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A Quantitative First Passage Time Model for Tubular Microfluidic Immunoassays.
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Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Solid-phase immunosorbent reactions, such as ELISA, are widely used for detecting, identifying, and quantifying protein markers. However, traditional centimeter scale well-based immunoreactors suffer from low surface-to-volume (S/V) ratios, leading to large sample consumption and a long assay time. Microfluidic technologies, particularly tubular microfluidic immunoreactors, have emerged as promising alternatives due to their high S/V ratios.
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Proc Natl Acad Sci U S A
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Department of Construction Sciences, Lund University, Lund SE-22100, Sweden.
Preemptive identification of potential failure under loading of engineering structures is a critical challenge. Our study presents an innovative approach to design built-in prefailure indicators within multiscale structural designs with optimized load carrying capabilities utilizing the design freedom of topology optimization. The indicators are engineered to visibly signal load conditions approaching the global critical buckling load at predefined locations.
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Department of Surgical and Medical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Plant viruses pose a significant threat to global agriculture and require efficient tools for their timely detection. We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. The pipeline uses Biopython to automatically retrieve different genomic sequences from the NCBI database to increase the robustness of the subsequent primer design.
View Article and Find Full Text PDFLimited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinical neuroimaging researchers.
PLoS One
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Aston Institute of Health and Neurodevelopment, Aston University, Birmingham, United Kingdom.
Survivors of pediatric brain tumours are at a high risk of cognitive morbidity. Reliable individual-level predictions regarding the likelihood, degree, and affected domains of cognitive impairment would be clinically beneficial. While established risk factors exist, quantitative MRI analysis may enhance predictive value, above and beyond current clinical risk models.
View Article and Find Full Text PDFMeasuring adaptive expertise and adaptive performance in (becoming) healthcare professionals: a scoping review of measurement instruments.
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University Medical Center Utrecht, Utrecht, The Netherlands.
Professional work in healthcare is increasingly disruptive, requiring professionals to be flexible and adaptable. Research on adaptive expertise and adaptive performance in healthcare has grown, and operationalisation and measurement of these concepts are crucial to meet professionals' evolving needs. This study provides an overview of measurement instruments for adaptive expertise and adaptive performance in (becoming) healthcare professionals, including an evaluation of their operationalisations and the amount of evidence supporting their quality.
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