifying diseases, determining therapeutic doses, and improving patient outcomes, ultimately contributing to better quality of life.

4. Regulatory submissions automation

Regulatory submissions are documents submitted to authorities such as the Food and Drug Administration (FDA) and the European Medicines Agency (EMA). Documents like clinical study reports (CSRs) can span hundreds or thousands of pages and include patient safety narratives and extensive datasets.

Medical writers and statistical programmers invest substantial time preparing these materials. In many cases, medical writers spend tens or even hundreds of hours drafting documents depending on study size and complexity. This is where agentic AI delivers measurable value.

Narrativa is a pioneer in regulatory submission automation. Our solutions generate clinical documents such as patient narratives in just a few clicks while identifying database errors and inconsistencies that might otherwise be overlooked. We also automate Tables, Listings, and Figures (TLFs), accelerating document production.

Narrativa continues to expand its life sciences solutions to help companies bring medications to market faster without compromising safety or reporting standards.

Our growing portfolio serves industries including life sciences, financial services, marketing, and entertainment. Trusted by organizations such as The Wall Street Journal, Microsoft, and the Leukemia and Lymphoma Society, our solutions improve efficiency while reducing time and costs.

If you have a challenge or opportunity in mind, let’s discuss how we can help solve it.

Uses of agentic AI in the life sciences: part II