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Umetna inteligenca v bioinženirstvu
LEVSTEK, MARCEL (Author), Žnidaršič Plazl, Polona (Mentor) More about this mentor... This link opens in a new window

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Abstract
V času razcveta informacijske tehnologije in velike količine podatkov algoritmi strojnega učenja predstavljajo možno rešitev za številne inženirske izzive. Diplomsko delo vsebuje pregled osnov umetne inteligence in zadnjih prebojev pri njeni implementaciji v bioinženirstvu, ki zajema iskanje potencialnih zdravil, pripravo biokatalizatorjev, optimizacijo in avtomatizacijo reakcij ter industrijskih bioprocesov.

Language:Slovenian
Keywords:bioinženirstvo, umetna inteligenca, strojno učenje, digitalni dvojčki, bioinformatika
Work type:Bachelor thesis/paper (mb11)
Tipology:2.11 - Undergraduate Thesis
Organization:FKKT - Faculty of Chemistry and Chemical Technology
Year:2020
COBISS.SI-ID:22836483 Link is opened in a new window
Views:257
Downloads:114
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Secondary language

Language:English
Title:Artificial intelligence in bioengineering
Abstract:
In the age of the information technology boom and big data, machine learning algorithms represent a possible solution to many engineering challenges. The diploma thesis includes a review of the basics of artificial intelligence and the latest breakthroughs in the implementation of it into bioengineering, including the search for potential drug candidates, preparation of biocatalysts, optimization and automation of reactions and industrial bioprocesses.

Keywords:bioengineering, artificial intelligence, machine learning, digital twins, bioinformatics

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