Latest AI and machine learning research in menopause for healthcare professionals.
The development and refinement of artificial intelligence (AI) and machine learning algorithms have ...
RATIONALE AND OBJECTIVES: Bronchial artery chemoembolization (BACE) is a new treatment method for lu...
Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation vir...
A substantial portion of lung cancer-associated genetic elements in East Asian populations remains u...
Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of t...
PURPOSE: The aim of this study was to develop a radiomic model to non-invasively predict the risk of...
BACKGROUND AND PURPOSE: To assess the feasibility and accuracy of a deep learning (DL) model to iden...
Computed tomography (CT) is one of the most widely used non-invasive imaging modalities for medical ...
BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrat...
Hazelnut adulteration with ground peanut is a severe health and economic problem. In this study, Fou...
This study used machine learning models to investigate the potential of biosorbents derived from nat...
Although Transformers perform well in time series prediction, they struggle when dealing with real-w...
Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limit...
Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently e...
Many biological decision-making tasks require classifying high-dimensional chemical states. The biop...
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates ...
Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanis...
Machine learning has proven valuable in developing photoplethysmography (PPG)-based approaches for b...
Melt electrowriting (MEW) is an advanced additive manufacturing technique that offers unprecedented ...
Deep neural network (DNN) deployment has been confined to larger hardware devices due to their expen...
Retention time (RT) is essential in evaluating the likelihood of candidate structures in nontarget s...