Cervical cancer is a common female malignant tumor. It has been increasing and rejuvenating in recent years. Early screening of cervical cancer is an effective control method to block cancer. In this study, a diffuse reflectance spectrum detection and analysis system based on LabWindows development software and MariaDB database was developed, which can acquire and save the spectral data to the database. The method of a neural network model based on spectral database was built to distinguish the cervical tissue and the normal tissue. The nude mouse tumor model test and human volunteer test were performed respectively, which verified that the system can distinguish between normal tissue and tumor tissue, and can be applied to the screening of cervical precancerous lesions.
Animals ; Female ; Humans ; Mice ; Mice, Nude ; Neural Networks (Computer) ; Spectrum Analysis ; Uterine Cervical Neoplasms ; diagnostic imaging

simultaneous monitoring of blood flow and changes of concentration of oxyhemoglobin (ΔHbO) in brain is a key important method for the research of cerebrovascular disease. In this study, a new monitoring system, combining laser speckle contrast imaging method and spectral analysis method, was proposed, which could be utilized to measure the cerebral blood flow and ΔHbO on mice during traumatic brain injury. The principle of the present system was studied and the hardware platform of the detection system was built. Then, user interface software and algorithms were implemented based on Labview and Matlab software. Finally, the performance of the present system was verified by the experiments.
Algorithms ; Animals ; Blood Gas Analysis ; instrumentation ; Brain ; Cerebrovascular Circulation ; Lasers ; Mice ; Oxygen ; analysis

The COVID-19 pandemic caused by the novel SARS-CoV-2 virus has caused havoc across the entire world. Even though several COVID-19 vaccines are currently in distribution worldwide, with others in the pipeline, treatment modalities lag behind. Accordingly, researchers have been working hard to understand the nature of the virus, its mutant strains, and the pathogenesis of the disease in order to uncover possible drug targets and effective therapeutic agents. As the research continues, we now know the genome structure, epidemiological and clinical features, and pathogenic mechanism of SARS-CoV-2. Here, we summarized the potential therapeutic targets involved in the life cycle of the virus. On the basis of these targets, small-molecule prophylactic and therapeutic agents have been or are being developed for prevention and treatment of SARS-CoV-2 infection.