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A case report is a thorough report of an individual patient's symptoms, signs, diagnosis, therapy, and follow-up. Case reports often describe an uncommon or unexpected occurrence and, as such, remain one of the bedrock of medical advancement, providing many new concepts in medicine. Some studies include a thorough examination of the relevant literature on the subject. The clinical case report is a brief communication between busy doctors who may not have the time or resources to perform large-scale research. Read more @ https://pubrica.com/insights/study-guide/the-most-prevalent-clinical-examination-methods-in-case-report/ Visit us @ https://pubrica.com/services/research-services/case-report-writing/

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Scientific communication is crucial for scholars to share, disseminate, and build upon knowledge through systematic exchange of findings, methodologies, and insights. It ensures ethical adherence, transparency, collaboration, intellectual growth, and innovation, fostering the perpetuation of rigorous research methodologies and the evolution of human understanding. Read more @ https://pubrica.com/insights/study-guide/different-sorts-of-scientific-communication-in-research-methodology/ Visit us @ https://pubrica.com/services/scientific-communication/

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Clinical research writing service | Scientific clinical Literature Review writing service Cross-sectional studies provide a idea of respiratory health, while case-control and cohort epidemiological studies unravel associations and temporal relationships. Longitudinal analyses capture the dynamic nature of respiratory conditions over time, and intervention studies gauge the efficacy of treatments. From ecological examinations of environmental influences to genetic inquiries into predispositions, these studies collectively contribute to our comprehensive understanding of respiratory health. Read more @ https://pubrica.com/academy/systematic-review/different-epidemiological-studies-in-respiratory-research/ Visit us @ https://pubrica.com/services/research-services/

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The Publishing process can be a daunting task. At Pubrica, we translate your research writing into a publishable manuscript. We guide you through the entire life cycle of your publication, including identifying the most suitable journal, executing the peer review, manuscript editing, statistical review and provide post-submission support. Contact us for your Medical Writing & Publication Support Service @ https://pubrica.com/services/publication-support/ Visit us @ https://pubrica.com/

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Case reports and case series are uncontrolled study designs with a high risk of bias, yet they have had a significant impact on medical literature and continue to expand our understanding. We offer essential points and applications of evidence gathered from case reports and case series in this blog. We suggest assessing the methodological quality of scientific case reports and case series using the areas of selection, ascertainment, causation, and reporting, as well as providing signalling questions and systematic reviewers. Read more @ https://pubrica.com/academy/case-reporting/key-points-to-consider-case-report-series-in-bmj/ For all your case study writing assistance contact us @ https://pubrica.com/contact-us/

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Randomized Controlled Trials (RCTs) are a commonly used research design in medical and scientific studies to assess the effectiveness of interventions or treatments. Meta-analysis, on the other hand, is a statistical technique used to combine and analyze the results of multiple studies on a particular topic to draw more robust conclusions. Continue reading @ https://pubrica.com/academy/meta-analysis/how-randomized-controlled-trials-are-used-in-meta-analysis/ For all your research assistance visit us @ https://pubrica.com/services/research-services/meta-analysis/

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We offer an array of services, including scientific and medical writing, editing, peer-reviewing, and data collection and analysis services that cover academic, scientific, regulatory business, medical, and technology. We support in the development of the manuscripts and thesis, creating abstracts and posters, case reports, slide decks, and evidence-based response documents. We assist life science, pharmaceutical, medical device manufacturers, hospitals, healthcare providers, payers, technology companies, and research scholars in their quest for a credible scientific & evidence-based writing partner. Read more @ https://pubrica.com/services/ Visit us @ https://pubrica.com/

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Primary care doctor shortages worldwide are addressed through the use of physician assistants (PAs), which have grown from a small number in the US to over 75,000 providers in 2011. PAs contribute to comprehensive care, accessibility, and Physician writing services accountability, making them a suitable strategy for diverse populations. Read more @ https://pubrica.com/academy/clinical-research-service/how-do-physician-assistants-contribute-to-primary-health-care-systems/ Visit us @ https://pubrica.com/services/physician-writing-services/

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Therapeutic area expertise is particularly important as pharmaceutical and nutraceutical companies develop new classes of compounds that target complex and difficult diseases. Our experts have a say in therapeutic clinical trials; Pubrica Scientific Writing & Publishing has completed holistic projects in the area of CRO therapeutics for pharmaceutical, and biotechnology firms. Scientific publication support @ https://pubrica.com/contact-us/ Visit us @ https://pubrica.com/services/publication-support/

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Experimental design to molecular and computational analyses, we present an overview of current best practices in the metabarcoding investigation of fungal communities. We show that operational taxonomic units (OTUs) outperform amplified sequence variants (ASVs) in recovering fungal diversity, especially for lengthy markers, by reanalyzing published data collection sets. Read more @ https://pubrica.com/insights/sample-work/effective-methods-for-metabarcoding-fungi/ Contact us to for all your medical research services @ https://pubrica.com/contact-us/

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Experimental design in statistics | Biomedical science research services Experimental design, also referred to as "design of experiment," is an area of applied statistics concerned with the preparation, execution, analysis, and interpretation of controlled testing. It is used to assess the variables that influence the value of a parameter or set of values. It is an effective data-gathering and analysis tool that may be used in a variety of experiments. Visit us @ https://pubrica.com/

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Pubrica’s team of researchers and authors develop Scientific and medical research papers that can act as an indispensable tool to the practitioner/authors. Pubrica medical writers help you to write and edit the introduction by introducing the reader to the shortcomings or empty spaces in the identified research field. We have extensive experience in developing a detailed clinical case report that highlights the symptoms, signs, diagnosis, treatment and follow-up of an individual patient. Contact us @ [email protected] Read more @ https://pubrica.com/academy/systematic-review/a-case-report-of-type-1-diabetes-during-the-covid-19-vaccine/ Complete your clinical case report writing with Pubrica experts @ https://pubrica.com/contact-us/

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The field data collection error refers to missing data rather than an data analysis based on an incorrect sample or incomplete data. It can be not easy to maintain a high response rate on a large-scale survey. Environmental or observational errors may cause measurement errors. It’s not the same as random errors that have no known cause. Read more @ https://pubrica.com/academy/systematic-review/how-to-handle-discrepancies-while-you-collect-data-for-systemic-review/

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Neural networks (ANN) are used to simulate neural systems, syncing modules in layers. They are built by stacking multiple neurons in layers, with input and output layers. Each neuron has an activation function, and the network’s parameters are weights and biases. The goal is to learn network parameters so the predicted outcome matches the ground truth, using backpropagation along the loss function. Visit us @ https://pubrica.com/services/research-services/

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These diseases increase healthcare spending and reduce productivity, with estimates suggesting India lost up to $237 billion due to heart-related diseases. Artificial Intelligence and Machine Learning techniques can help predict the presence or absence of heart-related diseases accurately. The increasing use of information technology in healthcare aids doctors in decision-making, disease management, and discovery of patterns among diagnosis data. Current literature review and systematic review approaches to predicting cardiovascular risk often fail to identify those who would benefit from preventive treatment or unnecessary intervention.

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Data collection is critical because it helps clinics and university hospitals to make better-informed decisions regarding their patients' treatment. Every care professional has all the information they need to treat their patients thanks to applications intended for exchanging patient data across channels. Continue reading to find out why data is crucial in healthcare. Visit us @ https://pubrica.com/insights/study-guide/techniques-of-data-collection-in-health-care-research/

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The PRISMA 2020 declaration was created with systematic reviews of studies that evaluate the impact of health treatments in mind, regardless of the study type. The checklist items, on the other hand, may be included in reports of Clinical Trial Systematic Review Services assessing various treatments (such as social or educational interventions), and many of them can be used in systematic reviews with goals other than evaluating interventions (such as evaluating aetiology, prevalence, or prognosis).

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Medical Data Collection: 1. Medical Records: Gather historical medical records and data related to the expectant mother’s health, including past pregnancies, medical conditions, and genetic history. 2. Biometric Data: Collect real-time biometric data such as heart rate, blood pressure, and weight through wearable medical devices or home monitoring equipment. 3. Lifestyle Data: Gather qualitative data on lifestyle factors, including diet, exercise, stress levels, and sleep patterns through regular surveys or connected apps.

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Artificial Intelligence (AI) has gained significant interest in healthcare and medicine, particularly in predicting health-related problems like diabetes, cardiovascular diseases, obesity, cancer, and pregnancy disorders. Prediction studies can be categorized into risk factor studies, prediction models studies, and prediction models impact studies. These studies aim to identify predictors, develop, Medical Data collection, validate, or improve prediction models for personalized patient care, and evaluate the impact of using these models.

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The study used a mixed-methods design, including both quantitative and qualitative methods. To ensure a correct sample, a National Professional Association email database and past students' emails were used. Quantitative data was collected through an e-survey adapted from the EBP: Beliefs, Attitudes, Knowledge, and Behaviors of Physical Therapists Portuguese version questionnaire, which was analyzed using logistic regression. Visit us @ https://pubrica.com/insights/sample-work/assessing-evidence-based-practice-in-physical-therapy/

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