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Dr Jennifer May's Outputs (5)

Paper-based lateral flow device for the sustainable measurement of human plasma fibrinogen in low-resource settings (2021)
Journal Article

Fibrinogen concentration is a major determinant of both clotting and bleeding risk. Clotting and bleeding disorders cause extensive morbidity and mortality, particularly in resource-poor and emergency settings. This is exacerbated by a lack of timely... Read More about Paper-based lateral flow device for the sustainable measurement of human plasma fibrinogen in low-resource settings.

Primary mesenchymal stromal cells in co-culture with leukaemic HL-60 cells are sensitised to cytarabine-induced genotoxicity, while leukaemic cells are protected (2021)
Journal Article

Tumour microenvironments are hallmarked in many cancer types. In haematological malignancies, bone marrow (BM) mesenchymal stromal cells (MSC) protect malignant cells from drug-induced cytotoxicity. However, less is known about malignant impact on su... Read More about Primary mesenchymal stromal cells in co-culture with leukaemic HL-60 cells are sensitised to cytarabine-induced genotoxicity, while leukaemic cells are protected.

Shedding smart light on the effectiveness of chemotherapy: using Raman spectroscopy and machine learning to differentiate the effects of Cytarabine toxicity and crosstalk of leukaemic and bone marrow stromal cells (2021)
Presentation / Conference Contribution

Mesenchymal stromal cells (MSC) protect leukaemic cells from drug-induced toxicity within the bone marrow niche, with increasing evidence of leukaemic impact on supportive stroma. The nucleoside analogue, cytarabine (ara-C), is a front-line agent for... Read More about Shedding smart light on the effectiveness of chemotherapy: using Raman spectroscopy and machine learning to differentiate the effects of Cytarabine toxicity and crosstalk of leukaemic and bone marrow stromal cells.

Use of machine learning-enabled scenario-based teaching in Haematology and Biomedical Science, as a replacement and supplement to traditional tools and in-person teaching during COVID-19 (2021)
Presentation / Conference Contribution

One of the biggest challenges during the COVID-19 pandemic has been maintaining student engagement and providing the best learning experience with limited face-to-face (FTF) contact, and social distancing requirements. Whilst multiple tools are avail... Read More about Use of machine learning-enabled scenario-based teaching in Haematology and Biomedical Science, as a replacement and supplement to traditional tools and in-person teaching during COVID-19.