Artificial Intelligence in Bioinformatics
Taipei Medical University
  • Start Date: 21 Feb, 2022
  • 3 weeks
  • Study Content: Videos


Discover the future of bioinformatics and learn how AI models of bioinformatics data help us to understand biological processes.

Course Fee: Free
Certificate Cost: See Fees and Eligibility

Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

Study the use of AI, machine learning, and deep learning in bioinformatics


This course will teach you the fundamentals of how AI is applied in the field of bioinformatics.


You’ll explore how AI, machine learning, deep learning, and natural language processing (NPL) concepts are used in the design and discovery of drugs, as well as for modelling complex biological systems.


Learn about AI-based bioinformatics


Artificial intelligence (AI) is transforming the field of bioinformatics.


On this course, you’ll learn the basics of collecting, analysing, and modeling bioinformatics data using AI.


You’ll find out how to collect and explore bioinformatics data from public resources and then use AI to analyse and model this data in order to better understand key biological processes.


Discover AI applications in bioinformatics research, such as genome sequencing


As you develop your knowledge of both the bioinformatics and artificial intelligence industries, you’ll explore how different AI concepts are applied in bioinformatics to mathematically interpret biological data and provide statistical information.
You’ll develop your understanding of different cases of AI-based bioinformatics research, including genome sequencing, protein function prediction, and gene expression examination.


Build your AI toolkit for working in bioinformatics


This course will provide you with the AI knowledge and skills you need to apply AI in practice.


You’ll build data analytics and visualisation techniques that you can apply to a range of bioinformatics datasets and explore the latest machine learning concepts like feature engineering and feature learning.


You’ll put your learning into practice at the end of the course when you’ll be asked to organise and summarise data results for an academic paper in bioinformatics that’s fit for publication.


This course is designed for any student, biologist, or researcher who would like to learn the basics of using AI to study bioinformatics data.


You do not need any experience in AI, bioinformatics, or programming.


Waikato Environment for Knowledge Analysis (Weka).


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

Taipei Medical University

Taipei Medical University (TMU), 600 meters away from the world’s tallest green building - Taipei 101 building, has been a leader in Taiwan’s healthcare system for more than half a century due to its research, teaching excellence, internationalization and outstanding medical service. TMU has seven colleges including College of Medicine, College of Oral Medicine, College of Pharmacy, College of Public Health and Nutrition, College of Nursing, College of Medical Science and Technology and College of Humanities and Social Sciences and owns three Joint Commission International (JCI)-accredited hospitals with a total capacity of over 3,100 beds. TMU and its three JCI hospitals are the largest and one of the best healthcare systems in the Taipei Metropolitan Area.

TMU leads in quite a few research areas including Cancer, Translational Medicine, Neuroregenerative Medicine, Biomedical Devices and Tissue Engineering, Reproductive Medicine and Biomedical Informatics. TMU has several top-notch research centers such as Center of Excellence for Cancer Research, Center of Excellence for Clinical Trial and Research in Neuroscience, Center of Excellence for Stroke Research, Center of Excellence for Biomedical Implants and Microsurgery Devices. TMU collaborates with many international prestigious universities and institutes on cancer, neurotrauma, nanotechnology and 3D printing research such as National Institutes of Health, Johns Hopkins University, University of Southampton, University of Dundee, University of Liverpool, Aarhus University, University of Washington, University of Tokyo, Academia Sinica, and National Health Research Institutes.

TMU’s commitment to internationalisation has resulted in 36,000 alumni improving healthcare systems in over100 countries around the world. More than 5,500 students from over 31 countries are enrolled in TMU’s seven colleges, and most master’s degree and doctoral programs offer instruction in English. The permanent appointment of the university’s medical teams to assist two African nations (Swaziland and Sao Tome and Principe) provides opportunities for service and learning as well as enhancing Taiwan’s health diplomacy.

 

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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