Search alternatives:
clinical case » critical care (Expand Search)
Showing 181 - 200 results of 354 for search '(( significant clinical case ) OR ( significant danger (decrease OR increase) ))', query time: 0.09s Refine Results
  1. 181

    Epidemiological and genetic characterization of pH1N1 and H3N2 influenza viruses circulated in MENA region during 2009–2017 by Hebah A. Al Khatib (10494573)

    Published 2019
    “…<h3>Background</h3><p dir="ltr">Influenza surveillance is necessary for detection of emerging variants of epidemiologic and clinical significance. This study describes the epidemiology of influenza types A and B, and molecular characteristics of surface glycoproteins (hemagglutinin [HA] and neuraminidase [NA]) of influenza A subtypes: pH1N1 and H3N2 circulated in Arabian Gulf, Levant and North Africa regions during 2009–2017. …”
  2. 182

    Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images by Sriman Bidhan Baray (15302398)

    Published 2025
    “…The model achieved a median error of 7.8° across 421 images, with 82% of predictions within ±10° of ground truth. Only 6% of cases crossed the 30° surgical threshold, confirming the tool’s reliability for clinical decision-making. …”
  3. 183
  4. 184

    Oral Food Challenge Protocols in Food Protein-Induced Enterocolitis Syndrome: A Systematic Review by Tayseer Ibrahim (18589411)

    Published 2025
    “…</p><h3>Conclusions</h3><p dir="ltr">There is significant heterogeneity in <u>FPIES </u>OFC practices. …”
  5. 185
  6. 186
  7. 187
  8. 188
  9. 189

    Editorial: Itch treatments by Martin Steinhoff (5340194)

    Published 2024
    “…Here, extensive translational and clinical studies are necessary to stratify the best treatment.…”
  10. 190
  11. 191
  12. 192

    Landscape of childhood epilepsies – A multi-ethnic population-based study by Ruba Benini (17563083)

    Published 2022
    “…Risk factors associated with an increased risk of co-morbidities and intractable epilepsy included early age of epilepsy onset (< 2 years of age); etiology; antenatal risk factors; history of previous central nervous system infection; history of status epilepticus and a family history of consanguinity and epilepsy. </p><h3>Significance </h3><p dir="ltr">This large multi-ethnic population-based study confirms that the prevalence, incidence and clinical features of epilepsy in Qatar is in accordance with other epidemiologic studies and highlights risk factors for the development of co-morbidities and medically-intractable epilepsy.…”
  13. 193
  14. 194
  15. 195

    Metabolomics in the Diagnosis and Prognosis of COVID-19 by Mohammad Rubayet Hasan (8602080)

    Published 2021
    “…Since the genome of SARS-CoV-2 was uncovered, detection of viral RNA by RT-qPCR has played the most significant role in preventing the spread of the virus through early detection and tracing of suspected COVID-19 cases and through screening of at-risk population. …”
  16. 196

    Current Status of Tissue Engineering in the Management of Severe Hypospadias by Tariq O. Abbas (11247771)

    Published 2018
    “…At present, despite many significant advances, the search for a suitable tissue engineering approach for use in routine clinical applications continues.…”
  17. 197
  18. 198

    An investigation into the potential action of polyphenols against human Islet Amyloid Polypeptide aggregation in type 2 diabetes by Anns Mahboob (17337886)

    Published 2023
    “…<p dir="ltr">Type 2 diabetes (T2D), a chronic metabolic disease characterized by hyperglycemia, results in significant disease burden and financial costs globally. …”
  19. 199

    Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer by Andrea Remo (447375)

    Published 2015
    “…By IHC assays, we found that IBC patients displayed a higher number of NFAT5-positive cases than nIBC (69.2% vs. 19.5%; p-value = 2.79 10-7). …”
  20. 200

    An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

    Published 2024
    “…</p><h3>Methods</h3><p dir="ltr">In this study, we employed machine learning (ML) based case-control study on a diabetic cohort size of 1000 participants form Qatar Biobank to predict diabetes using clinical and bone health indicators from Dual Energy X-ray Absorptiometry (DXA) machines. …”