Overview

In today’s rapidly evolving digital landscape, Life Science companies are increasingly turning to Artificial Intelligence (AI) and Machine Learning (ML). These technologies can revolutionize both the development and manufacturing of new medicines, treatments, and devices, and improve operational efficiency. To use AI effectively, you need to develop a strategy to leverage AI and ML. This requires careful consideration of several key factors. HERAX AI offerings focus on an integrated approach based on our methodology securing everything is considered when starting and using AI.

Key activities

Strategy & Planning

• Identify use cases and perform gap analysis on existing clinical processes to assess where AI/ML tools can generate the most value.
• Develop strategy for how to utilize AI/ML in clinical trials.
• Develop a roadmap for implementing AI/ML capabilities.
• Define guidelines on how to navigate the regulatory requirements.
• Assess data availability and quality.

Select Vendor

• Conduct market scan to identify which AI/ML vendors would be relevant.
• Submit RfI and RfP proposal.
• Organize and execute boot camps and demos.
• Select vendor and negotiate contract

Planning & Implementation

• Implementation Planning with vendor.
• Leverage AI frameworks and tools such as machine learning, LLM and NLP.
• Implementation and roll-out including SOP development, training, change management and validation.
• Ensure data security and ethical use are considered.
• Regularly assess the functionality, and benefits and improve on the solution.

AI/ML technologies continue to evolve and offer a growing number of applications that have the potential to substitute or optimize workflows across the entire drug development life cycle (discovery, pre-clinical, clinical planning, clinical execution, post-clinical), to reduce the time to market for new drugs. Use cases are among others, assistance in site selection, medical document generation, improvement of study designs, and safety reporting.

HERAX has experience with multiple AI vendors within R&D and can in collaboration with several major partners offer a free 2–5 day bootcamp to identify use cases and create a small solution as the decision foundation for moving into a real solution.