
Enable Medicine
AI-powered biological search and multimodal data integration for drug discovery and patient stratification.
Overview
Enable Medicine is an AI-powered biological discovery platform designed to support high-stakes drug research and development in biopharma and academia. The company bridges comprehensive cloud biodata infrastructure with advanced AI/ML research and spatial biology methods, enabling organizations to rigorously integrate, interrogate, and interpret multimodal biological data — moving from raw, siloed datasets to actionable scientific insights.
Enable Medicine serves over 200 active collaborators across biopharma and academia, with more than 20 diseases atlased across 75+ published studies. The platform has indexed over 60,000 samples and more than 1.32 billion cells, providing an unparalleled foundation for biological discovery at scale.
Core Platform Capabilities
- Biological Atlas: Enable Medicine constructs a unique multimodal atlas that integrates proprietary biological data with extensive public datasets, tailored to each organization's specific research focus. This atlas spans high-resolution single cell data, relationship-aware spatial data, clinically relevant metadata, and more.
- Actionable Insights: Leveraging AI-powered analysis and domain-leading scientific expertise, the platform surfaces tangible, program-relevant insights to support critical research objectives including patient stratification, indication selection, and target identification.
- Dynamic Discovery: Recognizing that biology is not static, Enable Medicine provides rich, AI-powered search capabilities that allow researchers to intuitively explore their biological atlas and iteratively derive new insights over time.
Key Scientific Applications
- Patient Stratification: The platform supports identification of patient subpopulations relevant to therapeutic programs, as demonstrated in case studies such as predicting TNF inhibitor response in ulcerative colitis patients using multiplex imaging and cloud-based analysis.
- Spatial Biology and Multiplexed Imaging: Enable Medicine has developed and applied advanced spatial proteomics and multiplexed imaging analysis, including proprietary methods such as SPACE-GM (geometric deep learning for decoding disease-relevant microenvironments) and 7-UP (generating in silico CODEX from a small set of immunofluorescence markers).
- Mechanisms of Action and Biomarker Research: The platform supports translational and biomarker studies across a range of disease areas, including autoimmune conditions, cancer, and infectious diseases such as COVID-19.
- Target Identification and Indication Selection: Enable Medicine's infrastructure and expertise are designed to help research teams focus on the most critical scientific queries to advance therapeutic programs efficiently.
Infrastructure and Data Science
- The platform is built to optimize both biology and data science workflows, taking unorganized or siloed biological data from image to insight.
- Enable Medicine maps data across diseases and domains, integrating diverse data types into a comprehensive biological atlas accessible via a cloud-based infrastructure.
- The platform supports analysis of spatial proteomics data generated by multiplex IHC platforms, as well as single cell and tissue microenvironment data.
Collaborations and Validated Research
- Enable Medicine has established collaborations with leading academic institutions including Stanford University, UCSF, and the University of Queensland, as well as biopharma organizations.
- Collaborators have highlighted the platform's ability to enable translational and biomarker studies that would be extremely challenging to conduct solely in-house, as well as its responsive, knowledgeable support for analysis pipelines.
- Published research includes work on cutaneous immunospatial profiling, clonal T cell microenvironments in autoimmune disease, and spatial biology applications in cancer and COVID-19.
Enable Medicine offers partnership and collaboration models for organizations looking to scale their therapeutic discovery and development, accelerating program timelines through deep, AI-powered biological insights delivered via its cloud platform.