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 …
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 …
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 …
paper studies the social media rumor refutation effectiveness lifecycle (SMRREL), focusing …
Machine learning-guided prediction of potential engineering targets for microbial production of lycopene
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 …
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 …
The production of monoclonal antibodies (mAbs) using Chinese Hamster Ovary (CHO) cells
has revolutionized the treatment of numerous diseases, solidifying their position as a …
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 …
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 …
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 …
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 …
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 …
about a significant transformation in traditional routine clinical laboratory testing. This …