AIMC Topic: Biotechnology

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Use of uniform designs in combination with neural networks for viral infection process development.

Biotechnology progress
This work aimed to compare the predictive capacity of empirical models, based on the uniform design utilization combined to artificial neural networks with respect to classical factorial designs in bioprocess, using as example the rabies virus replic...

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
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...

Optimizing Plant Alkaloid Biosynthesis under Drought Stress: Regulatory Mechanisms and Biotechnological Strategies.

Journal of plant physiology
Global climate change exacerbates drought stress, severely affecting plant growth, agricultural productivity, and the biosynthesis of secondary metabolites. Alkaloids, nitrogenous compounds with diverse biological activities, hold substantial medicin...

Promoting lignocellulosic biorefinery by machine learning: progress, perspectives and challenges.

Bioresource technology
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
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
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
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
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
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...