ELSEVIERBecker-Shaffer's Diagnosis and Therapy of the Glaucomas (Eighth Edition)
For much of the 20th century,asbestoswas one of the most commonly used materials in U.S. manufacturing, shipbuilding, construction, and a wide range of other industries due to its low cost and natural fireproofing properties. Millions of Americans were exposed to asbestos for decades with no id...
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Rare Disorders: Diagnosis & Therapy is an open access, peer-reviewed journal that publishes articles on the multi-dimensional aspects of Rare Disorders.
and an exercise prompts reflection on trauma and chronic pain in individuals. In Video Two, we explore various pain syndromes, distinguishing primary from secondary causes. The quiz tests knowledge of pain syndromes, and an exercise encourages reflection on someone's diagnosis. Join us in demystifyin...
Anticoagulants are medicines that increase the time it takes for blood to clot. They are commonly called blood thinners. There are several different types of anticoagulant. Each type works at a different level on the blood coagulation pathway. Some can be given by mouth; others can only be ...
Journal of Infectious Diseases & Therapy Journal of Medical Microbiology & DiagnosisMore Are you interested in 1.Infectious Diseases and Neuro Infectious Diseases - Infectious Diseases_2025 (Canada) 10. HIV/AIDS - Infectious Diseases_2025 (Canada) 11. Pediatric Infectious Diseases/ Childhood Infectious...
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring Alzheimer's & Dementia: The Journal of the Alzheimer's Association Alzheimer's & Dementia: Translational Research & Clinical Interventions Alzheimer's Research & Therapy AMB Express AMBIO Ameghiniana American Antiquity American Educational...
As an occupational therapy assistant, I have spent years working with people diagnosed with dementia, as well as their families, to address the functional implications of the diagnosis and help with the transition. Recognizing the early signs of dementia can help you plan for the future. ...
Robust machine learning typically refers to the robustness of machine learning algorithms. For a machine learning algorithm to be considered robust, either the testing error has to be consistent with the training error, or the performance is stable after adding some noise to the dataset. This repo...