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AI and Data Analytics in Physiology and Biomedicine

Module code: BIO729P

Credits: 15.0
Semester: SEM2

Contact: Dr Mohamed Elbadawi

This module will provide you an overview of successes and limitations of applications of artificial intelligence (AI) in physiology and biomedicine. It will cover a wide range of topics such as image diagnostic tools, medial risk assessment and prognosis, individualised medicine, drug discovery, protein folding, and classification of microbial communities. Selected examples are developed in depth in both lectures and practicals. Social, ethical, and economic implications are discussed.

Connected course(s): UDF DATA
Assessment: 100.0% Coursework
Level: 7

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