Accelerating Cardiovascular Discovery
From bench to bedside, Cardiomics.ai provides the AI infrastructure for next-generation cardiac research, drug discovery, and precision medicine.
The Complete
Cardiac AI Infrastructure
Cardiomics.ai integrates cutting-edge AI with deep cardiac biology expertise
to accelerate every stage of cardiovascular research and drug development.
AI-First Architecture
Purpose-built machine learning models trained on millions of cardiac data points, delivering unprecedented accuracy in phenotype detection, drug response prediction, and disease modeling.
Knowledge Integration
Connect your data to our cardiac knowledge graph with 2M+ biomedical entities.
Cloud-Native
Secure, scalable infrastructure. Access from anywhere, collaborate globally.
HIPAA Ready
Enterprise security
Collaboration
Team workspaces
API Access
Full integration
Real-Time
Live analytics
Purpose-Built Tools for
Cardiac Research
Pulse
Automated cardiac contraction analysis for iPSC-CMs, adult cardiomyocytes, organoids, and EHTs.
- Video-based contraction analysis
- Calcium transient quantification
- Action potential metrics
- 50+ automated parameters
- AI-powered quality control
- Batch processing support
Knowledge Graph
Explore cardiac biology through our comprehensive knowledge graph of genes, diseases, drugs, and pathways.
- 2M+ biomedical entities
- Cardiac-focused ontology
- Drug-target interactions
- Pathway analysis
- Literature integration
- Gene expression data
Drug Discovery
AI-powered screening and cardiotoxicity prediction for pharmaceutical research. Accelerate drug development with comprehensive safety assessment.
- Cardiotoxicity prediction
- High-throughput screening
- Dose-response modeling
- Safety pharmacology
- Target identification
- Structural biology pipeline
Powering Research
Across Disciplines
From basic science to clinical translation, Cardiomics.ai supports the full spectrum of cardiovascular research.
iPSC-Cardiomyocytes
High-throughput functional analysis of patient-derived stem cell models
Calcium Dynamics
Automated calcium transient analysis and excitation-contraction coupling
Automated Cell Tracking
Machine learning-powered identification and segmentation of cardiomyocytes
Engineered Heart Tissue
Force measurement and contractility analysis for 3D cardiac constructs
Cardiac Organoids
Multi-chamber heart organoid development and functional characterization
Wave Propagation
Conduction velocity mapping and arrhythmia detection in tissue sheets
Join Our Research Community
Be the first to know about new discoveries, platform updates, and opportunities to participate in groundbreaking cardiovascular research.