AIMC Topic: Female

Clear Filters Showing 23811 to 23820 of 29210 articles

Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms.

Annals of medicine
OBJECTIVE: We aimed at identifying acute phase biomarkers in Severe Fever with Thrombocytopenia Syndrome (SFTS), and to establish a model to predict mortality outcomes.

Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study.

Clinical and experimental hypertension (New York, N.Y. : 1993)
OBJECTIVES: Sufficient attention has not been given to machine learning (ML) models using longitudinal data for investigating important predictors of new onset of hypertension. We investigated the predictive ability of several ML models for the devel...

Cost-effectiveness of a machine learning risk prediction model (LungFlag) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain.

Journal of medical economics
OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify individuals at high-risk of non-small cell lung cancer (NSCLC) for screening with low-dose computed tomography (LDCT). This study evaluates the cost-effe...

Predictive efficacy of machine-learning algorithms on intrahepatic cholestasis of pregnancy based on clinical and laboratory indicators.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
OBJECTIVES: Intrahepatic cholestasis of pregnancy (ICP), a condition exclusive to pregnancy, necessitates prompt identification and intervention to improve the perinatal outcomes. This study aims to develop suitable machine-learning models for predic...

Dissecting Shared Genetic Architecture of Thoracic Aortic Aneurysm and Aortic Related Traits and Identifying SplA/Ryanodine Receptor Domain and SOCS Box Containing 1 Involved in Smooth Muscle Phenotype Switching and Cell Senescence Through Alternative Splicing.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Machine learning was employed to annotate images of the thoracic aorta, resulting in the identification of additional thoracic-related targets. However, genetic evaluation of the associations among thoracic aortic traits and their shared genes is lac...

A study on sex prediction by using machine algorithms with anthropometric measurements of the seventh cervical vertebra.

Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur
Prediction of sex is among important topics of forensic medicine and forensic anthropology. In studies conducted for sex prediction, pelvis and cranium bones are the most preferred bones. In cases when it is difficult to examine the pelvis and craniu...

Artificial intelligence-based flow cytometry for the diagnosis of B-cell chronic lymphoproliferative disorders.

Blood advances
Accurate diagnosis of B-cell chronic lymphoproliferative disorders (B-CLPDs) remains challenging due to overlapping phenotypes across subtypes. Machine learning (ML) offers promising tools to improve marker evaluation and refine flow cytometry analys...

An AI model classifies risks of early relapse post-CAR T-cell therapy in a multicenter real-world population with DLBCL.

Blood advances
Accumulating real-world (RW) evidence of axicabtagene ciloleucel (axi-cel) has demonstrated comparable performance to that of pivotal trials. However, ∼57% of patients eventually relapse, with most requiring additional therapies. Being able to identi...

From exencephaly to anencephaly: a catastrophic continuum of neural tube defects from embryogenesis to ultrasonographic diagnosis.

Journal of perinatal medicine
INTRODUCTION: Neural tube defects (NTDs) are severe congenital anomalies arising from incomplete closure of the neural tube during early embryogenesis. Among cranial NTDs, exencephaly, acrania, and anencephaly represent a progressive developmental co...