TECH-2024: The Evolutionary Computation for Healthcare workshop |
Website | https://sites.google.com/view/tech-2024 |
Submission link | https://easychair.org/conferences/?conf=tech2024 |
Submission deadline | May 1, 2024 |
Call for papers for the TECH-2024
The Evolutionary Computation for Healthcare workshop (TECH-2024) is multidisciplinary, bringing together AI and Healthcare researchers working in the fields of personalised medicine, medical devices; clinical diagnostics, and patient monitoring by applying advanced genetic and evolutionary computation techniques to address critical problems in digital healthcare and medical applications.
The Evolutionary computation for health (TECH) and novel AI solutions, offer the next generation of healthcare solutions, when the demand on health systems and hospitals worldwide is increasingly becoming unsustainable. As the mode of treatment turns from the hospital to the home, there has been a particular focus on AI and EC for personalized medicine in the hope of improving patient care and reducing costs.
Journal of Medical Systems (JMS), Springer, which will publish all accepted papers from TECH-2024 as journal articles, in a post-event special issue in the JMS journal (Impact 5.3).
See the website for other details: https://sites.google.com/view/tech-2024
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper topics are welcome (not exhaustive list):
- Full papers describing novel research, literature reviews or preliminay findings
List of Topics
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Medical imaging
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Medical signal processing
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Medical text analysis
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Clinical diagnosis and therapy
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Data mining medical data records
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Clinical expert systems
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Modelling and simulation of medical processes
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Drug description analysis
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Genomic-based clinical studies
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Patient-centric care
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Patient/hospital management optimisation
Committees
Program Committee
- Professor Neil Vaughan
Contact
All questions about submissions should be emailed to Professor Neil Vaughan: n.vaughan@exeter.ac.uk