Features
Rapid diagnostic assay design using AI (weeks vs 12+ months)
Point-of-care molecular diagnostics for emerging threats
AI-driven protein sequence analysis
Nucleic acid probe design using machine learning
Automated validation workflows for candidate assays
Biomarker discovery for novel pathogens
Integration with biosurveillance data streams
Customizable diagnostic panels for specific threat scenarios
Collaborative platform for bioengineering teams
Data-driven prioritization of biological threats
Computational bionanotechnology-based test design
Autonomous hypothesis generation with agentic AI
Multimodal patient data integration (spatial, multi-omics, clinical)
Clinical trial design and patient stratification
Patient and population analytics
Early portfolio decision insights
Patient validation through wet lab infrastructure
Target ID engine distinguishing novel from rediscovery
Collaborative network of 30+ academic centers
Multi-year partnership with Sanofi for custom AI agents
NVIDIA collaboration for biological benchmark testing
Narrows search space in aging research
K Pro connected to front-end user feedback
Support for antibody-drug conjugate development via spatial biology
