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International Conference on AI in Computational Proteomics (ICAICPT-26)

1st - 2nd September 2026 Warsaw, Poland
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Join researchers, academicians, professionals, and industry experts to exchange ideas, strengthen academic collaboration, and explore research-driven practices across diverse disciplines.

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Attend keynote, plenary and technical sessions across relevant academic tracks.

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4 Terms & Condition
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 event@after.org.in. 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 event@after.org.in

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Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 SDG 4 SDG 7 SDG 9 SDG 16 SDG 17
01 Advancements in AI-Driven Proteomics
This track will explore the latest advancements in artificial intelligence techniques applied to proteomics research. Emphasis will be placed on novel algorithms and methodologies that enhance protein analysis and interpretation.
02 Data Science Approaches in Genomic Studies
This session will focus on the integration of data science methodologies in genomic research, highlighting innovative techniques for data mining and analysis. Participants will discuss case studies that demonstrate the impact of data-driven approaches on genomic discoveries.
03 Machine Learning Applications in Biomedical Informatics
This track will cover the application of machine learning algorithms in biomedical informatics, particularly in the context of proteomics and genomics. Discussions will include challenges and successes in implementing these technologies for clinical applications.
04 Computational Biology and Systems Biology Integration
This session will delve into the intersection of computational biology and systems biology, focusing on how AI can facilitate the understanding of complex biological systems. Presentations will highlight integrative approaches that leverage multi-omics data.
05 Predictive Analytics in Biomarker Discovery
This track will examine the role of predictive analytics in the identification and validation of biomarkers for various diseases. Researchers will present methodologies that enhance the accuracy and reliability of biomarker discovery processes.
06 Workflow Automation in Computational Proteomics
This session will address the automation of workflows in computational proteomics, showcasing tools and platforms that streamline data processing and analysis. The focus will be on improving efficiency and reproducibility in proteomic studies.
07 Drug Discovery Enhanced by AI Techniques
This track will explore how artificial intelligence is revolutionizing the drug discovery process, from target identification to lead optimization. Participants will discuss case studies demonstrating the effectiveness of AI in accelerating drug development timelines.
08 Functional Genomics and AI Integration
This session will focus on the integration of AI in functional genomics, emphasizing how machine learning can aid in the interpretation of gene function and regulation. Presentations will highlight innovative research that bridges these two fields.
09 Bioinformatics Tools for Proteomic Analysis
This track will showcase cutting-edge bioinformatics tools designed for the analysis of proteomic data. Discussions will include user experiences, tool comparisons, and future directions in bioinformatics software development.
10 Ethical Considerations in AI and Biomedical Research
This session will address the ethical implications of using AI in biomedical research, particularly in proteomics and genomics. Participants will engage in discussions about data privacy, algorithmic bias, and the responsible use of AI technologies.
11 Collaborative Approaches in AI-Driven Research
This track will highlight collaborative research efforts that utilize AI in proteomics and bioinformatics. Case studies will illustrate the benefits of interdisciplinary partnerships in advancing scientific knowledge and innovation.