Technology ID
TAB-5104

AI Based Workflow for Single Cell Analysis

E-Numbers
E-026-2025-0
Lead Inventor
Caspi, Rachel
Lead IC
NEI
Co-Inventors
Nagarajan, Vijayaraj
ICs
NEI
Applications
Software / Apps
Research Materials
Therapeutic Areas
Veterinary
Urology
Respiratory
Reproductive Health
Rare/Neglected Diseases
Radiology
Pulmonology
Psychiatry/Mental Health
Ophthalmology
Oncology
Obstetrics/Neo-Natal
Neurology
Nephrology
Metabolic Disease
Infectious Disease
Immunology
Hematology
Geriatrics
Gastroenterology
Endocrinology
Dermatology
Dental
Cardiology
Development Stages
Prototype
Research Products
Computational models/software

The National Eye Institute (NEI) seeks research co-development partners and/or licensees for single-cell RNA sequencing (scRNA-seq) analysis software that leverages existing large language models (LLM) to simplify and enhance data analysis by providing intelligent recommendations and interpretations.

This technology includes SCassist, an innovative open-source R package designed to enhance single-cell RNA sequencing (scRNA-seq) data analysis. The complexity of scRNA-seq workflows often requires extensive expertise, making it challenging for many researchers to fully explore their data. This limitation can hinder scientific discovery and innovation, as researchers may struggle to navigate through the intricate stages of data filtering, normalization, clustering, and interpretation. SCassist addresses these challenges by leveraging large language models (LLMs) to provide intelligent recommendations and interpretations throughout the analysis process, making advanced scRNA-seq analysis accessible to researchers at all levels.

SCassist integrates LLMs into key workflow steps, offering guidance on filtering, normalization, clustering parameters, and insightful interpretations of variable features and principal components. It also performs cell type annotations and provides a system-level view through network representations based on pathway and ontology enrichment analyses. This user-friendly interface allows researchers to incorporate AI-driven insights into their scRNA-seq analysis, ultimately accelerating their workflow and uncovering deeper biological understanding. By democratizing scRNA-seq analysis, SCassist empowers researchers to navigate complexities and make the most of their valuable data.

The National Eye Institute (NEI) is seeking licensing opportunities and collaborative partnerships to further develop and expand the capabilities of SCassist. This technology has the potential to be utilized across various fields, including genomics, proteomics, and metabolomics, enabling researchers to gain novel insights into their ‘omics’ scale data. The NEI welcomes inquiries from potential partners interested in leveraging SCassist to enhance their research capabilities and drive scientific innovation.

Commercial Applications
• Basic researchers • Biomarker identification, toxicology studies, cell therapy development • Companies specializing in single cell sequencing technologies can incorporate SCassist into their product offerings, enhancing the analytical capabilities and value of their platforms • Companies providing sequencing services can integrate an analysis platform for customers

Competitive Advantages
• Makes scRNA-seq analysis accessible to researchers at all levels by providing user guidance in a user-friendly interface • Incorporation of artificial intelligence assistance for parameter selections • Seamlessly integrates LLMs into the standard single cell analysis workflow, providing LLM-guided interpretations, cell type annotations, and enrichment analysis • Addresses the computational challenges associated with single-cell RNA-seq data analysis, regardless of how libraries and data are generated • All encompassing workflow from start to finish
Licensing Contact:
Pollard, Ricquita
ricquita.pollard@nih.gov