Treatment outcome prediction plays an important role in realizing personalized cancer therapy. In triple-negative breast cancer (TNBC), neoadjuvant chemotherapy (NAC) is widely used to downstage tumors and improve surgical outcomes. In head and neck ... read more
Anterior cruciate ligament (ACL) injuries dramatically impact athletes and sporting organisations. Artificial Intelligence (AI) driven systems, such as those leveraging machine learning (ML) algorithms into wearable devices are showing promise in ort... read more
BACKGROUND: Autism spectrum disorder (ASD) affects approximately 25-50% of children with tuberous sclerosis complex (TSC). Early identification of ASD in this high-risk population is crucial for timely intervention but remains challenging due to the ... read more
BACKGROUND: Postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surgery that is associated with increased morbidity. However, existing risk scores have limited accuracy, highlighting the need for more effective predictio... read more
Traditional sludge moisture content detection methods suffer from response lag and insufficient accuracy within the critical dewatering range of 70%-85%. To address these limitations, this study proposes a novel rapid detection strategy that integrat... read more
Under China's "dual carbon" targets and the forthcoming 15th Five-Year Plan, improving energy efficiency in wastewater treatment plants (WWTPs) is a pressing environmental management challenge, yet the spatial heterogeneity of energy consumption rema... read more
Archives of pathology & laboratory medicine
May 5, 2026
CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of colorectal polypectomy specimens that do not show a lesion on initial hematoxylin-eosin sections is common. However, this practice lacks standardization, a... read more
Archives of pathology & laboratory medicine
May 5, 2026
CONTEXT.—: Advances in computer vision have fueled the development of artificial intelligence (AI)-based algorithms for pathology. AI-assisted approaches may streamline the diagnostic workflow and reduce variability. OBJECTIVE.—: To assess the impact... read more
RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning (ML) model using diuretic ultrasonography to predict the necessity for surgical intervention in children aged 1 month to 18 years with ureteropelvic junction obst... read more
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