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Fibrodysplasia ossificans progressiva (/ ˌ f aɪ b r oʊ d ɪ ˈ s p l eɪ ʒ (i) ə ɒ ˈ s ɪ f ɪ k æ n z p r ə ˈ ɡ r ɛ s ɪ v ə /; [1] abbr. FOP), also called Münchmeyer disease or formerly myositis ossificans progressiva, is an extremely rare connective tissue disease in which fibrous connective tissue such as muscle, tendons, and ligaments turn into bone tissue (ossification).
A medical algorithm is any computation, formula, statistical survey, nomogram, or look-up table, useful in healthcare. Medical algorithms include decision tree approaches to healthcare treatment (e.g., if symptoms A, B, and C are evident, then use treatment X) and also less clear-cut tools aimed at reducing or defining uncertainty.
Formatting Objects Processor (FOP, also known as Apache FOP) is a Java application that converts XSL Formatting Objects (XSL-FO) files to PDF or other printable formats. FOP was originally developed by James Tauber who donated it to the Apache Software Foundation in 1999. It is part of the Apache XML Graphics project.
Close to 90% of FOP patients worldwide are misdiagnosed. [8] In such circumstances, the association directly supports research, makes information about FOP including symptoms and treatment guidelines available to both physicians and families, and supports afflicted families with mentoring, family meetings and an information network.
Carol Orzel (April 20, 1959 – February 2018) was an American woman with fibrodysplasia ossificans progressiva (FOP). She advocated for research into FOP and was an activist for disability rights. Before her death, she requested that her skeleton be displayed in the Mütter Museum. [1]
QRISK3 (the most recent version of QRISK) is a prediction algorithm for cardiovascular disease (CVD) that uses traditional risk factors (age, systolic blood pressure, smoking status and ratio of total serum cholesterol to high-density lipoprotein cholesterol) together with body mass index, ethnicity, measures of deprivation, family history, chronic kidney disease, rheumatoid arthritis, atrial ...
IPAP has organized and supported several international conferences on psychopharmacology algorithms. It has also supported the creation of several algorithms based on expert opinion. It is now in the process of creating "evidence-based algorithms," that is algorithms created by experts and annotated with the evidence that leads to these algorithms.
Firstly, a proportional measure of the extent of infection is chosen as the disease extent metric. For example, the metric might be the proportion of leaf area affected by mildew or the proportion of plants in a population showing dieback lesions. Measures of disease extent are then taken over time, and a mathematical model is fitted. The model ...