Publications by authors named "Hubert Krzyslak"
Article Synopsis
- Small cell lung cancer (SCLC) is a highly aggressive cancer with poor survival rates, and current diagnostic methods are invasive and limited.
- This study introduces a new machine learning technique that uses metabolomics data to distinguish between SCLC, non-small cell lung cancer (NSCLC), and healthy individuals, achieving high accuracy in classification.
- Key metabolites were identified as important predictors, and the stacking ensemble model effectively combines different classifiers, providing a promising non-invasive alternative for early lung cancer detection.
Atherosclerosis, a leading cause of coronary artery disease (CAD), is heavily influenced by hypercholesterolemia (HC). Proteomics research has shown promise in identifying biological markers for CAD diagnosis and prognosis. This cross-sectional study aimed to identify novel biomarkers for detecting HC and CAD.
View Article and Find Full Text PDFHypertension is a pervasive and widespread health condition that poses a significant risk factor for cardiovascular disease, which includes conditions such as heart attack, stroke, and heart failure. Despite its widespread occurrence, the exact cause of hypertension remains unknown, and the mechanisms underlying the progression from prehypertension to hypertension require further investigation. Recent proteomic studies have shown promising results in uncovering potential biomarkers related to disease development.
View Article and Find Full Text PDFThe accurate diagnosis of small-cell lung cancer (SCLC) is crucial, as treatment strategies differ from those of other lung cancers. This systematic review aims to identify proteins differentially expressed in SCLC compared to normal lung tissue, evaluating their potential utility in diagnosing and prognosing the disease. Additionally, the study identifies proteins differentially expressed between SCLC and large cell neuroendocrine carcinoma (LCNEC), aiming to discover biomarkers distinguishing between these two subtypes of neuroendocrine lung cancers.
View Article and Find Full Text PDFExcessive skin scarring affects over 100 million patients worldwide, with effects ranging from cosmetic to systemic problems, and an effective treatment is yet to be found. Ultrasound-based therapies have been used to treat a variety of skin disorders, but the exact mechanisms behind the observed effects are still unclear. The aim of this work was to demonstrate the potential of ultrasound for the treatment of abnormal scarring by developing a multi-well device based on printable piezoelectric material (PiezoPaint™).
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