BACKGROUND: Accurate segmentation of lung cancer lesions in computed tomography (CT) is essential for precise diagnosis, personalized therapy planning, and treatment response assessment. While automatic segmentation of the primary lung lesion has bee... read more
The past decade has witnessed remarkable advancements in autonomous systems, such as automobiles that are evolving from traditional vehicles to ones capable of navigating complex environments without human intervention. Similarly, the rise of self-dr... read more
INTRODUCTION: Developing mass meda campaigns to address rising youth vaping rates in Australia is timely and resource-intensive. Generative AI offers scalable content production, but little is known about youth perceptions of AI-generated multimedia ... read more
Climate change is a global pressing issue that cannot tackle without curbing CO emissions, which are a major contributor to climate change. Therefore, this study investigates the influencing effect of green finance especially in renewable energy, fin... read more
BACKGROUND: Deep learning-based models enable the prediction of molecular biomarkers from histopathology slides of colorectal cancer stained with haematoxylin and eosin; however, few studies have assessed prediction targets beyond microsatellite inst... read more
Granulocyte colony-stimulating factor (G-CSF) has the capacity to enhance brain repair following various injuries to brain. G-CSF treatment after TBI in rodents has been reported to promote brain repair, hippocampal neurogenesis, and behavioral recov... read more
BACKGROUND: Transforming Growth Factor (TGF) and Bone Morphogenetic Protein (BMP) signalling critically influence pancreatic ductal adenocarcinoma (PDAC) progression, with TGF-B paradoxically exerting both tumour-promoting and -suppressive effects. P... read more
Early detection and accurate cancer diagnosis are crucial for improving patient outcomes and survival rates. This review presents a comprehensive and updated synthesis of emerging biomarkers, essential for providing non-invasive, efficient, and relia... read more
Change detection (CD) is the process of acquiring changes in the ground surface by analyzing remotely sensed images of the same location at two different stages. Deep learning is becoming increasingly popular for change detection tasks in remote sens... read more
Rare diseases pose a significant public health challenge, particularly in underserved regions such as China, where genomic diagnostic services and post-diagnosis management remain limited. This study assessed the effectiveness of a rare disease scree... read more
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