Generative AI in Clinical Research: From Data to Patient Cohorts

Generative AI is rapidly transforming the landscape of clinical research, offering unprecedented opportunities to streamline processes, enhance efficiency and unlock valuable insights from vast amounts of medical data.

This webinar explores the cutting-edge applications of generative AI in accelerating clinical research, with a specific focus on three critical areas: clinical data abstraction, chart review and building patient cohorts.

As the volume and complexity of clinical data continue to grow, researchers face increasing challenges in extracting meaningful information efficiently. Generative AI technologies are emerging as powerful tools to address these challenges, revolutionizing how data analysis and interpretation is approached in clinical settings.

In this webinar, the speakers will delve into the transformative potential of generative AI across key stages of the clinical research process:

Clinical Data Abstraction:

• Automating the extraction of relevant clinical information from diverse sources
• Enhancing accuracy and consistency in data collection
• Reducing time and resources required for manual data entry

Chart Review:

• Leveraging natural language processing to analyze unstructured medical records
• Identifying patterns and extracting insights from large volumes of patient data
• Improving the speed and precision of chart review processes

Building Patient Cohorts:

• Utilizing AI to identify and group patients based on specific criteria
• Enhancing the accuracy and efficiency of cohort selection
• Enabling more targeted and personalized clinical research studies

The expert speakers will showcase real-world examples and case studies demonstrating how generative AI is being applied in these areas, highlighting both the opportunities and challenges faced by researchers and healthcare professionals. They will explore the latest advancements in AI technologies, including large language models and machine learning algorithms, and discuss their practical implications for clinical research. The attendees will gain insights into:

• The current state of generative AI in clinical research
• Best practices for implementing AI-driven solutions in research workflows
• Ethical considerations and data privacy concerns
• Future trends and potential impacts on the field

Register for this webinar to learn how generative AI is revolutionizing clinical research from streamlining data abstraction to building more precise patient cohorts. Don’t miss this opportunity to stay at the forefront of technological advancements in healthcare and research.

Speakers

Jose Mena, Sr Director of Bioinformatics, Mendel AI

Jose Mena is a seasoned expert in data and bioinformatics, currently serving as Sr. Director of Data and Bioinformatics at Mendel.ai since January 2024. He has a rich history of advancing clinical AI technologies, focusing on building systems that think like physician-scientists. Prior to Mendel.ai, he spent nearly six years at ASCO’s CancerLinQ®, where he rose to Director of Data and Bioinformatics. With a strong foundation in data analysis, management and reporting, Jose holds a degree in Molecular Biology with a focus on Quantitative and Computational Biology from Princeton University.

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Gokhul Srinivasan, Sr Partner Solution Architect, Amazon Web Services

Gokhul Srinivasan is a Sr. Partner Solution Architect at AWS with over 19 years of experience in IT. He specializes in cloud adoption, service transformation, container orchestration and the implementation of machine learning (ML) and generative AI solutions. Prior to AWS, he held leadership roles at Cognizant, serving as Principal Architect and Senior Enterprise Architect, where he led digital transformation initiatives across health plans. Gokhul’s technical expertise is complemented by strong communication skills and certifications such as TOGAF 9 and AWS-Certified Solution Architect.

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