TGFBI as a candidate biomarker for non-invasive diagnosis of early-stage endometriosis.
Sign Up to like & getrecommendations! Published in 2023 at "Human reproduction"
DOI: 10.1093/humrep/dead091
Abstract: STUDY QUESTION Can cartilage oligomeric matrix protein (COMP) and transforming growth factor-β-induced protein ig-h3 (TGFBI) alone or in combination with cancer antigen 125 (CA-125) be considered as potential blood biomarkers of endometriosis? SUMMARY ANSWER The… read more here.
Keywords: endometriosis; tgfbi; non invasive; auc value ... See more keywords
Clinical role of miR-421 as a novel biomarker in diagnosis of gastric cancer patients
Sign Up to like & getrecommendations! Published in 2022 at "Medicine"
DOI: 10.1097/md.0000000000029242
Abstract: Abstract Background: Gastric cancer (GC) has been identified as one of the most common malignancies. It was found that microRNAs can be used as potential biomarkers for GC diagnosis. The aim of this study was… read more here.
Keywords: dor auc; auc value; gastric cancer; mir ... See more keywords
Severity-stratification of interstitial lung disease by deep learning enabled assessment and quantification of lesion indicators from HRCT images
Sign Up to like & getrecommendations! Published in 2024 at "Journal of X-Ray Science and Technology"
DOI: 10.3233/xst-230218
Abstract: BACKGROUND: Interstitial lung disease (ILD) represents a group of chronic heterogeneous diseases, and current clinical practice in assessment of ILD severity and progression mainly rely on the radiologist-based visual screening, which greatly restricts the accuracy… read more here.
Keywords: deep learning; lung disease; interstitial lung; lesion indicators ... See more keywords
Identification of People with Diabetes Treatment through Lipids Profile Using Machine Learning Algorithms
Sign Up to like & getrecommendations! Published in 2021 at "Healthcare"
DOI: 10.3390/healthcare9040422
Abstract: Diabetes incidence has been a problem, because according with the World Health Organization and the International Diabetes Federation, the number of people with this disease is increasing very fast all over the world. Diabetic treatment… read more here.
Keywords: diabetes treatment; machine learning; treatment; learning algorithms ... See more keywords