International Conference on Healthcare Applications of Machine Learning - (ICHAML-26)


4th - 5th December, 2026 | Cairo, Egypt

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

Important Dates

Pre-registration Deadline

4th November, 2026

Paper Submission Deadline

9th November, 2026

Last Date Of Registration

19th November, 2026

Date Of Conference

4th - 5th December, 2026

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICHAML-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning applications in healthcare
  • Predictive analytics for patient outcomes
  • AI in medical imaging analysis
  • Natural language processing for clinical data
  • Healthcare data privacy and security
  • Machine learning for personalized medicine
  • Telehealth and AI integration
  • Challenges in healthcare machine learning
  • Real-time monitoring with machine learning
  • Clinical decision support systems using ML
  • Ethical considerations in healthcare AI
  • Patient data management with AI
  • Machine learning for drug discovery
  • Wearable technology and machine learning
  • AI in health informatics solutions
  • Impact of machine learning on diagnostics
  • Collaborative healthcare AI projects
  • Future of AI in healthcare delivery
  • Machine learning for public health analysis
  • Integrating machine learning in hospitals

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot