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International Conference on Computational Bioinformatics in Organ-on-Chip Engineering

ICCBOCE

19th May – 20th May 2027 Rome, Italy

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An official invitation letter will be provided upon successful registration for your participation in the conference.

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Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 3 SDG 4 SDG 9 SDG 11
01 Advancements in Predictive Modeling for Organ-on-Chip Systems +
This track focuses on the latest methodologies in predictive modeling specifically tailored for organ-on-chip applications. Researchers are invited to present their findings on enhancing model accuracy and reliability in simulating biological responses.
SDG 3 SDG 9
02 Deep Learning Techniques in Bioinformatics for Organ-on-Chip +
This session explores the integration of deep learning algorithms in bioinformatics to improve organ-on-chip engineering. Contributions should highlight novel applications and the impact of these techniques on data interpretation and analysis.
SDG 4 SDG 9
03 Feature Extraction and Anomaly Detection in Microfluidic Systems +
This track examines innovative approaches to feature extraction and anomaly detection within microfluidic organ-on-chip platforms. Presentations should focus on methodologies that enhance system monitoring and data quality.
SDG 3 SDG 9
04 Unsupervised Learning Approaches in Organ-on-Chip Data Analysis +
This session invites discussions on unsupervised learning techniques applied to the complex datasets generated by organ-on-chip systems. Researchers are encouraged to share insights on clustering, dimensionality reduction, and pattern recognition.
SDG 4 SDG 9
05 Workflow Automation in Organ-on-Chip Engineering +
This track highlights advancements in workflow automation technologies that streamline organ-on-chip engineering processes. Contributions should address the integration of automation in experimental design, data collection, and analysis.
SDG 9 SDG 12
06 Industrial IoT Applications in Organ-on-Chip Technologies +
This session focuses on the role of Industrial IoT in enhancing the functionality and monitoring of organ-on-chip systems. Researchers are invited to present case studies and innovative solutions that leverage IoT for improved system performance.
SDG 9 SDG 11
07 Simulation and Analytics for Tissue Engineering Applications +
This track explores the use of simulation and analytics in the context of tissue engineering within organ-on-chip frameworks. Presentations should emphasize computational techniques that facilitate the design and optimization of tissue constructs.
SDG 3 SDG 9
08 Data Integration Strategies for Organ-on-Chip Research +
This session addresses the challenges and solutions related to data integration in organ-on-chip studies. Researchers are encouraged to discuss frameworks that enable seamless integration of diverse datasets for comprehensive analysis.
SDG 4 SDG 9
09 Model Evaluation and Validation in Bioinformatics +
This track focuses on the critical aspects of model evaluation and validation in the context of bioinformatics for organ-on-chip systems. Contributions should highlight best practices and innovative metrics for assessing model performance.
SDG 3 SDG 4
10 Resource Allocation and Predictive Maintenance in Organ-on-Chip Systems +
This session examines strategies for resource allocation and predictive maintenance in the management of organ-on-chip technologies. Researchers are invited to present methodologies that optimize resource use and enhance system reliability.
SDG 9 SDG 12
11 Digital Twin Technologies in Organ-on-Chip Engineering +
This track explores the application of digital twin technologies in the development and monitoring of organ-on-chip systems. Presentations should focus on how digital twins can enhance predictive capabilities and system performance.
SDG 9 SDG 11