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| http://dx.doi.org/10.3389/fcell.2024.1497689 | DOI Listing |
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Division of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, PR China.
Lignocellulose bio-refinery via microbial cell factories for chemical production represents a renewable and sustainable route in response to resource starvation and environmental concerns. However, the challenges associated with the co-utilization of xylose and glucose often hinders the efficiency of lignocellulose bioconversion. Here, we engineered yeast to effectively produce free fatty acids from lignocellulose.
View Article and Find Full Text PDFILCOR World Restart a Heart - Spreading global CPR awareness and empowering communities to save lives since 2018.
Resusc Plus
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Emergency Department, Calderdale & Huddersfield NHS Trust, Halifax, UK.
The International Liaison Committee on Resuscitation (ILCOR) World Restart a Heart (WRAH) Initiative is helping to save countless lives by promoting a culture of preparedness and encouraging widespread lay cardiopulmonary resuscitation (CPR) training. In total from 2018 to 2023 at least 12.6 million people were trained, and 570.
View Article and Find Full Text PDFA novel machine learning based framework for developing composite digital biomarkers of disease progression.
Front Digit Health
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Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, United States.
Background: Current methods of measuring disease progression of neurodegenerative disorders, including Parkinson's disease (PD), largely rely on composite clinical rating scales, which are prone to subjective biases and lack the sensitivity to detect progression signals in a timely manner. Digital health technology (DHT)-derived measures offer potential solutions to provide objective, precise, and sensitive measures that address these limitations. However, the complexity of DHT datasets and the potential to derive numerous digital features that were not previously possible to measure pose challenges, including in selection of the most important digital features and construction of composite digital biomarkers.
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