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Found 1697 clinical trials
Efficacy of Narrow Band Spectrum Endoscopy for the Diagnosis of Gastric Antral Vascular Ectasia in Patients With Liver Cirrhosis

the study aims to evaluate the role of similar technology of Narrow Band Imaging VIST video intelligent staining technology in the diagnosis of Gastric Antral Vascular ectasia in cirrhotic patients

  • 0 views
  • 16 Feb, 2024
  • 1 location
Characteristics and Outcomes of Patients With COVID-19 Admitted to the ICU

This is a case series of patients with COVID-19 admitted to the largest university hospital in Sao Paulo, Brazil, during the 2020 COVID-19 pandemic. Data will be collected prospectively and retrospectively. The main objective is to describe the characteristics of critically ill patients with COVID-19 and their clinical outcomes, and …

critically ill
critical illness
covid-19
  • 0 views
  • 01 Feb, 2023
  • 1 location
Effect of COVID-19 Pandemic on Perceived Stress Anxiety Mood and Training Quality in Elite Athletes.

In this study, we aim to investigate stress, anxiety, mood, life satisfaction measures among elite athletes during COVID-19 and explore the relationship between these measures and the changes in training characteristics in elite athletes during the COVID-19 pandemic.

anxiety
covid-19
  • 0 views
  • 05 Aug, 2020
Validation of a Novel Cortical Biomarker Signature for Pain

The study aims to undertake analytical validation of an brain biomarker in healthy participants experiencing a model of sustained temporomandibular pain. The biomarker could detect participants at greater risk of developing more severe pain.

nerve growth factor
ache
  • 0 views
  • 16 Feb, 2024
  • 2 locations
The Application of Non-invasive and Cellular Level Resolution Fullfield Optical Coherence Tomography: Establishment and Analysis of Subcutaneous Cellular Level Image Database of Anatomical Locations in Healthy Volunteers and Evaluation of Usability

The objective of this protocol is to image skin of healthy volunteers and to evaluate the performance of full-field optical coherence tomography (FF-OCT) device - the ApolloVue S100 Image System in imaging skin microstructures of healthy skin at different anatomical locations and nevi for different skin types and different age …

  • 0 views
  • 16 Feb, 2024
  • 1 location
Finding Out if COVID-19 Infection Can be pREdicted by ChAnges in Smell and/or Taste

The FORECAST Study is an observational cohort study looking at two cohorts of patients presenting with COVID-19: a general public cohort, aiming to investigate if new loss or reduced sense of smell and/or taste are early signs of COVID-19 and a hospital cohort, which will investigate if taste/smell changes can …

hyposmia
covid-19
  • 0 views
  • 16 Feb, 2024
  • 2 locations
CT-based Radiomic Algorithm for Assisting Surgery Decision and Predicting Immunotherapy Response of NSCLC

The purpose of this study was to investigate whether the combined radiomic model based on radiomic features extracted from focus and perifocal area (5mm) can effectively improve prediction performance of distinguishing precancerous lesions from early-stage lung adenocarcinoma, which could assist clinical decision making for surgery indication. Besides, response and long …

cancer
ct scan
non-small cell lung cancer
adenocarcinoma
lung cancer
  • 0 views
  • 05 Aug, 2020
A Brief Lifestyle Modification Programme in Overweight Subjects With Obstructive Sleep Apnoea - Needs Assessment

Obstructive sleep apnea (OSA) is a common chronic disease and associated with cardiovascular and neurocognitive sequelae. Overweight is a common, reversible risk factor of OSA, and the rapid rise in obesity worldwide may lead to increases in OSA and related adverse health outcomes. Weight-loss interventions, especially comprehensive lifestyle interventions, are …

chronic disease
polysomnography
apnea
  • 0 views
  • 16 Feb, 2024
  • 1 location
A Novel Machine Learning Algorithm to Predict the Lewy Body Dementias

Parkinson's disease dementia (PDD) and Dementia with lewy bodies (DLB) are dementia syndromes that overlap in many clinical features, making their diagnosis difficult in clinical practice, particularly in advanced stages. We propose a machine learning algorithm, based only on non-invasively and easily in-the-clinic collectable predictors, to identify these disorders with …

movement disorder
dementia
lewy body disease
  • 0 views
  • 16 Feb, 2024
  • 1 location
AKI Biomarkers in Coronavirus(COVID)-19

This research aims to investigate the role of daily measurement of urinary cell cycle arrest markers and other serum and urinary biomarkers to predict the development of acute kidney injury in critically ill patients with COVID-19 and acute respiratory disease.

renal injury
critically ill
acute kidney injury
coronavirus
acute renal failure
  • 0 views
  • 05 Aug, 2020