DIA 2024 Global Annual Meeting

Component Type: Session

Discover how healthcare and life sciences companies are leveraging clinical AI to interpret vast datasets at an unprecedented pace, finding the right trial participants more efficiently than ever. This session will share data demonstrating that industry-specific clinical AI outperforms general domain LLMs and explore the science behind creating true, physician-like intelligence - representing a leap in generative real-world data applications.

Chair

Mendel.ai

Speaker

Speaker
Karim Galil, MD

Component Type: Session

This year, at DIA, Castor will demonstrate their newest human-in-the loop AI capability, Castor CoPilot. This AI assistant reduces the need for manual data (re-)entry and source data verification, cutting down the time spent on manual, repetitive tasks. This session will be interactive, offering attendees a chance to see Castor CoPilot in action through a live demonstration, emphasizing the practical application and efficiency of Castor's AI solutions in streamlining clinical trials.

Chair

Castor

Speaker

Speaker
Derk Arts, MD, PhD

Speaker
Kristen Harnack

Component Type: Session

Explore the digital overhaul of life sciences, highlighting the power of AI and unstructured data. Discover how e-signatures and AI are transforming research and patient outcomes. Learn to utilize the 90% unstructured data for better compliance and efficiency. Gain insights on AI applications for innovative, efficient decision-making in life sciences, leading to breakthroughs and a new digital era.

Chair

Box, Inc.

Speaker

Speaker
Manu Vohra

Speaker
Kirsten Swingle

Component Type: Session

This presentation will challenge conventional notions of data-centric approaches in clinical trials by emphasizing the importance of human narratives and lived experiences. We will explore how incorporating qualitative insights alongside quantitative data can enrich decision-making processes, promote empathy-driven healthcare solutions, and ensure that diverse voices are heard and valued.

Chair

H1

Speaker

Speaker
Ryan Brown, MPA

Component Type: Session

CoAuthor™ is the ultimate solution for fast-tracking drug development timelines and improving efficiency in the content generation process. Our AI-powered authoring platform combines the capabilities of Structured Content Authoring and Generative Artificial Intelligence to automate repetitive tasks and streamline the content generation process.
With CoAuthor, writers can integrate data directly into documents, ensuring consistency and traceability while using a GenAI assistant to accelerate content generation from complex data inputs. The latest enhancements include the ability to create custom document templates and the application of style guides, providing a seamless integrated experience using MS Word. CoAuthor is the ultimate companion tool that can help you achieve your goals with ease and confidence. Trust in CoAuthor to improve your document quality, increase efficiency, and adhere to industry best practices and lean authoring techniques.

Chair

Certara

Speaker

Speaker
Demetrius Carter, MBA

Speaker
Christopher Bouton, PhD

Component Type: Session

Explore the power of prescriptive analytics in clinical trial planning and feasibility. Learn how Lokavant's innovative approach can prescribe the next best course of action to help refine and optimize study parameters that predict timelines, control costs, and improve quality.

Chair

Lokavant

Speaker

Speaker
Rohit Nambisan

Component Type: Session

In the era of AI-enabled research & development, managing and analyzing large-scale data efficiently is crucial, yet traditional systems often fall short in scalability, performance, and collaboration. Learn how Snowflake enables life sciences organizations to build a data foundation, collaborate with the ecosystem and leverage industry-leading AI models safely and cost-effectively. Demo includes use cases around: Protein Similarity & Function Prediction, Gen-AI Clinical Trial Assistant, & more.

Chair

Snowflake

Speaker

Speaker
Harini Gopalakrishnan, MS

Speaker
Lisa M. Arbogast

Component Type: Session

Capturing data on the patient’s healthcare journey prior to and following participation in a clinical trial builds a more complete understanding of their healthcare journey and increases the overall evidence yield. This presentation explores the value and challenges of tokenization and linkage to diverse secondary healthcare data as well as a case study highlighting the real-world application of this approach.

Chair

UBC

Speaker

Speaker
Irene Cosmatos, MS

Speaker
Jeff Lowry

Component Type: Session

The publication of Large Language Models has shed light on AI more than ever, and opened new opportunities – and risks. It has been challenging the vendor’s ecosystem. It becomes more and more complex to get a systemic view and define a strategic roadmap in this ever-changing environment. In this session, we will address such challenges by proposing and illustrating a methodological framework stemming from research in complex system engineering and design. The goal is to identify and develop AI value potential that will best fit your needs and context, in a frugal approach to avoid AI and tools “overload”.

Chair

Productlife Group

Speaker

Speaker
Gabriele Breda, PhD

Component Type: Session

Drafting an effective IND is critical to your organization’s valuation and success. How would being able to do so in minutes rather than months free up you and your team? Learn how you can focus on other key objectives and activities by automating tedious tasks and leveraging your expertise where it matters most: getting therapies to market.

Chair

Weave AI

Speaker

Speaker
Brandon Rice

Component Type: Session



Chair

HCL Technologies

Component Type: Session

N-Power Medicine partners with oncology clinics to implement a purpose-built platform for accelerated and better-informed drug development. This first-of-its-kind integrated platform provides a single workflow across routine care and clinical trials. By enabling greater physician participation in research and thus deeper access to the full patient population, the platform helps sites achieve more predictable trial production and create unique SOC data that is fit-for-purpose for drug development

Chair

N-Power Medicine

Speaker

Speaker
Mark Lee