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Predicting HIV drug resistance using machine learning
Published:
12 April 2022
by MDPI
in MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
congress USE.DAT-08: USA-Europe Data Analysis Trends Congress, Cambridge, UK-Bilbao, Basque Country-Miami, USA, 2022.
Abstract:
Human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS) is one of the major burdens of disease in developing countries, and the standard-of-care treatment includes prescribing antiretroviral drugs. Although 23 different drugs have been available, the treatment of AIDS remains challenging because the virus mutates very quickly which can lead to drug resistance. Predicting drug resistance before treatment is crucial for individual treatments. Taking that into account, different investigations undertaken with machine learning will be discussed.
Keywords: Artificial Intelligence; HIV; Drug resistance; Machine Learning
Comments on this paper
Shan He
2 January 2023
Dear authors thank you for your support to the conference.
Now we closed the publication phase and launched the post-publication phase of the conference. REVIEWWWERS'08 Brainstorming Workshop is Now Open from 2023-Jan-01 to 2023-Jan-31. MOL2NET Committee, Authors, and Validated Social Media Followers Worldwide are ... Invited to Post Moderated Questions/Answers, Comments, about papers. Please kindly post your public Answers (A) to the following questions in order to promote interchange of scientific ideas. These are my Questions (Q) to you:
Q1. What machine learning techniques have been tested in different investigations?
Q2. What common conclusions have these authors reached regarding the best HIV drug resistance ?
Dear author thanks in advance for your kind support answering the questions. Now, please become a verified REVIEWWWER of our conference by making questions to other papers in different Mol2Net congresses. Commenting Steps: Login, Go to Papers List, Select Paper, Write Comment, Click Post Comment.
Papers list: https://mol2net-08.sciforum.net/presentations/view,
Workshop link: https://mol2net-08.sciforum.net/#reviewwwers
Now we closed the publication phase and launched the post-publication phase of the conference. REVIEWWWERS'08 Brainstorming Workshop is Now Open from 2023-Jan-01 to 2023-Jan-31. MOL2NET Committee, Authors, and Validated Social Media Followers Worldwide are ... Invited to Post Moderated Questions/Answers, Comments, about papers. Please kindly post your public Answers (A) to the following questions in order to promote interchange of scientific ideas. These are my Questions (Q) to you:
Q1. What machine learning techniques have been tested in different investigations?
Q2. What common conclusions have these authors reached regarding the best HIV drug resistance ?
Dear author thanks in advance for your kind support answering the questions. Now, please become a verified REVIEWWWER of our conference by making questions to other papers in different Mol2Net congresses. Commenting Steps: Login, Go to Papers List, Select Paper, Write Comment, Click Post Comment.
Papers list: https://mol2net-08.sciforum.net/presentations/view,
Workshop link: https://mol2net-08.sciforum.net/#reviewwwers
