ICMLC 2027 will be held in Shenzhen, China on February 26-March 01, 2027. The ICMLC 2027 organizing committees invite you to submit the papers to special session. Each special session will be arranged for around 2 hours on Feb. 27 or 28's afternoon. Now the information on special session as following:

Topic: Machine Learning for Biomedical and Healthcare Applications

Organizers | 组织者

 

Recent advances in machine learning and artificial intelligence have created new opportunities for addressing a wide range of challenges in biomedicine and healthcare. The increasing availability of clinical records, medical images, genomic data, and other biomedical data sources has enabled the development of data-driven methods for disease analysis, diagnosis, prognosis, and knowledge discovery.This special session aims to bring together researchers working on machine learning, artificial intelligence, data mining, and computing technologies for biomedical and healthcare applications. The session welcomes both methodological innovations and practical applications that leverage advanced computational techniques to analyze complex biomedical and healthcare data.Topics of interest include machine learning for biomedical data analysis, medical image computing, bioinformatics, multi-omics data integration, disease prediction, patient stratification, explainable AI, computational biology, and biomedical knowledge discovery. Contributions addressing real-world healthcare challenges, interpretable models, and robust data-driven approaches are particularly encouraged.

The scopes as following:
• Machine Learning Methods for Biomedical and Healthcare Data
• Medical Image Analysis and Computer-Aided Diagnosis
• Bioinformatics and Multi-omics Data Analysis
• Disease Prediction, Patient Stratification, and Precision Medicine
• Explainable and Trustworthy AI for Healthcare
• Computational Biology and Biomedical Knowledge Discovery

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Welcome to submit more proposal on ICMLC 2027 special session, please download:
 Proposals Submission Guidelines.

Learn more details or submit the proposal, please contact us:
Ms. Doris Ge
Email: icmlc@vip.126.com
Tel: +86-13709044746