Generative AI has made significant advancements in various industries, streamlining workflows, improving efficiency, and reducing time to market. Now, the life sciences industry is recognizing the potential of generative AI to transform its operations. Despite transitioning from traditional discovery-based drug development to market-based drug development, the industry still faces challenges such as long R&D cycles and labor-intensive tasks. To overcome these obstacles, life sciences organizations are exploring AI, machine learning, and generative AI technologies, leveraging the digital data explosion and the shift towards digital transformation. With generative AI, life sciences organizations can automate processes, reduce costs, and accelerate drug development.
Some potential use cases for generative AI in the life sciences industry include:
- AI for Medical Legal Review (MLR): Utilizing generative AI to process digital content at scale, simplifying the MLR process for marketing teams.
- AI for generating Clinical Study reports (CSR): Generating “first attempt” reports using generative AI to save time and effort for human teams.
- Adverse Event (AE) Narrative generation: Leveraging generative AI to reduce costs, increase scalability, and improve the quality and consistency of generated reports.
- Accelerating mRNA medicines design: Partnering with AI technology to design mRNA medicines with optimal safety and performance.
These are just a few examples of how generative AI can revolutionize the life sciences industry, but its applications extend to other areas such as summarization, conversational knowledge, content creation, code creation, research, and development, commercial activities, human resources, manufacturing, and supply chain management.
IBM Consulting, in partnership with AWS, is leveraging Large Language Models (LLMs) on its generative AI-Automation platform to create industry-aware, life sciences domain-trained foundation models. These models can generate first drafts of narrative documents, assisting human teams in their work. IBM Consulting has the expertise, experience, and resources to support clients on their journey towards leveraging generative AI, offering services such as strategy development, hackathons, jumpstart programs, co-creation projects, bespoke model development, and governance.
Frequently Asked Questions (FAQ)
What is generative AI?
Generative AI refers to the application of artificial intelligence techniques that involve the creation and generation of new content or data. It uses machine learning algorithms to understand patterns and generate new outputs such as text, images, or even code.
How can generative AI benefit the life sciences industry?
Generative AI can benefit the life sciences industry by automating time- and labor-intensive tasks, accelerating drug development, reducing costs, and improving the scalability and quality of generated reports. It can also free up human teams to focus on more valuable tasks and increase overall efficiency and productivity.
What are some use cases of generative AI in the life sciences industry?
Some use cases of generative AI in the life sciences industry include AI for Medical Legal Review, generating Clinical Study reports, adverse event narrative generation, and accelerating mRNA medicines design. Additionally, generative AI can be used for summarization, conversational knowledge, content creation, code creation, research and development, commercial activities, human resources, manufacturing, and supply chain management.
How can IBM Consulting support clients in leveraging generative AI?
IBM Consulting offers various services to support clients in leveraging generative AI, including strategy development, hackathons, jumpstart programs, co-creation projects, bespoke model development, and governance. IBM Consulting has the expertise, experience, and resources to guide clients at different stages of their generative AI journey and help them realize value from this technology.
Why is IBM Consulting a trusted partner for generative AI on AWS?
IBM Consulting has a proven track record in driving value through AI, machine learning, and automation solutions across industries. As an AWS Premier Consulting Partner, IBM Consulting has a large number of AWS certified professionals and extensive experience in deploying foundation models. IBM Consulting is committed to responsible and ethical AI practices, ensuring transparency, fairness, robustness, explainability, and privacy in its AI solutions.
How can generative AI address the challenges in the life sciences industry?
Generative AI can address the challenges in the life sciences industry by automating manual processes, reducing costs, improving efficiency, and accelerating drug development. By leveraging generative AI technologies, life sciences organizations can optimize workflows, streamline operations, and focus on high-value tasks, ultimately improving the overall productivity and effectiveness of their operations.