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International Conference on Deep Learning in Healthcare and Medical Informatics

22–23 Oct 2026 Cannes, France Standard / Physical Participation
Listener Registration
$179
virtual · $269 in person
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Supporting global researchConnect with researchers across 30+ countries

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View full Refund, Cancellation & Terms policy
Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to info@iarfconference.com. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to info@iarfconference.com

Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the conference.

This track focuses on the latest developments in deep learning methodologies specifically tailored for healthcare applications. Contributions may include novel architectures, training techniques, and case studies demonstrating effectiveness in clinical settings.
This session will explore the application of statistical methods in analyzing complex medical datasets. Topics may include hypothesis testing, regression models, and the interpretation of statistical results in a healthcare context.
This track emphasizes the role of predictive analytics in enhancing patient care through data-driven decision-making. Presentations may cover algorithms and models that predict patient outcomes and optimize treatment plans.
This session will delve into the use of simulation and modeling techniques in biomedical research. Topics may include computational models that replicate biological processes and their implications for healthcare innovation.
This track addresses the challenges and solutions associated with managing and analyzing big data in healthcare informatics. Discussions will focus on data integration, storage, and the extraction of meaningful insights from large datasets.
This session will highlight the application of neural networks in various medical domains, including diagnostics and treatment planning. Contributions may include innovative uses of deep learning architectures in clinical practice.
This track explores optimization methods used to improve healthcare delivery and resource allocation. Topics may include algorithmic approaches to enhance operational efficiency in medical settings.
This session focuses on the intersection of computational biology and medical research. Presentations may cover bioinformatics tools and techniques that facilitate the understanding of complex biological systems.
This track examines the role of automation in the management and analysis of clinical data. Discussions will include tools and technologies that streamline data processing and enhance data quality.
This session will focus on pattern recognition techniques applied to medical imaging data. Contributions may include advancements in image analysis algorithms that improve diagnostic accuracy.
This track addresses the ethical implications of deploying AI technologies in healthcare settings. Discussions will focus on privacy, bias, and the responsibilities of researchers and practitioners in the field.