Developing an Internal AI Agent for Target of Interest Discovery
Clarkston Consulting partnered with a life sciences organization on an internal AI agent for Target of Interest discovery. Read a synopsis of the project below or download the full case study.
Download the AI Agent for Target of Interest Discovery Case Study Here
The client was experiencing a transformation in their use of internal research and development data to support target discovery to enable faster, efficient, and collaborative research. The client was seeking a resource to house key target evidence data, including genetic, biologic, and pharmacologic data, and sought out Clarkston’s expertise to develop a roadmap for the tool. Our team set out to create an internal AI agent for Target of Interest discovery.
Through stakeholder interviews with the research and development team, it became apparent that a key challenge was the ability for researchers to access key data sources. The organization relied on ‘tribal knowledge’ to capture previous research and historically evaluated targets, which poses challenges for a rapidly growing organization. Key data sources were often stored in personal network accounts or electronic laboratory notebooks, leading to duplicate research due to limited access to internally generated research data.
Following Clarkston’s assessment of the organization, the team proposed a potential solution to leverage a large language model (LLM) with access to target data. The solution allows users to query the chatbot to quickly identify previously evaluated targets and associated data.
The Clarkston team identified key data sources from the stakeholder interviews, and prioritized data sources based on utility and accessibility. Using this information, the team developed a roadmap to develop the LLM tool, including its proof of concept (POC). The POC included access to a select number of target evaluation presentations that act as a research summary, consolidating years of relevant data. Following initial build, end-users conducted testing to evaluate the efficacy of the tool, resulting in a refined development roadmap.
Download the AI Agent for Target of Interest Discovery case study, and learn more about our R&D Data Strategy Services + AI Consulting by contacting us below.
Contributions from Gary Richey
