Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home by Ying Zhang (40767)

“…Through dual chemical reactions, the system eliminates the need for nucleic acid extraction and purification, simplifying sample preparation and obviating the reliance on heating equipment. …”

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home by Ying Zhang (40767)

“…Through dual chemical reactions, the system eliminates the need for nucleic acid extraction and purification, simplifying sample preparation and obviating the reliance on heating equipment. …”

Data Sheet 1_Role of intercellular interactions on single cell and population level responses: considerations for multicellular bioreporter design.docx by Douglas Lin (10309772)

“…The algorithm was used to simulate multiple cells in a reaction network in which a self-promoting and membrane permeable transcription factor also induces production of a cell-bound reporter protein. …”

Table 1_Role of intercellular interactions on single cell and population level responses: considerations for multicellular bioreporter design.xlsx by Douglas Lin (10309772)

“…The algorithm was used to simulate multiple cells in a reaction network in which a self-promoting and membrane permeable transcription factor also induces production of a cell-bound reporter protein. …”

Data Sheet 1_Mechanism of action and experimental validation of key genes common to diabetic retinopathy and coronary heart disease based on multiple bioinformatics investigations.... by Fanli Jiang (20900027)

Data Sheet 1_Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned.pdf by Marketa Ciharova (8991782)

“…Stress monitoring may be supported by valid and reliable machine-learning algorithms. However, investigation of algorithms detecting stress severity on a continuous scale is missing due to high demands on data quality for such analyses. …”

<b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b> by yuan sun (20399105)

“…However, there are still many deficiencies in clinical detection. In this article, we aimed to identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN) by metabolomics studies and machine learning algorithms.…”

Table 1_Identification of crosstalk genes and diagnostic biomarkers in systemic sclerosis associated sarcopenia through integrative analysis and machine learning.docx by Yanfang Wu (206076)

“…Immune infiltration analysis revealed significant correlations between CGs and multiple immune cell populations.</p>Conclusion<p>This study proposes NOX4 and NEK6 as novel biomarkers, offering a non-invasive strategy for the early detection of SSc-associated sarcopenia. …”

<b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b> by yuan sun (20399105)

“…However, there are still many deficiencies in clinical detection. In this article, we aimed to identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN) by metabolomics studies and machine learning algorithms.…”