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A recent study conducted by researchers at the Hospital of Chengdu University of Traditional Chinese Medicine in Chengdu, China, analyzed the research status and trends in the field of metformin and gut microbiota. The study used bibliometric tools to analyze publications from 2012 to 2022 and found that the number of research articles on this topic has been increasing annually. The study included 517 papers from 57 countries and identified China as the leading country in terms of publications. The most influential institution was the Chinese Academy of Sciences, and the most popular journal was PLOS ONE. The study also highlighted emerging topics such as "metabolites," "aging," and "intestinal barrier." The researchers concluded that their study provides new research topics and trends for studying the effects of metformin on gut microbiota in different diseases. [Extracted from the article]

A recent study conducted in Chengdu, China, examined the non-surgical treatment of adolescent idiopathic scoliosis (AIS) over the past three decades. The study aimed to identify the hotspots and frontiers of research in this field. The researchers analyzed 839 papers from the WOS database and found that the USA and Chinese University of Hong Kong were the leading contributors to the literature. The study highlighted research areas such as physiotherapy-specific exercise efficacy, brace-based clinical efficacy, and quality of life. The researchers concluded that there is a need for standardized assessment criteria and primary indicators to compare the clinical effectiveness of different non-surgical treatments for AIS. [Extracted from the article]

Researchers at Sichuan University in Chengdu, China have conducted a comprehensive review of retinal vessel segmentation for fundus image analysis. The study highlights the importance of retinal vessel segmentation in diagnosing and screening various diseases. The researchers analyze both traditional and deep learning methods, including unsupervised and supervised learning methods, and provide an overview of the development of retinal vessel segmentation. The study concludes that their work provides a faster and better understanding of the field of retinal vessel segmentation. [Extracted from the article]

A new report from Sichuan University in Chengdu, People's Republic of China, discusses the use of a three-way decision method based on cumulative prospect theory for the hierarchical diagnosis and treatment system of chronic diseases. The research addresses the increasing demand for medical services for patients with chronic diseases and the need to efficiently allocate medical resources. The study proposes a new form of the loss function and adjustment method, and a medical decision support system is designed based on this method. The research concludes that this study provides methodical support for the hierarchical diagnosis and treatment system and has potential theoretical and practical significance in promoting the equalization of basic medical services. [Extracted from the article]

A recent study conducted by researchers at Chengdu University of Traditional Chinese Medicine in China examined the effectiveness of traditional Chinese medicine (TCM) in treating chronic gastritis. The study involved a systematic review and meta-analysis of 30 clinical trials, which included a total of 2,215 participants with various types of chronic gastritis. The findings indicated that TCM could significantly alleviate the clinical symptoms and improve the curative effects of chronic gastritis patients. However, the researchers noted that further well-designed and rigorously conducted research is needed to draw more conclusive results. This study was supported by the National Natural Science Foundation of China and has been peer-reviewed. [Extracted from the article]

A new report from Sichuan University in Chengdu, People's Republic of China, discusses the development of an efficient brain tumor segmentation model. Accurate segmentation of brain tumors is crucial for diagnosis and treatment, but it remains a challenging task due to their diverse shapes and sizes. The proposed model, called 3D-EffUNet, combines group normalization and 3D U-Net to improve segmentation performance while reducing computational costs. The model was tested on the BraTS2021 dataset and showed promising results. This research was supported by the National Natural Science Foundation of China. [Extracted from the article]

A report from Southwest Jiaotong University in Chengdu, China discusses the potential of camptothecin (CPT) therapy for cancer treatment. The report highlights the limitations of CPT, including poor pharmacokinetic properties, toxicities, and drug resistance. The researchers explore strategies to overcome these limitations through structural modifications and advanced delivery systems. They suggest that combining selective CPT derivatives with advanced delivery systems could fully unleash the anti-cancer potential of CPT. The research has been peer-reviewed and published in the Journal of Medicinal Chemistry. [Extracted from the article]

A study conducted at Chengdu University of Information and Technology in Chengdu, People's Republic of China, focused on the challenging task of accurately segmenting gliomas, a type of brain tumor, from 3D multimodal MRI images. The researchers proposed a novel multi-level parallel network that utilizes low-level, mid-level, and high-level information to improve segmentation performance. They also introduced a Combo loss function to address input class imbalance and false positives and negatives imbalance in deep learning. The method achieved competitive results on the validation dataset compared to state-of-the-art methods. The research has been peer-reviewed and published in Computer Modeling in Engineering & Sciences. [Extracted from the article]

A recent study conducted at Chengdu Normal University in Chengdu, People's Republic of China, aimed to explore the relationship between the psychological well-being and self-control of college students and their academic performance. The researchers developed a semester-long elective course called "Successful Learning" to provide students with theoretical knowledge and practical skills related to planning, goal setting, self-discipline, and social interaction. The study found that both self-control and psychological well-being were amenable to improvement, and the results confirmed previous findings on the impact of these factors on academic performance. However, the study acknowledged limitations such as a small sample size and a wide age range of participants. The absence of a control group also made it difficult to exclude the influence of external factors on the participants' well-being and self-control. [Extracted from the article]

A recent study conducted at the University of Electronic Science and Technology of China has developed a deep learning-based model for the classification of invasive ductal carcinoma (IDC) in breast cancer. The researchers incorporated a convolutional neural network (CNN) model, transfer learning, and data augmentation techniques to improve the accuracy of the model. The proposed model outperformed baseline models, achieving 99.04% accuracy. The researchers recommend the use of this method for early recognition of breast cancer in Internet of Medical Things (IoMT) healthcare systems. [Extracted from the article]