Machine learning framework for wastewater circular economy—Towards smarter nutrient recoveries

A Soo, L Gao, HK Shon - Desalination, 2024 - Elsevier
As the world's supply chains become disrupted through geopolitical instability and the race
towards a net-zero future, policies have been implemented to improve the security of certain …

Reconstitution and optimization of complex plant natural product biosynthetic pathways in microbial expression systems

J Gao, Y Gou, L Huang, J Lian - Current Opinion in Biotechnology, 2024 - Elsevier
Highlights•Microbial expression systems for sustainable production of plant natural
products.•Multiplex genome editing for rapid construction of complex PNP biosynthetic …

A data-driven approach for cell culture medium optimization

Y Ozawa, T Hashizume, BW Ying - Biochemical Engineering Journal, 2024 - Elsevier
Cell culture media are critical for cell propagation and bioproduction to be as efficient as
possible to meet medical and pharmaceutical requirements. However, optimizing medium …

The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?

A Crouzet, N Lopez, B Riss Yaw, Y Lepelletier… - Molecules, 2024 - mdpi.com
The journey of drug discovery (DD) has evolved from ancient practices to modern
technology-driven approaches, with Artificial Intelligence (AI) emerging as a pivotal force in …

Machine learning: an advancement in biochemical engineering

R Saha, A Chauhan, S Rastogi Verma - Biotechnology Letters, 2024 - Springer
One of the most remarkable techniques recently introduced into the field of bioprocess
engineering is machine learning. Bioprocess engineering has drawn much attention due to …

Cascade Catalytic Systems for Converting CO2 into C2+ Products

Q Shi, B Zhang, Z Wu, D Yang, H Wu, J Shi, Z Jiang - ChemSusChem - Wiley Online Library
The excessive emission and continuous accumulation of CO2 have precipitated serious
social and environmental issues. However, CO2 can also serve as an abundant …

[PDF][PDF] Hybrid Quorum Sensing and Machine Learning Systems for Adaptive Synthetic Biology: Toward Autonomous Gene Regulation and Precision Therapies

DA Tuan, PVN Uyen, J Masak - 2024 - preprints.org
Quorum Sensing (QS) and Machine Learning (ML) hybrid systems represent a
groundbreaking innovation in synthetic biology, offering unprecedented control and …