AIMC Topic: Female

Clear Filters Showing 711 to 720 of 29210 articles

Drug repurposing identifies novel Wee1 kinase inhibitors for triple negative breast cancer therapeutics.

European journal of medicinal chemistry
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options. Wee1 kinase, a critical regulator of the G2/M checkpoint and DNA replication, is a promising therapeutic target. However, dose dependent as...

Association of deep learning-derived optic nerve morphology with Parkinson's disease and drug-induced Parkinsonism: Findings from the LIFE Study.

Journal of the neurological sciences
BACKGROUND: There is a growing need for alternative imaging measures to better understand the neurodegenerative pathology of Parkinson's disease and related conditions, such as drug-induced Parkinsonism. This study investigated the link between optic...

Multi-omics and machine learning identify GBP2 as a key therapeutic target of Qingre Kasen granules in lupus nephritis via NF-kappaB modulation.

Renal failure
Lupus nephritis (LN), a severe renal complication of systemic lupus erythematosus (SLE), results from immune abnormalities. Qingre Kasen granules (QS), which have chicory as the main ingredient, play a significant role in treating various inflammator...

Prognostic Value of a Coronary Computed Tomography Angiography-Derived Ischemia Algorithm: Comparison Against Hybrid Coronary Computed Tomography Angiography/Positron Emission Tomography Imaging.

Journal of the American Heart Association
BACKGROUND: Artificial intelligence-guided quantitative computed tomography ischemia (AI-QCT) is a novel machine-learning method for predicting myocardial ischemia from coronary computed tomography angiography (CCTA). This observational cohort study ...

From dry eye to depression: a machine learning-based framework for predicting adolescent mental health.

BMC medical informatics and decision making
BACKGROUND: Adolescent depression is a major public health concern. Physical health indicators are rarely included in risk tools. We examined whether adding dry eye disease (DED) to psychosocial and behavioral factors improves prediction of depressiv...

Estimation of daily energy requirements using a hybrid artificial intelligence model.

Scientific reports
Accurately estimating energy requirements is critical for individuals to maintain a healthy life. Traditional methods may be time-consuming, complex, low in accuracy, and costly, thus creating a need for new approaches. This study explores the applic...

Efferocytosis-related signatures identified via Single-cell analysis and machine learning predict TNBC outcomes and immunotherapy response.

Scientific reports
Triple-negative breast cancer (TNBC) is characterized by poor prognosis and limited targeted treatment options. Efferocytosis, an essential immune mechanism for the clearance of apoptotic cells, is increasingly recognized as a key contributor to tumo...

Parkinson's disease severity clustering based on gait activity from mobile device.

Scientific reports
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor symptoms, including gait impairments, which significantly affect patient mobility and quality of life. An accurate assessment of the severity of PD is crucial for clinica...

IoT assisted fetal health classification using mother optimization algorithm with deep learning approach on cardiotocogram data.

Scientific reports
The adoption of the Internet of Things (IoT) for the application of smart health is an effective method for distributed and intelligent automated diagnosis systems. Fetal movement is a basic index of fetal well being. IoT based fetal health classific...

Predictors of adjustment to life after service among Canadian military veterans.

Scientific reports
The transition out of military service and into civilian life represents a considerable challenge for many military veterans. In this study we used mixture growth modeling and random forest analysis to examine predictors of adjustment to civilian lif...