When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development

N Duong-Trung, S Born, JW Kim… - Biochemical …, 2023 - Elsevier
Abstract Machine learning (ML) is becoming increasingly crucial in many fields of
engineering but has not yet played out its full potential in bioprocess engineering. While …

Machine learning: a suitable method for biocatalysis

PS Sampaio, P Fernandes - Catalysts, 2023 - mdpi.com
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …

Lifecycle research of social media rumor refutation effectiveness based on machine learning and visualization technology

Z Li, X Du, Y Zhao, Y Tu, B Lev, L Gan - Information Processing & …, 2022 - Elsevier
Rumor refutation is a common method to control rumors to address potential risks. This
paper studies the social media rumor refutation effectiveness lifecycle (SMRREL), focusing …

Machine learning-guided prediction of potential engineering targets for microbial production of lycopene

CK Kang, J Shin, YK Cha, MS Kim, MS Choi… - Bioresource …, 2023 - Elsevier
The process of designing streamlined workflows for developing microbial strains using
classical methods from vast amounts of biological big data has reached its limits. With the …

Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cells: A comparative study of machine learning and systems …

H Kavoni, ISP Savizi, NE Lewis… - Biotechnology Advances, 2024 - Elsevier
The production of monoclonal antibodies (mAbs) using Chinese Hamster Ovary (CHO) cells
has revolutionized the treatment of numerous diseases, solidifying their position as a …

teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering

SD Petersen, L Levassor, CM Pedersen… - PLOS Computational …, 2024 - journals.plos.org
Synthetic biology dictates the data-driven engineering of biocatalysis, cellular functions, and
organism behavior. Integral to synthetic biology is the aspiration to efficiently find, access …

Rapid and non-destructive microbial quality prediction of fresh pork stored under modified atmospheres by using selected-ion flow-tube mass spectrometry and …

L Chen, L Kuuliala, M Somrani, C Walgraeve… - Meat Science, 2024 - Elsevier
Volatile organic compounds (VOCs) indicative of pork microbial spoilage can be quantified
rapidly at trace levels using selected-ion flow-tube mass spectrometry (SIFT-MS). Packaging …

Biocatalytic Functionalities of Lignin Peroxidase-Based Systems in Lignin Depolymerization and Pollutants Removal from Environmental Matrices

AK Singh, R Fernandez-Lafuente, JE Schmidt… - Current Pollution …, 2024 - Springer
Abstract Purpose of Review In the presented review, we have summarized and highlighted
recent developments in the use of lignin peroxidase (LiP) to remove a variety of pollutants …

[HTML][HTML] A systematic discussion and comparison of the construction methods of synthetic microbial community

C Li, Y Han, X Zou, X Zhang, Q Ran, C Dong - Synthetic and Systems …, 2024 - Elsevier
Synthetic microbial community has widely concerned in the fields of agriculture, food and
environment over the past few years. However, there is little consensus on the method to …

Integration of artificial intelligence in clinical laboratory medicine: Advancements and challenges

H Xie, Y Jia, S Liu - Interdisciplinary Medicine, 2024 - Wiley Online Library
Artificial intelligence (AI)‐driven analysis of comprehensive clinical parameters is bringing
about a significant transformation in traditional routine clinical laboratory testing. This …