AIMC Topic: Female
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Artificial intelligence-assisted longitudinal assessment of coronary artery calcification in the Korean lung cancer screening CT program.
Clinical imaging
Jul 6, 2025
PURPOSE: The clinical implications of coronary artery calcification (CAC) growth remain underexplored. This study aims to assess CAC growth and its association with adverse cardiovascular events (ACEs) in individuals undergoing lung cancer screening ...
A computational study of cardiac glycosides from Vernonia amygdalina as PI3K inhibitors for targeting HER2 positive breast cancer.
Journal of computer-aided molecular design
Jul 6, 2025
The PI3K/Akt pathway plays a crucial role in regulating a broad network of proteins involved in the proliferation of HER2-positive breast cancer. The ethyl acetate fraction of Vernonia amygdalina, which contains cardiac glycosides, has been shown to ...
Breast Neoplasms
Molecular Docking Simulation
Class I Phosphatidylinositol 3-Kinases
Phosphatidylinositol 3-Kinases
Phosphoinositide-3 Kinase Inhibitors
Humans
Molecular Dynamics Simulation
Cardiac Glycosides
Machine Learning
Receptor, ErbB-2
Female
Quantitative Structure-Activity Relationship
Protein Kinase Inhibitors
The application of improved AFCNN model for children's psychological emotion recognition.
Scientific reports
Jul 6, 2025
Children's mental health has become an increasingly prominent concern in modern education. However, insufficient attention from schools and families to children's psychological and emotional issues has exacerbated the problem. This study proposes a p...
GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women.
The international journal of behavioral nutrition and physical activity
Jul 6, 2025
BACKGROUND: Increasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such as satellite-based vegetation indices around the residence, which fail to capture ground-level views and da...
Machine learning models to predict the zero-fragment rate and lower pole access with FANS during flexible Ureteroscopy-an EAU section of endourology study.
World journal of urology
Jul 6, 2025
INTRODUCTION: Suction devices such as flexible and navigable suction ureteral access sheath (FANS) are promising tools to reach the zero-fragment rate (ZFR) after flexible ureteroscopy (FURS) and laser lithotripsy. FANS could especially be useful for...
Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn's disease.
Annals of medicine
Jul 5, 2025
BACKGROUND: Crohn's disease (CD) is a chronic inflammatory bowel disease, with infliximab (IFX) commonly used for treatment. However, no clinically applicable model currently exists to predict the response of patients with CD to IFX therapy. Given th...
Leveraging machine-learning techniques to detect recurrences in cancer registry data: A multi-registry validation study using German lung cancer data.
European journal of cancer (Oxford, England : 1990)
Jul 5, 2025
BACKGROUND: Cancer recurrence and progression, once seen as markers of poor prognosis, are now considered manageable aspects of long-term care. Advances in treatment have extended survival, emphasizing the need for representative epidemiological info...
Developing age-specific protocols for pediatric voice databases in artificial intelligence research.
International journal of pediatric otorhinolaryngology
Jul 5, 2025
INTRODUCTION: Children's voice and communication abilities evolve with age, necessitating tailored protocols for accurate analysis. Distinct vocal properties and communication styles across developmental stages require specific tasks. The absence of ...
Association between continuous glucose monitoring metrics and metabolic dysfunction-associated steatotic liver disease in adults with type 1 diabetes undergoing vibration-controlled transient elastography: a multicenter cross-sectional study.
Diabetes & metabolism
Jul 5, 2025
BACKGROUND: There is uncertainty regarding the association between continuous glucose monitoring (CGM), derived glycemic metrics, and metabolic dysfunction-associated steatotic liver disease (MASLD) in individuals with type 1 diabetes (T1D).
A deep learning model for preoperative risk stratification of pancreatic ductal adenocarcinoma based on genomic predictors of liver metastasis.
European journal of cancer (Oxford, England : 1990)
Jul 5, 2025
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) frequently presents with occult metastatic disease which can undermine the benefit of local treatment. Improved preoperative tools may enhance risk stratification.
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