Latest AI and machine learning research in steroids for healthcare professionals.
Fungal secondary metabolites (SMs) represent a vast reservoir of bioactive compounds with immense th...
Immune checkpoint blockade therapy has revolutionized clinical oncotherapy by intercepting immunosup...
Medical predictions, for example, concerning a patient's likelihood of survival, can be used to effi...
Osteoporosis is widespread with a high incidence rate, resulting in fragility fractures which are a ...
PURPOSES: Predicting intravenous glucocorticoid (IVGC) efficacy in thyroid eye disease (TED) is vita...
Osteoporosis, a prevalent skeletal disorder, necessitates accurate and accessible diagnostic tools f...
Overtraining syndrome (OTS) poses a critical challenge in youth soccer, particularly during periods ...
To better understand the consequences of stress in realistic scenarios, police cadets were tasked wi...
Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine ...
Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...
BACKGROUND: Epidemiological studies on idiopathic nephrotic syndrome (INS) in children have identifi...
Machine learning drives osteoporosis detection and screening with higher clinical accuracy and acces...
BACKGROUND: Tuberculosis spondylitis (TS), also known as Pott's disease, is the most common destruct...
BACKGROUND & AIMS: Liver regeneration is essential for recovery following injury, but this process c...
Breast cancer (BC) is a heterogeneous disease with diverse subtypes that influence prognosis and tre...
OBJECTIVE: Despite the established association between chronic obstructive pulmonary disease (COPD) ...
Bladder cancer is the fourth most common malignant tumor in men, with limited therapeutic biomarkers...
INTRODUCTION: Fluticasone propionate (FP) is a topical corticosteroid used to treat rhinosinusitis w...
The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes,...
BACKGROUND: Artificial intelligence (AI) is becoming more integrated into healthcare, with large lan...
PURPOSE: This study aims to comprehensively explore the metabolic features related to the pathogenes...