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Abstract Introduction This study aimed to develop a deep learning-based system to automatically assess patient positioning compliance in chest radiographs, focusing on cervical spine visibility, scapular overlap, and cos...

Abstract Traditional medicinal plants play a crucial role in paediatric healthcare, especially in underdeveloped countries where access to modern medicine is limited. This review synthesizes ethnobotanical, pharmacologic...

Abstract Background Entomological outcomes are critical for understanding the biological mechanisms and operational performance of malaria vector control interventions. However, the quality and consistency of how these o...

Abstract Ovarian cancer is one of the deadliest gynecological malignancies, mainly because of its silent development and the lack of effective conventional methods for diagnosis. Because of their extraordinary stabilit...

Abstract Background Xenomonitoring is an approach of epidemiological infection risk assessment addressing vector-transmitted infections like malaria in hematophagous arthropods. Standardization and automation can facilit...

Abstract Background Since 1990, the survival rate of very preterm (VP) infants (born 

Abstract Background/objectives Cardiovascular diseases (CVDs), particularly myocardial infarction (MI) and heart failure (HF), remain global causes of morbidity and mortality, despite the current treatment options. Stem ...

Abstract Bone defects present significant challenges in clinical practice due to the limitations of traditional treatments. Compared to traditional cell therapies, exosome-based therapies have emerged as a promising alte...

Abstract Background Electrical stimulation of cell culture systems has shown significant potential benefits, attracting growing interest in bioelectrical research and tissue engineering. However, implementing effective s...

Abstract Chenopodioideae plants are dominant components of desert ecosystems in arid regions of China and Central Asia and play key roles in maintaining ecosystem stability, while also providing valuable systems for unde...

Abstract Background Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with rising global prevalence. Current management strategies predominantly address behavioral symptoms rather than core neurobi...

Abstract High-throughput omics technologies have transformed our understanding of female reproductive biology, revealing molecular interactions governing oocyte maturation, ovarian reserve, endometrial receptivity, and e...

Abstract Inflammatory diseases remain a major clinical challenge due to their complex pathologies and the limitations of current anti-inflammatory therapies. Conventional treatments, such as non-steroidal anti-inflammato...

Abstract Background Chronic conditions cause millions of deaths annually worldwide. Remote patient monitoring using wearable devices and sensors, combined with machine learning (ML), offers promising strategies for disea...

Abstract Background Quantitative structure-activity relationship (QSAR) models are central to computer-aided drug discovery and predictive toxicology, but practical adoption is often impeded by ad-hoc tooling, inconsiste...

Abstract Background Programmed death-ligand 1 (PD-L1) is widely used as a predictive biomarker for response to immune checkpoint inhibitors in gastric cancer (GC); however, its independent prognostic value for overall su...