With the continuous advancement of medical laboratory technology, the application of laboratory information management systems in medical testing is becoming increasingly widespread. This article first explores the important value of laboratory information systems in medical laboratory quality control, including optimization and monitoring of testing processes, comprehensive expansion of quality control, and automation and standardization of record management. Detailed explanation of the specific application of laboratory information management system in medical testing, covering quality control of three procedures before, during, and after testing. By implementing information management, comprehensive monitoring and data analysis of the testing process can be achieved, thereby improving the quality and reliability of medical testing. This article aims to emphasize the important role of laboratory information management systems in medical testing, and provide theoretical support and practical guidance for their application in quality control of medical testing.

Objective To investigate the interference of calcium dobesilate on the urine total protein determination test kits (turbidimetric method) and the anti-interference method. Methods (1) According to the national standard WS/ T 416-2013 Interference Test Guide, low, medium, and high concentrations of urine matrix were used to prepare calcium dobesilate interference samples of different concentration gradients, and the urine total protein concentration was detected using the urine total protein determination test kits (turbidimetric method) of Dirui and Roche two factories. The relative deviation between the interference sample and the reference control sample was calculated.(2) The urine matrix was prepared at low, medium, and high concentrations, and the$0\mathrm{{mmol}}/\mathrm{L}$and$1\mathrm{{mmol}}/\mathrm{L}$calcium dobesilate interference samples were prepared using different wavelengths. The urine total protein concentration was determined using the urine total protein determination test kits (turbidimetric method) of Dirui and Roche two factories, and the relative deviation with respect to the${505}\mathrm{\;{nm}}$measurement wavelength was calculated. Results (1) When the calcium dobesilate concentration was${0.4}\mathrm{{mmol}}/\mathrm{L}$, the deviation of the urine total protein detection results in the low and medium concentration urine matrix began to deviate significantly from the acceptable interference range, and the degree of interference on urine total protein detection increased as the calcium dobesilate concentration increased. At the same drug concentration, the greater the urine total protein concentration was, the more obvious the interference was.(2) When the test wavelength was${800}\mathrm{\;{nm}}$, the interference of calcium dobesilate on the Dirui and Roche turbidimetric method urine total protein test kits could be significantly reduced, and the deviation of interference was within the acceptable interference range. Conclusion Calcium dobesilate can produce varying degrees of negative interference on the total protein determination assay (turbidimetry method), which should be taken seriously.

With the expansion of the scale of university laboratories and the complexity of experimental activities, laboratory safety management has become an increasingly important part of campus safety in universities. A comprehensive analysis of the problems in the construction of laboratory safety management system has been conducted, and a new approach to building a laboratory safety management system has been proposed. Starting from the three important chains of laboratory safety access, hazard source management, and safety inspection, a collaborative safety management approach of "data visualization", "management intelligence and capability", "process standardization", "function customization", and "office mobility" has been constructed. The full process online and offline management methods of each link have been strengthened, providing strong guarantees for the safe operation and teaching research of the laboratory.

Laboratory quality management is the key to ensuring the accuracy and reliability of testing data, but the traditional manual management mode is inefficient and difficult to meet the increasing certification requirements. This article proposes an intelligent laboratory quality management system that integrates artificial intelligence technologies such as knowledge graphs, data mining, and machine learning, achieving full process intelligent management and risk warning of laboratory resources, processes, and results. The innovation points of the system include: ontology based quality knowledge graph construction, multi-objective reinforcement learning for resource allocation and process optimization, and quality trend prediction for spatiotemporal sequences. The application in X laboratory has shown that the system can significantly improve the standardization, effectiveness, and efficiency of quality management, providing the possibility for the establishment of an intelligent certification system.

Objective To investigate the clinical features, pathogens and drug resistance of elderly patients with traumatic infective endophthalmitis (PTIE). Methods 76 elderly patients (76 eyes) with PTIE treated in our hospital from January 2023 to January 2024 were retrospectively analyzed. Clinical characteristics and pathogenic bacteria of patients were collected and their drug resistance was analyzed. Results The clinical features of elderly PTIE were related to the location of the wound in area I (84.21%), the penetration injury of intraocular foreign body (60.52%) and the presence of metal foreign body (48.68%). The fungal detection rate in patients who were above 75 years old was higher than that in patients${60}\sim {75}$years old$\left({P <{0.05}}\right)$. In 76 elderly patients with PTIE, a total of 56 pathogenic bacteria were isolated, including 45 Gram-positive bacteria, 8 Gram-negative bacteria and 3 kinds of fungi. Among Gram-positive bacteria, the highest resistance of Staphylococcus epidermidis was penicillin (100%) and gentamicin (88.89%), and the highest resistance of Saprophytic staphylococcus was penicillin (88.89%) and erythromycin (88.89%). Among Gram-negative bacteria, the highest resistance was amikacin (100%) and ampicillin (100%) in Pseudomonas aeruginosa, and ampicillin (100%) in Klebsiella pneumoniae. Conclusion The distribution of pathogenic bacteria in elderly PTIE patients was affected by the location of the injured mouth, the type of trauma, the type of foreign body in the eye and age factors, among which Gram-positive bacteria was the main infection type, Staphylococcus epidermidis was the most common. Staphylococcus epidermidis has a high resistance to penicillin, in contrast to ampicillin and imipenem are relatively low resistance.

Objective Early diagnosis of breast cancer is of paramount importance. We aim to utilize deep learning models to accurately detect the nipple area in Automated Breast Ultrasound (ABUS) data, ensuring reliable technical diagnostic support for breast tumors at an early stage. Methods Based on the YOLO series models, we locate and detect the nipple in ABUS coronal plane images, providing a positional reference for tumor diagnosis. Results The YOLO series models have all performed well. Particularly, the YOLOv5s model achieved a high precision rate of 0.955, a recall rate of 0.925, and a frame rate of 243, meeting the clinical diagnostic requirements. Conclusion The YOLOv5 model has demonstrated excellent performance in the ABUS nipple localization task. This technology provides crucial technical support for the early detection of breast tumors, with significant clinical implications.

Objective To investigate the interference effect of lipid turbidity on the detection of prealbumin by Immunotransparency turbidimetry. Methods 40 non-lipid turbidity serum samples from patients with cholesterosis cutis were selected from February 2021 to January 2024 in Shanghai Fengxian District Dermatology Prevention and Control Institute, an additional 40 samples of turbid serum from patients with xanthelasma were selected. Immunotransmission turbidimetry was used to measure prealbumin levels in 80 serum samples, and then the method repeatability of 40 serum samples without lipid turbidity was analyzed, and the lipid turbidity interference effect of 40 lipid turbidity serum samples was analyzed. Results The intra-batch precision of prealbumin was less than 1/4TEa (CLIA’88), and the total precision was less than 1/3TEa (CLIA’88). There was no significant difference in prealbumin in 40 fat-free turbid serum samples after low-speed centrifugation and high-speed centrifugation followed by immunotransmission nephelometry, respectively$\left({P >{0.05}}\right)$. Lipid turbidity did not interfere with the accuracy of prealbumin detection in blood samples treated by high-speed centrifugation. For blood samples treated by low-speed centrifugation, when the lipid turbidity index was$<{43}\mathrm{{mg}}/\mathrm{{dL}}$, it did not interfere with the effect of prealbumin examination, and when the lipid turbidity index was$\geq {43}\mathrm{{mg}}/\mathrm{{dL}}$, it interfered with the effect of prealbumin examination. The detection result of prealbumin in blood samples treated by high-speed centrifugation was higher than that of low-speed centrifugation samples$\left({P <{0.05}}\right)$. Conclusion Lipid turbidity interferes with the accuracy of albumin level before immunotransmission turbidimetry, but the interference effect of mild lipid turbidity is not significant. When the lipid turbidity index is$\geq {43}\mathrm{{mg}}/\mathrm{{dL}}$, the interference effect on prealbumin is obvious.

ABSTRACT: Cervical cancer is the most common malignant tumor of female reproductive system. There are many pathologic diagnosis methods for cervical cancer or suspected patients in early clinical stage..In recent years, with the vigorous development of the field of examination, the emergence of immunohistochemical pathological diagnosis technology, molecular pathological diagnosis technology, and RNA in situ hybridization (RNA Scope) technology has brought new directions for the clinicopathological diagnosis of cervical cancer. By summarizing the epidemiology of cervical cancer, this study showed the current situation of the disease, analyzed the clinical application of various pathological diagnostic techniques, and discussed the advantages and disadvantages of different pathological diagnostic techniques. At the same time, the future development trend of clinicopathological diagnosis of cervical cancer was explored from a macroscopic point of view. This provides important data support for the establishment of cervical cancer risk prediction model and pathological diagnosis system framework, and adopts the best pathological diagnosis technology to analyze the potential risk or pathological classification of patients. Finally, it can meet the personalized diagnosis and treatment needs of patient groups and highlight its high-quality medical service level.

ABSTRACT: With the rapid advancement of industrialization and urbanization, a series of new pollutants, such as drug residues, personal care products, and industrial chemicals, have gradually emerged. These pollutants pose a serious threat to the ecological environment and human health due to their low concentration, high toxicity, easy bioaccumulation, and environmental persistence. New pollutants, as a type of environmental pollutant that has recently been identified or begun to receive widespread attention, are characterized by their low content but significant toxicity. Among them, the problems of new pollutants such as microplastics, antibiotics, and environmental endocrine disruptors are particularly prominent. How to efficiently identify and monitor these pollutants has become a core concern for researchers in the field of environmental science. This article will deeply analyze the characteristics, hazards, and monitoring difficulties of new pollutants, and summarize the latest research trends in the field of environmental monitoring, especially the detection technologies for pollutants such as microplastics, antibiotics, and environmental endocrine disruptors. By comparing the advantages and disadvantages of various monitoring methods, guidance is provided for environmental workers in selecting appropriate monitoring methods, in order to achieve rapid and accurate identification and monitoring of new pollutants.

This paper mainly studies the application of railway food testing and HACCP system, aiming to provide reference for the industry insiders, to ensure the safety and health of domestic railway food. By explaining the key points of railway food detection and their value, it analyzes the key points of railway food detection based on HACCP system, and conducts food detection combined with a train catering base. For fast food lunch boxes, food and drinking utensils, and production environment were tested, HACCP correction analysis was adopted based on the testing results, and corresponding remediation measures were formulated to improve the quality of food testing. The results show that the qualified rate of each index after rectification is between 80%~85%, which can guarantee the safety of food. It is found that HACCP system has obvious application value for railway food detection and can be further promoted.