Machine Intelligence in Digital Pathology: Towards Personalized Medicine for Better Healthcare


Ahmad Fauzi, Mohammad Faizal (2020) Machine Intelligence in Digital Pathology: Towards Personalized Medicine for Better Healthcare. Suara TEEAM (79). p. 47.

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An article written by Assoc. Prof. Dr. Mohammad Faizal Ahmad Fauzi, entitled “Machine Intelligence in Digital Pathology: Towards Personalised Medicine for Better Healthcare” published in the 79th Issue of SUARA TEEAM recently. The article discusses digital pathology, which is currently regarded as one of the most promising avenues of diagnostic medicine, and how machine intelligence in digital pathology can help paves the way towards the era of personalized medicine. This publication reflected on Dr. Faizal’s professional expertise and knowledge in the biomedical informatics field as well as recorded recognition for the Faculty of Engineering and Multimedia University (MMU). TEEAM or known as The Electrical and Electronics Association of Malaysia is a representative body of the electrical and electronics industries in Malaysia. Established in 1952, TEEAM works closely with all government departments, statutory bodies, and the private sector to promote the electrical and electronics industries.

Item Type: Article
Uncontrolled Keywords: Machine Intelligence, Artificial intelligence
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA329-348 Engineering mathematics. Engineering analysis
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 18 Aug 2021 07:32
Last Modified: 18 Aug 2021 07:32


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