At eClinica, we design and deploy advanced Artificial Intelligence solutions to support pharmaceutical, biotechnology, and clinical research organizations in extracting value from complex datasets.
Our expertise combines computer vision, time-series analysis, and AI engineering, enabling automated, scalable, and unbiased analysis of data such as video, physiological signals, and experimental measurements.
We focus on solving complex analytical problems where traditional approaches reach their limits:
Large-scale video and motion analysis
Behavioral and temporal pattern recognition
Physiological signal interpretation
Multimodal data integration
Our solutions are designed to accelerate research, reduce bias, and improve analytical precision, while remaining usable in operational environments.
We develop AI models capable of extracting detailed and quantitative information from video streams.
Object detection and segmentation
Pose estimation and skeleton tracking
Multi-object tracking
Multi-camera analysis
Tracking of multiple subjects simultaneously
Reconstruction of motion and posture
Extraction of behavioral and kinematic metrics
Detection of complex events and interactions
Fully automated video analysis
Fine-grained and objective measurement of motion and behavior
Significant reduction of human bias in observation and annotation
We leverage advanced sequence modeling techniques to capture complex temporal dependencies in data.
LSTM / GRU neural networks
Temporal Convolutional Networks (TCN)
Multi-frame and time-series models
Automated classification of behaviors and states
Detection of complex and subtle temporal patterns
Analysis of long sequences and evolving dynamics
Deeper understanding of temporal phenomena
Identification of patterns not visible to the human eye
Generation of structured and quantitative behavioral insights
We apply AI techniques to interpret complex biomedical signals and extract meaningful insights.
Time and frequency domain analysis
Deep learning applied to time-series data
Anomaly detection models
EEG, ECG, and other physiological measurements
Analysis of brain and cardiac activity
Detection of anomalies and significant patterns
Correlation between physiological signals and behavior
Faster and more accurate interpretation of complex signals
Integrated view combining physiology and behavior
Support for advanced research and diagnostics
We go beyond model development by industrializing AI solutions and integrating them into real-world environments.
End-to-end data pipelines (video, signals, multimodal data)
Data processing and feature engineering
Model integration into applications
On-premise deployment (secure environments)
Development of web and desktop interfaces
Dashboards and data visualization tools
Robust and scalable AI systems
Seamless integration into R&D workflows
Usable tools for scientists, analysts, and operational teams
Our strength lies in combining multiple data sources:
Video data
Behavioral data
Physiological signals
This enables a holistic understanding of complex phenomena, unlocking new insights and improving research outcomes.
We develop AI solutions adapted to the constraints of healthcare and life sciences:
Data sensitivity and privacy
Reproducibility and traceability
Integration with existing systems
Scalability and long-term maintainability
Our approach ensures that AI solutions are not only powerful, but also reliable, explainable, and usable in real-world contexts.
Strong expertise in healthcare and life sciences data
Combination of AI research and engineering capabilities
Ability to industrialize and deploy AI solutions
Integration with software development and validation practices
Focus on measurable value and operational impact
Whether you are exploring AI opportunities or scaling existing solutions, eClinica helps you transform complex data into actionable, reliable, and high-value insights.
Contact us to discuss your AI initiatives