Umetna inteligenca v bioinženirstvu

Levstek, Marcel (author), Žnidaršič Plazl, Polona (mentor)

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
• Typology: 2.11 - Undergraduate Thesis
• Organization: FKKT - Faculty of Chemistry and Chemical Technology
• Year: 2020
• PID: 20.500.12556/RUL-117372
• COBISS.SI-ID: 22836483
• Publication date in RUL: 08.07.2020

LEVSTEK, Marcel, 2020, Umetna inteligenca v bioinženirstvu [online]. Bachelor’s thesis. [Accessed 31 May 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=117372

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