Results 191 to 200 of about 5,113 (259)

Digital innovation for a greener future: the role of artificial intelligence in Europe's biofuel transition

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract This study investigates the relationship between artificial intelligence (AI) development and biofuel production using a balanced panel dataset of 12 European Union (EU) countries over the 2008–2024 period. Employing feasible generalized least squares (FGLS) estimation with distributed lag specifications, the analysis controls for Renewable ...
Tufan Sarıtaş   +3 more
wiley   +1 more source

From anthelmintic to neuro‐oncology: A systematic review of mebendazole repurposing for brain tumour therapy

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Mebendazole (MBZ), a benzimidazole anthelmintic with established clinical use, has emerged as a repurposing candidate for primary brain tumours due to its multimodal anticancer actions and central nervous system penetrance. This systematic review synthesizes preclinical and clinical evidence evaluating MBZ's efficacy, mechanisms of action ...
Ciara B. Blum   +5 more
wiley   +1 more source

An AI-powered smart Agribot for detecting locusts in farmlands using IoT and deep learning. [PDF]

open access: yesSci Rep
Al Reshan MS   +7 more
europepmc   +1 more source

Magnetoelastic Cell Monitoring System for Evaluating the Effects of Surface Chemistry on the Performance of Mesenchymal Stem Cell Growth

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT The recent clinical adoption of cell therapies has increased the need for more efficient, robust, and reproducible manufacturing technologies. Human mesenchymal stromal cells (hMSCs), a major component of the cell and immunotherapeutic market, remain challenging to manufacture at scale because they require surface attachment and are highly ...
William S. Skinner   +7 more
wiley   +1 more source

Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling

open access: yesBiotechnology and Bioengineering, EarlyView.
Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro   +3 more
wiley   +1 more source

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