AIMC Topic: Biotechnology
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Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN).
Ultrasonics sonochemistry
Jan 20, 2015
The present study estimates the prediction capability of response surface methodology (RSM) and artificial neural network (ANN) models for biodiesel synthesis from sesame (Sesamum indicum L.) oil under ultrasonication (20 kHz and 1.2 kW) using barium...
Promoting lignocellulosic biorefinery by machine learning: progress, perspectives and challenges.
Bioresource technology
Jul 1, 2025
The lignocellulosic biorefinery involves pretreatment, enzymatic hydrolysis, mixed sugar fermentation, and optional anaerobic digestion. This pipeline could be effectively implemented through machine learning (ML)-guided process optimization and stra...
[Mesoscale simulation and AI optimization of bioprocesses].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Mar 25, 2025
As green, sustainable, and environmentally friendly material processing processes using biological cells or enzymes to achieve substance conversion, bioprocesses play an increasingly important role in biomanufacturing. It is difficult to optimize bio...
[Databases, knowledge bases, and large models for biomanufacturing].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Mar 25, 2025
Biomanufacturing is an advanced manufacturing method that integrates biology, chemistry, and engineering. It utilizes renewable biomass and biological organisms as production media to scale up the production of target products through fermentation. C...
Microbial Technologies Enhanced by Artificial Intelligence for Healthcare Applications.
Microbial biotechnology
Mar 1, 2025
The combination of artificial intelligence (AI) with microbial technology marks the start of a major transformation, improving applications throughout biotechnology, especially in healthcare. With the capability of AI to process vast amounts of biolo...
Regulating Innovation: Addressing the Challenges of Canada's Health-Tech Sector.
Studies in health technology and informatics
Feb 18, 2025
The Canadian health-tech sector faces regulatory challenges amidst rapid innovations in artificial intelligence (AI), digital health, biotechnology, and medical devices. This paper explores the regulatory landscape based on stakeholder interviews and...
PanKB: An interactive microbial pangenome knowledgebase for research, biotechnological innovation, and knowledge mining.
Nucleic acids research
Jan 6, 2025
The exponential growth of microbial genome data presents unprecedented opportunities for unlocking the potential of microorganisms. The burgeoning field of pangenomics offers a framework for extracting insights from this big biological data. Recent a...
Implications of An Evolving Regulatory Landscape on the Development of AI and ML in Medicine.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2025
The rapid advancement of artificial intelligence and machine learning (AI/ML) technologies in healthcare presents significant opportunities for enhancing patient care through innovative diagnostic tools, monitoring systems, and personalized treatment...
[Opportunities and challenges for fermentation optimization and scale-up technology in the artificial intelligence era].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Nov 25, 2022
Artificial intelligence (AI) technology is booming up a new industrial revolution, and its successful application is rapidly spreading from the information industry to many other fields. The traditional fermentation industry also faces more opportuni...
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