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ICCBOCE · Registering as Listener
International Conference on Computational Bioinformatics in Organ-on-Chip Engineering
21–22 Apr 2027
Rotterdam, Netherlands
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135
virtual · $195 in person
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to
[email protected]
with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to
[email protected]
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Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
8. Conference Programme and Participation Policy :
Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.