This chapter describes two methods for fabricating microarrays of saccharides for display and interrogation with binding proteins, using fluorescence detection. The first approach is based on the rapid immobilization of heparan sulphate glycans upon commercially available aminosilane slides via their reducing ends. The second approach is based on the use of a hydrazide-derivatized self-assembled monolayer (SAM) on a gold-coated slide surface. Both provide for efficient and chemoselective attachment and anchoring of oligosaccharide probes via their reducing ends, enabling the large-scale arraying of natural saccharides without cumbersome pre-derivatization. The latter platform, in particular, also has the potential for use with other biophysical readout methods including matrix-assisted laser desorption/ionization time-of-flight mass spectroscopy, surface plasmon resonance, and quartz crystal microbalances. These microarray platforms provide a facile approach for interrogating multiple carbohydrate-protein interactions in a high-throughput manner using minimal quantities of reagents. They provide an essential new experimental strategy in the growing armoury of the glycomics toolkit.
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Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFEnviron Technol
January 2025
Centre for Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Biokinetic models can optimise pollutant degradation and enhance microbial growth processes, aiding to protect ecosystem protection. Traditional biokinetic approaches (such as Monod, Haldane, etc.) can be challenging, as they require detailed knowledge of the organism's metabolism and the ability to solve numerous kinetic differential equations based on the principles of micro, molecular biology and biochemistry (first engineering principles) which can lead to discrepancies between predicted and actual degradation rates.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Background: Mental health concerns have become increasingly prevalent; however, care remains inaccessible to many. While digital mental health interventions offer a promising solution, self-help and even coached apps have not fully addressed the challenge. There is now a growing interest in hybrid, or blended, care approaches that use apps as tools to augment, rather than to entirely guide, care.
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