Otology and Neurotology
Exhibition
Oct 06-07, 2025 Tokyo, Japan

International Conference onOtology and Neurotology

Abstract Submission Deadline: Apr 03, 2025
Early Bird Registration End Date: Apr 04, 2025

Potential Exhibitor

Sciconx proffers our immense pleasure and honor in extending you a warm invitation to attend our Conferences. It is focusing on "BRIDGING THE GAP BETWEEN ACADEMIA AND INDUSTRY" to enhance and explore knowledge among Life Science community and Industrial Community to establish corporations and exchanging ideas. Providing the right stage to present stimulating Keynote talks, Plenary sessions, Discussion Panels, B2B Meetings, Poster symposia, Video Presentations and Workshops.

We hope you will join us for a symphony of outstanding experience, and take a little extra time to enjoy the spectacular and unique beauty of this region.

Our Target Audiences

Academic Professionals

Academic Professionals

Students

Students

Industrial Delegates

Industrial Delegates

Exhibitor Benefits & Packages

  • An opportunity to sponsor one poster presentation award.
  • Complimentary conference registration.
  • Set up of one tailor-made exhibit booth (Booth Size 3x3 sqm).
  • Logo recognition on conference website sponsorship page.
  • A4 Color Advertisement in conference Proceedings.
  • Inclusion of your company’s Flyer/Logo in the conference delegate bags.
  • Exclusive online promotion on all our social Networking Sites.
  • Promote your corporate image through logo branding.
  • Brand briefing at the opening and closing ceremonies.
  • Press Release on behalf of your company.

Latest News

Advances in Machine Learning for Neuro-Otology Diagnosis

2025-02-26 - 2025-02

Recent research has highlighted the potential of machine learning (ML) to enhance diagnostic accuracy in neuro-otology. ML models have been developed to analyze complex clinical data, including patient history, examination findings, and vestibular function tests, to differentiate between various causes of vertigo. These models aim to assist clinicians in real-time diagnosis, especially in distinguishing conditions like stroke from vestibular neuritis. While promising, further validation in diverse populations is necessary to ensure their reliability in clinical settings.


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