Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.
Electrocardiographic Abnormalities in High-Level Athletes in Brazzaville: A Cross-Sectional Study ()
Electrocardiographic Abnormalities in High-Level Athletes in Brazzaville: A Cross-Sectional Study. World Journal of Cardiovascular Diseases, 15, 490-500. doi: 10.4236/wjcd.2025.1510043 . Regular and ...
Background Postoperative ileus (POI) is a common complication after abdominal surgery that significantly delays recovery. Evidence suggests that the general anaesthetic propofol inhibits ...
Background Immunogenicity to SARS-CoV-2 vaccination in patients with SLE varies by vaccine type and immune-modulating therapy. However, data in Southeast Asian populations, especially among Thai ...
These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
Clinician-Identified Health Characteristics and Palliative Care Eligibility: Is Dementia Overlooked?
Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...
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