Elaine Zhang
Abstract: Depression, also known as major depressive disorder (MDD), is a complex mental health condition that affects millions of people worldwide. Since disease treatments often depend on levels of understanding, this project strives to learn more about the transcriptional components of MDD to delineate the transcriptomic dynamics in MDD. The sample includes the single-cell transcriptomic profiles in the dorsolateral prefrontal cortex (dlPFC) of 34 postmortem patients. This data was acquired from …
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Qilin Liu
Abstract: Nowadays, more and more patients suffer from cancer in clinical practice, which has become a hot topic in medical care. The researchers are struggling to find new cancer therapy. Cytokines are a group of protein molecules, and Interferon is the class of them. It has regulation and adjusting ability in the immune system. Moreover, in cancer research, it occupies a momentous role in its ability to combine with other drugs and special effects. Interferon was first found in the 20th century and is …
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Yifan Chen
Abstract: Pancreatic cancer is a malignant tumor found in the digestive system with hidden onset, rapid progression, poor therapeutic effect and prognosis. In the last few years, immunotherapy has been included in the various solid tumors’ treatment, and pancreatic cancer immunotherapy has gradually attracted attention. Over the past decades, clinical studies have demonstrated some currently typical immunotherapies of pancreatic cancer which has already accepted by the Food and Drug Administration (FDA) …
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Lizhou Fang
Abstract: Melanoma is one of the more common tumors among young people, and the number of deaths caused by melanoma is increasing year by year. How to find efficient and safe treatment methods is currently a problem that needs to be solved. At present, most melanoma patients are treated through surgical resection, but the recurrence rate is higher and the effect is poor. Research has found that oncolytic virus therapy alone or in combination with other methods (radiotherapy, cell therapy, immunotherapy) …
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Siqi Dai
Abstract: Malignant tumor is still the most important disease threatening people's lives and health, and people often have the fear of ‘talking about cancer’. Cancer biomarkers are essential for reaching better clinical effectiveness and long-term outcomes, as well as for reducing the pain and decreasing disease-related social costs. The high burden of malignancies worldwide highlights the underutilization of biomarkers for cancer diagnosis, prognosis, treatment effect, and drug potency prediction. Novel …
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Ran Yan
Abstract: Coronary Heart Disease (CHD) stands as a significant global health concern, being the leading cause of mortality worldwide. This paper delves into the multifaceted aspects of CHD, exploring its pathogenesis, clinical manifestations, and treatment modalities, with a particular focus on coronary artery bypass graft (CABG) surgery. The pathogenesis of CHD is complex, involving factors such as atherosclerosis, cognitive dysfunction, cerebral small vessel disease, high platelet activation, and …
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Zijie Li
Abstract: Virus vaccines in cancer immunotherapy are a promising area in cancer treatments, utilizing viruses to augment the immune response against cancer cells and induce tumor cell death. Oncolytic virotherapy known as virus-based vaccine is an innovative cancer treatment leading by oncolytic virus (OVs) which has shown encouraging outcomes over the last twenty years. This therapy is able to effectively combine with other therapy, for instance radiotherapy and car-t cell therapy. Virus-like particles …
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Arman Nurlan, Renjie Qin, Man Li
Abstract: The sex difference in anxiety has long been a subject of extensive research in neuroscience and psychology. This paper aims to explore the underlying biological mechanisms that contribute to the observed sex-specific differences in anxiety-related behaviors. We review evidence from multiple fronts, including genetic, hormonal, neuroanatomical, and neurochemical factors. Genetic studies have suggested the involvement of sex-linked genes in anxiety-related traits, while hormonal factors, …
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Xinyi Zhang, Man Li
Abstract: The locus coeruleus (LC), nestled within the dorsal pontine tegmentum, stands as a pivotal hub in the brain's intricate network, exerting a profound influence over the modulation of pain perception and the emotional turbulences that often accompany it, notably depression and anxiety. Although a wealth of research has been dedicated to unraveling the LC's enigmatic operations, its intricate mechanisms continue to elude full comprehension. Nevertheless, the advent of sophisticated animal models …
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Jiayang Zhang, Qin Zhang, Yijie Zou
Abstract: To address the issue of ECG signals being susceptible to internal and external noise interference during the acquisition process, in this paper, a novel ECG signal processing and classification method based on convolutional neural network (CNN) is proposed, which combines advanced Wavelet transform technology to achieve high precision classification of real-time ECG signals. Specifically, the method first uses Wavelet transform to preprocess and de-noise ECG signals to improve signal quality. …
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Bohan Xu, Huiying Zhao, Xin Tian
Abstract: To investigate and analyze the factors that contribute to the occurrence of disc ossification in patients in the distant future when artificial disc replacement surgery is applied in the treatment of patients with cervical disc herniation, to explore the clinical characteristics and to provide a research basis for subsequent treatment work. METHODS: This study was conducted from September 2021 to June 2022, and a total of 504 patients with cervical disc herniation admitted by the medical staff …
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Guanglin Yang, Yinting Zhu
Abstract: The technology of DNA storage uses artificially synthesized deoxynucleotide chains to store information, ensuring precise and error-free reading. Compared with traditional electronic information storage, it has advantages in terms of capacity, density, and energy consumption. In this study, a K-Means clustering model is constructed with the aim of accurately clustering DNA sequences after DNA storage sequencing. To objectively evaluate the effectiveness of the model, clustering results are …
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Ke Zhang, Han Jiang, Qi Huang
Abstract: With the development of society and the improvement of living standards, people are paying more and more attention to healthy eating, especially among college students. Scientifically designing daily recipes which is used to solve the problem of nutritional imbalance when balancing economic benefits has become an important research topic. This study evaluates and adjusts the dietary recipes of male and female college students. The study establishs optimization models with the goals of maximizing …
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Zhao Yang, Yijun Lin, Yuyi Liang, Xueren Chen, Jiating Huang, Dianxuan Cao, Chunlan He
Abstract: Utilizing Jinjiang oyster in Guangdong Province as the research object, the effects of small yellow ginger juice on the color, taste, hydrolysis degree, and volatile components of oyster enzymatic hydrolysate (OEH) were investigated using sensory evaluation, NS810 colorimeter measurement, formaldehyde titration, Kjeldahl nitrogen determination, and headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS/MS). The results showed that OEH exhibited sea …
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Yao Sang
Abstract: Diabetic nephropathy (DN), a severe complication arising from diabetes, necessitates timely diagnosis and therapeutic intervention to mitigate the disease’s progression. The objective of this article is to identify pivotal genes linked to the early stages of DN through the application of bioinformatics techniques. Furthermore, this this article endeavors to elucidate the signaling pathways associated with these genes, thereby offering novel therapeutic targets for the preemptive identification …
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Haosen Jia, Changrui Zuo, Zhipeng Zou, Chen Chen
Abstract: In this paper, an improved U-Net semantic segmentation model based on residual connection and attention mechanism is proposed, aiming to improve the accuracy and stability of image segmentation. Adding residual connections between each convolutional layer of U-Net enables the input to bypass one or more convolutional layers and sum up with the outputs of these layers. This not only improves the training efficiency of the network, but also enhances the robustness and stability of the model. In …
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Yuyuan Pan
Abstract: Diabetes mellitus is a metabolic disease characterised by the patient's blood glucose being chronically higher than the standard value. In this paper, we first used multiple feature screening technique to gradually screen 17 main indicators from 34 test indicators, subsequently, we used BP neural network model for glucose value prediction and trained the model by back propagation algorithm, and then we used decision tree model combined with the new test data to assess the risk of diabetes, by …
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Longfei Zhao
Abstract: The advent of stem cell technology signifies a novel era in the field of medicine, providing revolutionary therapies for a range of diseases, including immune system disorders. Stem cells have a remarkable ability to regenerate and differentiate into many types of cells, which makes them highly promising for the repair of damaged tissues and organs. The objective of this study is to investigate the capacity of stem cell treatment in addressing immune system disorders. The article examines recent …
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Shijun Liu
Abstract: The gut microbiota, which is as the "second largest gene" of human, is the microbial community within the gastrointestinal tract, The circadian rhythm is a 24-hour internal clock in nearly all organisms, associated with a wide range of physiological and psychological activities. It is found that there is a complex interaction and balance relationship between gut microbiota and circadian rhythm. The circadian disruption caused by unhealthy lifestyles is becoming increasingly prevalent in modern …
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Mingxuan Zhang
Abstract: Diabetes is a chronic hyperglycemic disease caused by insufficient insulin secretion. Traditional diagnostic methods cannot provide early prevention, while data-driven machine learning methods can analyze medical data for early prediction. This study employs four machine learning algorithms—Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest—to analyze and model relevant data. By comparing model performance indicators such as accuracy and recall, it was found that the …
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