Results 241 to 250 of about 8,148 (311)

Mediated Electrochemical Probing and Machine Learning for Cysteine and Reduced Monoclonal Antibody Quantification

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Biopharmaceutical manufacturing requires robust analytics and process controls throughout production to insure high yield of quality products. New methodologies for rapidly accessing and integrating data‐rich information from complex dynamic biological environments are of great interest.
Kayla Chun   +8 more
wiley   +1 more source

Exploring the Spillover Effect of Supply Chain Digitalisation on Pollution Emissions Through Social Network Analysis

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The supply chain consists of interconnected businesses and organisations responsible for the flow of goods and services. As firms increasingly adopt digital technologies, the spillover effects of supply chain digitalisation (SCD) on environmental performance remain underexplored.
Zengdong Cao   +4 more
wiley   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

open access: yesBiotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Adipocytes in Aortic Stenosis: Association With Clinical and Morphological Indices

open access: yesClinical Anatomy, EarlyView.
ABSTRACT Recently, great attention has been given to understanding the new pathogenetic mechanisms underlying aortic stenosis (AS). The study aims to understand the role of mature adipocytes in AS and their association with histologic, clinical, and echocardiographic data, an area previously overlooked in AS research.
Elena Zoico   +9 more
wiley   +1 more source

Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee

open access: yesChemie Ingenieur Technik, EarlyView.
Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt   +6 more
wiley   +1 more source

Vitamin D ameliorates prediabetic cardiac injure via modulation of the ErbB4/ferroptosis signaling axis. [PDF]

open access: yesFront Immunol
Miao Y   +9 more
europepmc   +1 more source

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