Abstract
Due to the complexity of HIV/AIDS cutting edge machine learning technologies are used for drug delivery and development. In this review drug delivery methods are discussed with machine learning techniques. Combination of both these computational methods will give new hope to enhance the life of HIV infected persons. As these methods are time consuming and easy to interpret than wet lab techniques.
Cite
CITATION STYLE
APA
Dubey, A. (2018). Machine learning approaches in drug development of HIV/AIDS. International Journal of Molecular Biology, 3(1). https://doi.org/10.15406/ijmboa.2018.03.00044
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