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Development of a checklist for cognitive assessment requirements (CARE) based on a Delphi consensus study
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Reduced interhemispheric connectivity in traumatic brachial plexopathies after bionic reconstruction
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Cellular and immune landscape of chronic liver diseases: insights from immunophenotyping
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The Prevalence of Depression Among Parkinson’s Disease Patients in Saudi Arabia: A Cross-Sectional Study
Published 2025-02-01“…Zainah Al-Qahtani,1 Abdulrahman Saad M Alqahtani,2 Abdulmohsin Mohammed S Alzuhairi,3 Mohammed Qarah,4 Albara A Alqarni,3 Abdulaziz Othman M Alqahtani,5 Fahad Abdullah A AlShehri,3 Muath Abdullah A Alqathanin,6 Omair Mohammed O Alshahrani,3 Mohammed Ali F Alqahtani,5 Syed Esam Mahmood7 1Neurology Section, Internal Medicine Department, College of Medicine, King Khalid University, Abha, 61421, Saudi Arabia; 2Aseer Cluster Health, Abha, Saudi Arabia; 3King Khalid University, Abha, Saudi Arabia; 4Public Health Department, Saudi Board of Preventive Medicine, Madinah, Saudi Arabia; 5College of Medicine King Khalid University, Abha, Saudi Arabia; 6Internal Medicine Department, Saudi Board of Internal Medicine, Abha, Saudi Arabia; 7Department of Family and Community Medicine, College of Medicine, King Khalid University, Abha, 61421, Saudi ArabiaCorrespondence: Syed Esam Mahmood, Department of Family and Community Medicine, College of Medicine, King Khalid University, Abha, 62529, Saudi Arabia, Email smahmood@kku.edu.saBackground and Aim: Depression is thought to affect up to half of Parkinson’s patients at some point during their illness, while anxiety is reported by about 40% of PD patients. …”
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Global burden and trends of norovirus-associated diseases from 1990 to 2021 an observational trend study
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SIRT2 and ALDH1A1 as critical enzymes for astrocytic GABA production in Alzheimer’s disease
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Clinicopathological and predictive value of MAIT cells in non-small cell lung cancer for immunotherapy
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Comparison of New Tau PET-Tracer Candidates With [F]T808 and [F]T807
Published 2016-01-01Get full text
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Examining the Use of Machine Learning Algorithms to Enhance the Pediatric Triaging Approach
Published 2025-01-01“…Hussain J Aljubran,1 Maitham J Aljubran,2 Ahmed M AlAwami,1 Mohammad J Aljubran,3 Mohammed A Alkhalifah,4 Moayd M Alkhalifah,5 Ahmed S Alkhalifah,6 Tawfik S Alabdullah7 1College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; 2Pediatric Department, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia; 3Department of Energy Science & Engineering, Stanford University, Stanford, CA, USA; 4Emergency Medicine Department, Johns Hopkins Aramco Healthcare, Al-Hasa, Saudi Arabia; 5Neurology Unit, Neurosciences Institute, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia; 6Pediatric Department, Qatif Central Hospital, Al Qatif, Saudi Arabia; 7Pediatric Emergency Medicine, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi ArabiaCorrespondence: Hussain J Aljubran, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 34212, Saudi Arabia, Tel +966540800696, Email hussainjawad1420@gmail.com Maitham J Aljubran, Pediatric Department, King Faisal Specialist Hospital & Research Centre, Riyadh, 12212, Saudi Arabia, Tel +966544177737, Email mjmj77550@gmail.comPurpose: Triage systems play a vital role in effectively prioritizing patients according to the seriousness of their condition. …”
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