Browsing Medicine Research by Subject "Machine learning"
Now showing items 1-7 of 7
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Artificial intelligence in sickle disease
( Churchill Livingstone , 2023 , Article Review)Artificial intelligence (AI) is rapidly becoming an established arm in medical sciences and clinical practice in numerous medical fields. Its implications have been rising and are being widely used in research, diagnostics, ... -
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
( Springer , 2021 , Article)COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce ... -
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
( Springer Nature , 2022 , Article)Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like the skull and pelvis display distinct morphological traits that are based ... -
Methodological considerations for identifying multiple plasma proteins associated with all-cause mortality in a population-based prospective cohort
( Nature Research , 2021 , Article)Novel methods to characterize the plasma proteome has made it possible to examine a wide range of proteins in large longitudinal cohort studies, but the complexity of the human proteome makes it difficult to identify robust ... -
Precision classification and quantitative analysis of bacteria biomarkers via surface-enhanced Raman spectroscopy and machine learning
( Elsevier , 2024 , Article)The SERS spectra of six bacterial biomarkers, 2,3-DHBA, 2,5-DHBA, Pyocyanin, lipoteichoic acid (LTA), Enterobactin, and β-carotene, of various concentrations, were obtained from silver nanorod array substrates, and the ... -
Protein glycation – biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine
( Elsevier , 2021 , Article)Protein glycation provides a biomarker in widespread clinical use, glycated hemoglobin HbA1c (A1C). It is a biomarker for diagnosis of diabetes and prediabetes and of medium-term glycemic control in patients with established ... -
Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning
( Elsevier , 2023 , Article)Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western countries, accounting for 25% of cases. ...