Call For Papers

The ICPMML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

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

01
Machine learning for personalized treatment plans
02
Predictive analytics in healthcare outcomes
03
AI in genomics and personalized medicine
04
Patient data privacy and security issues
05
Machine learning for drug discovery
06
Clinical decision support systems using AI
07
Telemedicine and machine learning applications
08
Wearable technology and health monitoring
09
Machine learning for chronic disease management
10
Ethical considerations in personalized medicine
11
AI for patient engagement and adherence
12
Healthcare data integration and analysis
13
Machine learning in medical imaging
14
Real-time health monitoring systems
15
AI for health disparities and equity
16
Personalized nutrition and lifestyle recommendations
17
Future trends in healthcare AI technologies
18
Collaborative care models using machine learning
19
Impact of AI on healthcare delivery
20
Interdisciplinary research in personalized medicine

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.



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