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Clinical Diagnosis Articles & Analysis
38 articles found
Therefore, the detection of sialic acid proteins holds significant value in disease diagnosis, biomedical research and drug development.Biological Importance of Sialic Acid ProteinsSialic acid proteins play an indispensable role in many physiological and pathological processes. ...
Therefore, plasma proteomics holds great potential for disease diagnosis, treatment, and prognosis assessment.In plasma proteomics research, the most commonly used technique is mass spectrometry, especially Liquid Chromatography-Mass Spectrometry (LC-MS/MS). ...
They have the advantages of small size, high stability, and good penetration, and therefore have a wide range of application prospects in the fields of clinical treatment, diagnostic reagent development, etc.Characteristics of NanobodiesThe size of nanobodies usually ranges between 10-15kDa, which is only 1/10 of the size of regular antibodies. ...
Monkeypox is a viral zoonosis (a virus transmitted to humans from animals) with symptoms similar to smallpox, although it is clinically less severe. Monkeypox is caused by monkeypox virus, a member of the Orthopoxvirus genus in the family Poxviridae. Monkeypox virus is an enveloped double-stranded DNA virus. For clinical diagnosis, polymerase ...
Abstract Background: Preeclampsia is a major pregnancy complication that results in significant maternal and infant mortality, most of which occurs in low and middle-income countries. The accurate and timely diagnosis of preeclampsia is critical in management of affected pregnancies to reduce maternal and fetal/neonatal morbidity and mortality, yet difficulties remain in ...
Its significance lies in its involvement in B cell development and activation, making it a valuable target for research and clinical applications. The Structural Composition of CD19 The human CD19 antigen is a 95 kd transmembrane glycoprotein that belongs to the immunoglobulin (Ig) superfamily [1-2]. ...
At the heart of reliable and repeatable quantification using RT-qPCR is the quantification cycle (Cq). qPCR for COVID-19 Detection and Research Clinical methodologies of diagnosis have also been employed to define COVID-19 cases in Hubei province, China, starting on February 13, 2020, including CT scanning. ...
Investigating the cellular and molecular interplay between cytokines and diseases, particularly autoimmune diseases and tumors, yields insights crucial for guiding clinical diagnosis and treatment strategies. Cytokines in Cytokine Release Syndrome (CRS) CRS, a systemic inflammatory reaction stemming from diverse triggers such as infections, autoimmune ...
In summary, FGL2 is one of the key molecules in the process of inflammation and tumorigenesis, which provides a new entry point for early clinical diagnosis and targeted ...
AI’s progress in reducing the crisis of indeterminates Due to the heterogeneity of HFpEF, diagnosis remains a challenge, and optimal selection for clinical trials and potential targeted therapy remains difficult for clinicians to obtain. ...
Dizziness and orthostatic intolerance suggest the possibility of cardiac amyloidosis.[12] Several established criteria for the diagnosis of heart failure based on clinical symptoms are available. One example is the Framingham criteria, which base the diagnosis on the presence of major symptoms (such as nocturnal dyspnea and orthopnea, among ...
In the 1930s, some scholars reported that the determination of serum lipase and alkaline phosphatase activities is helpful for the diagnosis of pancreatitis and bone diseases, respectively. After the 1950s, the application of serum enzyme activity measurement as an indicator for monitoring cell and organ damage and tumor growth has expanded the scope of ...
Medical History A 55-year-old white male has degenerative arthritis of the knees. 10 months ago, the patient underwent total knee replacement on the left knee without complication. The surgical incisions had closed without signs of surgical site infection. At the time, he made a good recovery. He is fully functional and fully independent. Patient is a chain smoker with a wife and two children. He ...
LFQ is frequently used to search tumor biomarkers in clinical studies, as tumor adjacent or normal tissues are often treated as control group. de Oliveira et al. found that MMP-7 was presented as a more promising biomarker associated with useful assays of clinical practice for gastric adenocarcinoma patient diagnosis via LFQ results. ...
The desire for increased efficiency and efficacy in clinical care has been the primary motivating reason behind the development of AI in medical imaging. ...
DNA microarray technology can be combined with PCR amplification of target genes to obtain highly sensitive results. SNP Array in Clinical Diagnosis Accurate identification and definition of genome aberrations can influence classifications of disease, patient risk stratification and clinical management options for a variety of genetic ...
Prior to the discovery of insulin in 1921, patients with T1D died within a year or two of diagnosis. Since the discovery and mass production of insulin, T1D is no longer a terminal disease. ...
The global COVID-19 pandemic has spurred on a new demand for diagnostic equipment and products in the race to minimise spread. Airports, workplaces, border checkpoints, hospitals and countless other facilities - they’ve all needed accurate qPCR testing capabilities. ...
This method has been widely used for the rapid diagnosis of bacteria in clinical, environmental, and industrial samples. Rapid pathogen identification aids in providing clinical diagnosis and selecting appropriate antibiotic treatment. It is also used in routine identification of bacteria in clinical laboratories ...
Introducing Beacon Biosignals: a neurotechnology company founded to develop machine learning-enabled EEG neurobiomarkers and accelerate precision medicine for any disease state affecting the brain Founded by MD/PhDs and engineers from Harvard and MIT, Beacon is propelled by the vision of a computing platform designed to scale the interrogation of large brain datasets with unprecedented ...