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ICAIDSBD · Registering as Listener
International Conference on AI and Data Science for Biomarker Discovery
12–13 Oct 2026
Auckland, New Zealand
Standard / Physical
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$
155
virtual · $215 in person
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$155
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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If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.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 Machine Learning for Biomarker Discovery
This track focuses on the latest machine learning techniques and their applications in identifying novel biomarkers. Researchers are encouraged to present innovative algorithms and methodologies that enhance biomarker discovery processes.
02
Data Science Approaches in Genomics and Proteomics
This session will explore the integration of data science methodologies in the analysis of genomic and proteomic data. Contributions should highlight case studies where data-driven insights have led to significant findings in biomarker research.
03
Bioinformatics Tools for Functional Genomics
This track aims to showcase bioinformatics tools and frameworks that facilitate functional genomics studies. Presentations should focus on how these tools can be leveraged to uncover the biological significance of biomarkers.
04
Computational Biology in Drug Discovery
This session will delve into the role of computational biology in the drug discovery pipeline, emphasizing the identification of biomarkers that predict drug response. Researchers are invited to discuss computational models that enhance drug development efficiency.
05
Systems Biology and Its Impact on Biomarker Research
This track will examine systems biology approaches that integrate various biological data types to advance biomarker discovery. Contributions should address how these integrative methods improve our understanding of complex biological systems.
06
Predictive Analytics in Biomedical Informatics
This session focuses on the application of predictive analytics techniques within biomedical informatics to identify and validate biomarkers. Researchers are encouraged to present studies that demonstrate the practical implications of predictive models in clinical settings.
07
Workflow Automation in Biomarker Discovery
This track will highlight innovations in workflow automation that streamline the biomarker discovery process. Presentations should focus on tools and platforms that enhance efficiency and reproducibility in research workflows.
08
Protein Structure Prediction and Biomarker Identification
This session will explore the intersection of protein structure prediction and biomarker identification. Contributions should discuss how advancements in structural biology can lead to the discovery of novel biomarkers for various diseases.
09
Ethical Considerations in AI and Data Science for Biomarkers
This track will address the ethical implications of using AI and data science in biomarker research. Discussions should focus on data privacy, consent, and the responsible use of AI technologies in biomedical applications.
10
Integration of Multi-Omics Data for Biomarker Discovery
This session will focus on the integration of multi-omics data, including genomics, transcriptomics, and proteomics, to enhance biomarker discovery efforts. Researchers are invited to present methodologies that effectively combine these diverse data sources.
11
Innovative Applications of AI in Biomedical Research
This track will showcase innovative applications of artificial intelligence in various aspects of biomedical research, particularly in biomarker discovery. Presentations should highlight successful case studies and emerging trends in the field.