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| http://dx.doi.org/10.3399/bjgp24X738273 | DOI Listing |
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Towards the automatic detection of activities of daily living using eye-movement and accelerometer data with neural networks.
Comput Biol Med
January 2025
Otolaryngology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Colney Lane, Norwich, NR4 7UY, Norfolk, England, United Kingdom.
Early diagnosis of neurodegenerative diseases, such as Alzheimer's disease, improves treatment and care outcomes for patients. Early signs of cognitive decline can be detected using functional scales, which are written records completed by a clinician or carer, detailing a patient's capability to perform routine activities of daily living. For example, tasks requiring planning, such as meal preparation, are some of the earliest affected by early mild cognitive impairment.
View Article and Find Full Text PDFWax-coated dried-milk-spot paper for human milk protein compositional analysis.
Food Chem
December 2024
Laboratory of Organic Chemistry, Wageningen University & Research, P.O. Box 8026, 6700EG, Wageningen, the Netherlands; Wageningen Food Safety Research (WFSR), Wageningen University & Research, P.O. Box 230, 6700AE, Wageningen, the Netherlands. Electronic address:
Studies exploring human milk are often hindered by laborious and costly conventional sampling, resulting in small sample sizes. Here, we implement a paper-based sampling method, dried milk spots (DMS), as an alternative to increase sampling capacity and frequency, primarily tailored for protein compositional analysis. Uncoated paper was unsuited for DMS, with β-casein recovery at 64 ± 1 % and α-lactalbumin at 85 ± 2 % after storage of 14 days.
View Article and Find Full Text PDFTemptation at every corner: exploring public perceptions of food cues and policy support for governmental food cue regulation in outdoor public spaces.
BMC Med
December 2024
Department of Social Sciences, Chair Group Consumption & Healthy Lifestyles, Wageningen University & Research, Hollandseweg 1, Wageningen, 6706KN, the Netherlands.
Background: Unhealthy visual food cues in outdoor public spaces are external drivers of unhealthy diets. Food cues are visible situations associated with food-related memories. This study aimed to gain insight into the (un)healthy food cues residents notice in outdoor public spaces in Dutch municipalities.
View Article and Find Full Text PDFAn overview of additive manufacturing strategies of enzyme-immobilized nanomaterials with application incatalysis and biomedicine.
Int J Biol Macromol
December 2024
School of Chemical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, South Korea; Research Institute of Cell Culture, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, South Korea. Electronic address:
Meticulous and bespoke fabrication of structural materials with simple yet innovative outlines along with on-demand availability is the imperative aspiration for numerous fields. The alliance between nanotechnology and enzymes has led to the establishment of an inimitable and proficient class of materials. With the advancement in the field of additive manufacturing, the fabrication of some complex biological architects is achievable with similitude to the instinctive microenvironment of the biological tissue.
View Article and Find Full Text PDFEnhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation.
SLAS Technol
December 2024
School of science, engineering and environment, University of Salford, United Kingdom. Electronic address:
This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and optimizing healthcare service delivery. Utilizing a vast dataset sourced from a well-established online pharmacy, this research employs sophisticated ML algorithms and cutting-edge NLP techniques to critically analyze medical descriptions and optimize recommendation systems for drug prescriptions and patient care management. Key technological integrations include BERT embeddings, which provide nuanced contextual understanding of complex medical texts, and cosine similarity measures coupled with TF-IDF vectorization to significantly enhance the precision and reliability of text-based medical recommendations.
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