Latest AI and machine learning research in steroids for healthcare professionals.
PURPOSE: Thyroid eye disease (TED) primarily occurs in hyperthyroid patients, sometimes resulting in...
The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for imm...
BACKGROUND: Osteoporosis is one of the most common metabolic diseases that is characterized by a dec...
Fall is a common adverse event among older adults. This study aimed to identify essential fall facto...
BACKGROUND: Osteoporosis (OP) is a condition that significantly decreases bone density and strength,...
Machine learning can be used to identify risk factors associated with graft rejection after corneal ...
This study emphasizes the importance of early detection of osteonecrosis of the femoral head (ONFH) ...
In this narrative review, we address the ongoing challenges of lung cancer (LC) screening using ches...
The bi-annual international congress on autoimmunity is a huge opportunity for the medical community...
PURPOSE: Fragility fractures associated with osteoporosis and osteopenia are a common cause of morbi...
INTRODUCTION: The problem of population aging is intensifying worldwide. Osteoporosis has become an ...
BACKGROUND: Dual-energy computed tomography (DECT) has demonstrated the feasibility of using HAP-wat...
PURPOSE: Osteoporosis, affecting over 200 million individuals, often remains unrecognized and untrea...
There is limited evidence that heavy metals exposure contributes to osteoporosis. Multi-parameter sc...
BACKGROUND: Glioma is a highly heterogeneous and poorly immunogenic malignant tumor, with limited ef...
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...
BACKGROUND/AIM: Sarcoidosis is a multisystem disorder that affects many organs, including the kidney...
Non-steroidal anti-inflammatory drugs (NSAIDs), glucocorticoids, and other immunosuppressants are co...
This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituit...
The COVID-19 virus has impacted people worldwide, causing significant changes in their lifestyles. ...