Latest AI and machine learning research in menopause for healthcare professionals.
Causal inference-assisted machine learning was used to predict photosynthetic bacterial (PSB) protei...
Motor brain-machine interfaces (BMIs) decode neural signals to help people with paralysis move and c...
OBJECTIVE: This review aims to explore the strengths and dilemmas of existing osteoporosis screening...
Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen consi...
INTRODUCTION: Non-alcoholic fatty liver disease (NAFLD) represents a major global health challenge, ...
Regulatory non-coding RNAs (ncRNAs) are increasingly recognized as integral to the control of biolog...
Over 50 million people globally suffer from Alzheimer's disease (AD), emphasizing the need for effic...
BACKGROUND: Non-communicable diseases (NCDs) are a major public health challenge globally, including...
Federated Learning (FL) allows multiple data owners to build high-quality deep learning models colla...
BACKGROUND AND PURPOSE: Radiotherapy (RT) in non-small cell lung cancer (NSCLC) can induce cardiac a...
PURPOSE: Despite the increase in outpatient total knee arthroplasty (TKA) procedures, many patients ...
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotroph...
Molecular dynamics (MD) simulations produce a substantial volume of high-dimensional data, and tradi...
BACKGROUND: The study's objective was to develop an automated method for a histopathology recognitio...
Deep learning-assisted digital pathology has demonstrated the potential to profoundly impact clinica...
Curated online interaction databases and gene ontology tools have streamlined the analysis of highly...
Blood pressure is a very important clinical measurement, offering valuable insights into the hemodyn...
Osteoporosis, a skeletal disorder, is expected to affect 60% of women aged over 50 years. Dual-energ...
OBJECTIVE: Develop a predictive model utilizing weakly supervised deep learning techniques to accura...
BACKGROUND: The sophisticated behavioral and cognitive repertoires of non-human primates (NHPs) make...
PURPOSE: This study aims to seek an optimized deep learning model for differentiating non-traumatic ...