Hybrid Conferencee

International Conference on Machine Learning for Healthcare Analytics (ICMLHA - 26)

20th - 21st October 2026 | Madrid, Spain

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Madrid. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Madrid event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Madrid conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Madrid, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Madrid."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

AI-Driven Patient Outcome Prediction

This track focuses on the development and application of artificial intelligence techniques to predict patient outcomes in various healthcare settings. Emphasis will be placed on methodologies that enhance predictive accuracy and clinical relevance.

Track 02

Machine Learning in Medical Image Processing

This session will explore innovative machine learning algorithms designed for the analysis and interpretation of medical images. Participants will discuss advancements in image classification, segmentation, and enhancement techniques.

Track 03

Disease Risk Modeling and Assessment

This track will address the use of data science and machine learning in modeling disease risk factors and outcomes. Researchers will present novel approaches to identify high-risk populations and inform preventive strategies.

Track 04

Electronic Health Record Analytics

This session will delve into the utilization of machine learning techniques for analyzing electronic health records to extract actionable insights. Topics will include data integration, feature extraction, and predictive modeling.

Track 05

Drug Response Prediction Using AI

This track will focus on the application of artificial intelligence in predicting patient responses to various pharmacological treatments. Discussions will include personalized medicine approaches and the integration of genomic data.

Track 06

Healthcare Decision Support Systems

This session will explore the design and implementation of AI-driven decision support systems in healthcare. Emphasis will be on enhancing clinical workflows and improving patient care through data-informed decisions.

Track 07

Precision Medicine and Machine Learning

This track will investigate the role of machine learning in advancing precision medicine initiatives. Researchers will discuss how AI can tailor treatment plans based on individual patient characteristics and historical data.

Track 08

Clinical Trial Analytics and Optimization

This session will focus on the application of data science techniques to optimize clinical trial design and execution. Topics will include patient recruitment strategies, data monitoring, and outcome prediction.

Track 09

Hospital Management and Operational Analytics

This track will examine the use of machine learning and data analytics in improving hospital management and operational efficiency. Discussions will cover resource allocation, patient flow optimization, and cost reduction strategies.

Track 10

Health Informatics and AI Integration

This session will explore the intersection of health informatics and artificial intelligence in enhancing healthcare delivery. Topics will include data interoperability, health information systems, and AI applications in public health.

Track 11

Predictive Healthcare Modeling Techniques

This track will focus on the development of predictive models aimed at improving healthcare outcomes. Researchers will present innovative methodologies and case studies demonstrating the impact of predictive analytics in clinical settings.