Workshop – 2nd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET’22)

First call for papers to the 2nd International Workshop on Artificial
Intelligence and Machine Learning for Emerging Topics (ALLEGET’22) –
http://www.alleget.es/

Find information attached.

Best regards.

MSc Artificial Intelligence in Medicine – University of Bern – Switzerland

Do you want to gain the skills to develop engineering solutions to the next unmet medical challenges?

The master’s program Artificial Intelligence in Medicine (AIM) at the University of Bern is your path to a successful career in medical technology innovation.

The University of Bern is a global leader in biomedical engineering and artificial intelligence (AI) in medicine research. Engineers and medical professionals work hand in hand to translate the newest findings into modern, clinical applications, train the engineering workforce of the future and bring better treatment to patients.

Be part of this team! Apply today!

 

Master of Science Artificial Intelligence in Medicine

·      Two-year full-time program in English

·      Admission with bachelor’s degrees in a variety of STEM subjects

·      Compatible with 40% working time

·      Rotations in university hospital departments to be instructed in medical specialties

·      Fundamental and applied courses in AI

·      Master's thesis project (one semester)

·      Study at the Swiss medical technology hub with strong ties to industry and the clinic!

 

Learn more:

www.medizin.unibe.ch/studies/study_programs/master_in_artificial_intelligence_in_medicine/index_eng.html

 

https://www.caim.unibe.ch/msc_aim

Special Issue on “Advanced Machine Learning Algorithms for Biometrics and Its Applications”

You are cordially invited to submit a manuscript to the Applied Sciences special issue on “Advanced Machine Learning Algorithms for Biometrics and Its Applications”.

Please find further information below.

https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Biometrics

With best regards,

Prof. Larbi Boubchir

Special Session on Artificial Intelligence and Computer Vision in Healthcare (MetroXRAINE 2022)

2022 IEEE INTERNATIONAL CONFERENCE ON
METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL
ENGINEERING
Rome (Italy), October 26-28, 2022

Special Session on Artificial Intelligence and Computer Vision in Healthcare
https://metroxraine.org/special-session-12

Abstract submission deadline: March 18
Full paper submission deadline: May 10

Recent developments on clinical decision support systems, precision
health and data science are revolutionizing healthcare and medicine,
which represent an area of broad economic, social, and scientific
impact. The use of machine learning and computer vision is a trend that
is innovating the health sector. Moreover, the recent pandemic scenario
has brought to light the importance of health monitoring and
surveillance of health protocols, which can be automated by artificial
intelligence and computer vision techniques. Therefore, this special
session aims to explore and investigate the state-of-the-art
advancements in the field, providing a common platform for academics,
developers, and industry-related researchers to discuss, share
experiences and explore the new technological advances.

Topics
The list of topics includes (but it is not limited to) the following:
     • Machine learning for medicine and health
     • Deep learning for medicine and health
     • Data mining in healthcare
     • Decision support systems for healthcare
     • Biomedical image processing
     • Biosignal processing
     • Recommending and decision-making models and systems based on AI
     • Sentiments Analysis
     • Bioinformatics
     • Neuroimaging
     • Applications and case-studies

Organizers
Dr. Enrique Dominguez (Spain)
Dr. Esteban J. Palomo (Spain)

Course on Machine Learning

It is my pleasure to apprise that I have made my course content related to the course on “Machine Learning freely available for academic purposes.

Course Page:

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