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AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.
J Med Internet Res
January 2025
Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Background: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms. Current diagnostic methods, including clinical assessments and laboratory tests, frequently lack the speed and specificity needed for timely intervention, particularly in vulnerable populations such as older adults, intensive care unit (ICU) patients, and those with compromised immune systems.
View Article and Find Full Text PDFDetection and analysis of Serpin and RP26 specific antibodies for monitoring Schistosoma haematobium transmission.
PLoS Negl Trop Dis
January 2025
Department of Parasitology, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Background: Schistosoma haematobium is the causative pathogen for urogenital schistosomiasis. To achieve progress towards schistosomiasis elimination, there is a critical need for developing highly sensitive and specific tools to monitor transmission in near-elimination settings. Although antibody detection is a promising approach, it is usually unable to discriminate active infections from past ones.
View Article and Find Full Text PDFA Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects.
J Imaging
January 2025
Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
The increasing reliance on deep neural network-based object detection models in various applications has raised significant security concerns due to their vulnerability to adversarial attacks. In physical 3D environments, existing adversarial attacks that target object detection (3D-AE) face significant challenges. These attacks often require large and dispersed modifications to objects, making them easily noticeable and reducing their effectiveness in real-world scenarios.
View Article and Find Full Text PDFLarge language model based mutations in genetic improvement.
Autom Softw Eng
January 2025
Johannes Gutenberg University Mainz, Mainz, Germany.
Ever since the first large language models (LLMs) have become available, both academics and practitioners have used them to aid software engineering tasks. However, little research as yet has been done in combining search-based software engineering (SBSE) and LLMs. In this paper, we evaluate the use of LLMs as mutation operators for genetic improvement (GI), an SBSE approach, to improve the GI search process.
View Article and Find Full Text PDFDiagnostic value of fasting insulin and insulin-like growth factor-1 levels in girls with central precocious puberty.
J Pediatr Endocrinol Metab
January 2025
117977 The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Objectives: The gonadotropin-releasing hormone (GnRH) provocation test is crucial for diagnosing central precocious puberty (CPP). However, due to its invasion and high cost, it is essential to find a simpler biomarker. This study aimed to investigate the feasibility of fasting insulin (FINS) and insulin-like growth factor-1 (IGF-1) as potential biomarkers for diagnosing girls with CPP and to analyze their effects on puberty development.
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