Dougal Ferguson
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View article: Prognostic Significance of PTEN Loss in Prostate Cancer: A Meta-Analysis of Gleason Grade and Clinical Outcomes
Prognostic Significance of PTEN Loss in Prostate Cancer: A Meta-Analysis of Gleason Grade and Clinical Outcomes Open
Aims: Prostate cancer (PCa) presents ongoing challenges in differentiating aggressive from indolent disease using traditional biomarkers such as prostate-specific antigen (PSA). The Phosphatase and Tensin Homolog (PTEN), a key tumour suppr…
View article: Identification of at-risk prostate cancer patients using Fourier transform infrared spectroscopy and machine learning
Identification of at-risk prostate cancer patients using Fourier transform infrared spectroscopy and machine learning Open
Fourier Transform Infrared Spectroscopy (FTIR) has been shown to be a useful tool to complement the histopathological assessment of biomedical tissue samples, allowing for diagnostic and prognostic applications based solely on chemical ima…
View article: Insights into the cellular lipid cascade of prostate cells explored using infrared microspectroscopy
Insights into the cellular lipid cascade of prostate cells explored using infrared microspectroscopy Open
Arachidonic acid uptake across invasive and non-invasive prostate cancer cell lines is tracked using infrared microspectroscopy, showing key differences in uptake between the cell types, highlighting differences in metabolomic processes.
View article: Full fingerprint hyperspectral imaging of prostate cancer tissue microarrays within clinical timeframes using quantum cascade laser microscopy
Full fingerprint hyperspectral imaging of prostate cancer tissue microarrays within clinical timeframes using quantum cascade laser microscopy Open
A QCL microscope is compared to a state-of-the-art FTIR system and is found to capture prostate tissue data twenty times faster, with greater signal to noise, and improved tissue classification, paving the way for clinical adoption.
View article: Weakly supervised anomaly detection coupled with Fourier transform infrared (FT-IR) spectroscopy for the identification of non-normal tissue
Weakly supervised anomaly detection coupled with Fourier transform infrared (FT-IR) spectroscopy for the identification of non-normal tissue Open
A novel weakly supervised anomaly detection machine learning method is used to identify non-normal tissue subgroups, interferents, and other tissue components in IR Micro-spectroscopy liver tissue data when trained on a single control grou…
View article: Infrared micro-spectroscopy coupled with multivariate and machine learning techniques for cancer classification in tissue: a comparison of classification method, performance, and pre-processing technique
Infrared micro-spectroscopy coupled with multivariate and machine learning techniques for cancer classification in tissue: a comparison of classification method, performance, and pre-processing technique Open
A meta-analysis of various multivariate/Machine Learning (ML) classifiers trained on IR Micro-spectroscopy tissue datasets for cancer classification are directly compared using a calculated F 1 -Score metric alongside study pre-processing …