spatiAlytica: AI-Driven Spatial Transcriptomic Discovery with Multi-Agent Large Language Models

University of Pittsburgh researcher has developed spatiAlytica, an AI-powered system designed for the seamless analysis and visualization of single-cell or spot-based spatial transcriptomics data. This innovative platform combines advanced natural language processing (NLP) capabilities with an interactive visual interface, allowing biologists to interact with spatial transcriptomics data using natural language queries. spatiAlytica translates these queries into code, performs the necessary computations, and visualizes the results in real-time, making complex bioinformatics workflows accessible to researchers without coding expertise.

Description

spatiAlytica is a comprehensive system that integrates large language models (LLMs) with spatial biology tools to facilitate the exploration, interpretation, and discovery of spatial transcriptomics data. Designed for biologists without coding backgrounds, it features a user-friendly interface for intuitive data exploration and analysis, real-time visualization with dynamic updates, and advanced querying that allows users to pose complex biological questions in natural language. The system supports various data formats, including AnnData (H5AD) and CSV files, and automatically interprets key metadata to initialize the software, with options for manual adjustments.

Applications

• Cancer research
• Spatial transcriptomics analysis
• Bioinformatics
• Clinical and translational research

Advantages

spatiAlytica offers several advantages, including enabling wet lab scientists and clinicians with little to no coding experience to explore spatial transcriptomics data effortlessly. It reduces analysis time by performing real-time analysis, democratizes bioinformatics resources, and enhances collaboration between biologists and bioinformaticians. The platform also supports secure handling of sensitive patient data, ensuring compliance with regulatory frameworks like HIPAA and IRB. Additionally, spatiAlytica is highly adaptable, leveraging open-source tools and existing spatial biology datasets to scale as more data and functionalities are added.

Invention Readiness

The concept of spatiAlytica has been defined, and a prototype exists. The prototype's performance has been validated, and the software is ready for further development and commercialization. The platform has been presented at various conferences and competitions, demonstrating its potential and garnering interest from the research community.

IP Status

Copyright