NORTH AMERICA
LIFE SCIENCES
DATA FORUM

Zohar Nissare-Houssen, Principal Partner Sales Engineer, Snowflake

Generative AI and Large Language Models (LLMs) play a pivotal role in life sciences, where contextual understanding of complex data such as protein sequences, chemical structures, and medical vocabularies is essential. Snowflake has introduced two innovative services, Snowflake Cortex and Snowpark Container, designed to support organizations in their journey with LLMs, whether through a Retrieval Augmented Generation (RAG) approach or fine-tuning their own proprietary models.

Join us in this session as we delve into the capabilities of Gen AI and explore how it can drive transformative business use cases, focusing on two tailored life sciences examples built exclusively on the Snowflake platform. We will demystify:

• RAG-Based Clinical Protocol Summarization: Learn how Mistral7b, powered by Snowflake Cortex, facilitates the efficient summarization of clinical protocols, enhancing decision-making and workflow efficiency.
• Call Audio Transcription and Sentiment Analysis: Discover how Whisper, hosted on Container Services, enables accurate call audio transcription and sentiment extraction, providing valuable insights for user engagement and satisfaction.

Gain insights into the power of generative AI within the life sciences domain and how Snowflake’s cutting-edge services can amplify your organization’s capabilities and drive innovation.

Matt Dubay, Director Client Services, Healthcare & Life Sciences, Hakkoda

Advancements in data, analytics, informatics, and machine intelligence have re-shaped Life Sciences over the last decade; in parallel similar changes have been happening and accelerating across all parts of the healthcare industry.At the forefront of new science, and at the messy intersection of numerous stakeholders, sit the provider and their patients needing new and more options for oncology treatment – but with increasingly limited capacity and already understaffed coordinators, how do we seize the opportunity?We will discuss our patient/provider-centric approach, objective alignment, product design, and implementation strategy to build maturing increments of the “Clinical Trials Virtual Waiting Room”, where patients and providers can be proactively ready for the right opportunities for advanced care.

Matthew Carroll, CEO, Immuta

Chaitanya Geddam, Head of Global Data & AI, Accenture

Gayathri Balachandra, Commercial Data Lead & Senior Data Architect Architect, Boston Scientific

Avishek Roy, Lead for Commercial Solutions & Fellow Architect, Boston Scientific

Kenzie Alexander, Tech Partnerships, Datavant

Datavant unlocks interoperable patient data for both research and commercial use cases. Datavant has created the largest real world data ecosystem and developed tools on Snowflake to make it easy to discover and evaluate datasets for Real World Data needs. However, creating the longitudinal view requires that we protect patient privacy. Datavant can support LS customers with both expert determination and future privacy enhancing technologies like Data Clean Rooms.

Venu Mallarapu, VP of Global Strategy, eClinical

Clinical research has grown in complexity as novel approaches increase the volume and variety of data generated. This requires modern approaches to aggregating, analyzing, managing, and governing data. To gain the real-time data insights critical for scientific and operational decision-making, life sciences companies must reshape their approach to architecting and designing tech platforms. eClinical Solutions and Snowflake have established a strategic partnership to transform clinical research by enabling next-generation clinical data analytics architectures and platforms. eClinical Solutions’ elluminate® data & analytics platform and biometrics services experts help biopharma researchers manage data complexity faster. Everest Group recognized eClinical Solutions as a leader in the Life Sciences Clinical Data and Analytics Platforms PEAK Matrix® Assessment 2023. This session will share how the Snowflake platform is being leveraged by eClinical Solutions as part of their elluminate Clinical Data Cloud roadmap to address industry challenges and drive the innovation needed to bring treatments to patients faster. Discover how the optimal modern data architecture enables accurate and timely data insights for better decision-making – so leaders in life sciences can reduce cycle times, improve productivity, easily scale, and develop tomorrow’s breakthroughs.

Karim Galil, CEO, Mendel

The integration of Large Language Models (LLMs) into healthcare data analytics has encountered substantial challenges, notably in accurately deciphering the complex lexicon of medical data. This presentation unveils an innovative pathway to elevate precision medicine through the synergy of domain-specific hypergraphs and LLMs, spotlighting the collaboration between Mendel AI and Snowflake Cortex as a vanguard solution. Mendel’s AI, in concert with Snowflake Cortex’s cutting-edge technology, overcomes traditional barriers by delivering deeper, quicker clinical insights alongside a framework for secure data sharing. The core architecture of this solution will be explored, showcasing how it enhances the analysis and utility of extensive healthcare datasets for nuanced, actionable intelligence. Through a detailed case study, we will demonstrate Mendel’s proficiency in enabling life science companies to efficiently identify patient cohorts using semantic search techniques. This approach not only streamlines research and development processes but also fosters the creation of targeted therapies and personalized patient care plans. The presentation concludes with a persuasive call to action for life science entities eager to pioneer the future of clinically-responsible AI solutions. By leveraging the collaborative strengths of Mendel AI and Snowflake Cortex, these companies are invited to revolutionize their analytics capabilities, paving the way for breakthroughs in precision medicine that prioritize both innovation and ethical standards in patient care.

Dave Levy, Head of Partnerships, Scitara

Connecting the entire lab ecosystem is critical to advancing true digital transformation. Join us for an engaging discussion on the Scitara DLX platform and how we enable digital transformation with our partners from Snowflake. 

We will cover the following topics: 

• Platform integration vs point to point integration.
• Leveraging Scitara DLX as a high-quality data pump for the Snowflake platform
• The role of AI in platform integration