SNRI

(ICPMML - 27) | Hybrid Event
29th - 30th January 2027 | Accra, Ghana

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International Conference on Personalized Medicine using Machine Learning
(ICPMML - 27)

29th - 30th January 2027 Accra, Ghana (Hybrid Event)

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Call for Paper

The ICPMML is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Machine Learning, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning for personalized treatment plans
  • Predictive analytics in healthcare outcomes
  • AI in genomics and personalized medicine
  • Patient data privacy and security issues
  • Machine learning for drug discovery
  • Clinical decision support systems using AI
  • Telemedicine and machine learning applications
  • Wearable technology and health monitoring
  • Machine learning for chronic disease management
  • Ethical considerations in personalized medicine
  • AI for patient engagement and adherence
  • Healthcare data integration and analysis
  • Machine learning in medical imaging
  • Real-time health monitoring systems
  • AI for health disparities and equity
  • Personalized nutrition and lifestyle recommendations
  • Future trends in healthcare AI technologies
  • Collaborative care models using machine learning
  • Impact of AI on healthcare delivery
  • Interdisciplinary research in personalized medicine
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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