Deploy LLaMA2 models on Snowflake to automate protocol search and summarization. Enhance trial feasibility and regulatory readiness with LLM-based insights.
Leveraging LLaMA2 for Querying & Summarizing Clinical Trial Protocols on Snowflake Read More »
Fine-tune ChemBERTa on Snowflake to predict compound toxicity. Bridge AI with molecular science to boost preclinical safety assessments.
Snowflake in Drug Discovery: Fine-Tuned ChemBERTa for Toxicity Prediction Read More »
Combine Snowpark ML with pharma-specific datasets for smarter forecasting. Improve accuracy and agility in supply chain planning using real-time data pipelines.
Demystifying Pharma Demand Forecasting & Supply Chain Using Snowpark ML Read More »
A Retrieval-Augmented Generation (RAG) framework built on Snowflake for trial protocol search. Accelerate study design with LLM-powered question answering and summarization.
Clinical Trial Assistant: A RAG-Based Approach on Snowflake Read More »
Learn how Snowflake supports scalable, AI-driven drug discovery workflows. From data ingestion to molecule screening, unify analytics on a single platform.
Snowflake in Drug Discovery Read More »
Unlock the power of location data in life sciences with Snowflake and CARTO. Use cases span site selection, epidemiology, and real-world evidence analysis.
Geospatial Analytics in Life Sciences with Snowflake & CARTO Read More »
Explore how Snowflake and a Vault-based architecture address data privacy in life sciences. A scalable, secure solution to manage sensitive biomedical data across organizations.
Addressing Privacy and Security in Life Sciences with Vault-Based Architecture Read More »
Life Sciences firms can accelerate data-driven innovation without sacrificing compliance or ethics. Featuring FAIR principles, dynamic access controls, masking techniques, and automated governance workflows—spotlight on applying these for responsible AI in pharma and biomedical research
Driving Innovation Responsibly in Life Sciences AI Read More »
In life sciences FAIR (Findable, Accessible, Interoperable, Reusable) data principles empower precision medicine. By implementing scalable metadata and flexible data models, organizations can unlock richer, secure biomedical insights while balancing usability and governance across diverse research teams. This is a POV for enabling FAIR on Snowflake
Enabling FAIR Data in Life Sciences with Snowflake Read More »
What is a data clean room? Dive into how data clean rooms enable secure, privacy-first collaboration in life sciences. These environments support federated research across organizations while preserving patient confidentiality via encryption, policy controls, and privacy-enhancing technologies. Read to learn more on how this comes to life.
What Is a Data Clean Room in Life Sciences? Read More »