| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| disease model | 0.85 | 0.3 | 107 | 11 | 13 |
| disease | 1.49 | 0.1 | 4495 | 96 | 7 |
| model | 0.9 | 1 | 7917 | 24 | 5 |
https://www.psychologytoday.com/us/blog/substance-use-stigma-and-society/202005/understanding-the-brain-disease-model-addiction
WEBMay 11, 2020 · The brain disease model of addiction holds that SUDs are chronic, relapsing brain diseases and that relapses are symptoms, and part of the expected course, of the disease (Morse, 2017). As with...
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https://discoverrecovery.com/blog/disease-model-of-addiction
WEBThe disease model of addiction is currently the most widely accepted school of thought when it comes to how we understand addiction. More importantly, the disease model informs how we approach recovery and treatment. So to make sure you’re up to speed, let’s have a discussion about the disease model of addiction. In particular….
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https://en.wikipedia.org/wiki/Disease_model_of_addiction
WEBThe disease model of addiction describes an addiction as a disease with biological, neurological, genetic, and environmental sources of origin. The traditional medical model of disease requires only that an abnormal condition be present that causes discomfort, dysfunction, or distress to the affected individual.
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https://www.sciencedirect.com/topics/medicine-and-dentistry/disease-model
WEBDisease Model - an overview | ScienceDirect Topics. There are two disease models: first, that AD is a skin disease that primarily derives from an intrinsic defect of epithelial cells and skin barrier, thereby facilitating as a second step numerous modifications of innate and adaptive immunity (the outside-inside hypothesis);
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https://www.hazeldenbettyford.org/research-studies/addiction-research/brain-disease-model
WEBThe brain disease model of addiction has contributed greatly to the current view of substance use disorders. Understanding the neurobiological changes that the brain undergoes has allowed for developments of novel intervention and prevention methods, while also providing overall stigma reduction.
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https://erj.ersjournals.com/content/51/4/1800188
WEBAs shown in figure 1a, this model establishes that a number of risk factors and causative triggers interact to produce a “disease” characterised by specific pathology that manifests by a series of symptoms and signs which, importantly, guide …
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https://providenceproject.org/resource-hub/disease-model-of-addiction/
WEBJul 12, 2022 · The disease model of addiction describes addiction as a chronic, relapsing disease. It states that while substance use may initially be voluntary, repeated substance use causes substantive changes in the brain that lead an …
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https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/disease-model
WEBSummary and Future Directions. The disease model was the first modern conceptualization of addictive behaviors. Because it was the first empirically derived model, its legacy is immense. Without the development and acceptance of the disease model, both clinical practice and research would look much different today, especially in the United States.
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https://www.nejm.org/doi/full/10.1056/NEJMra1511480
WEBJan 28, 2016 · Review Article. Neurobiologic Advances from the Brain Disease Model of Addiction. Authors: Nora D. Volkow, M.D., George F. Koob, Ph.D., and A. Thomas McLellan, Ph.D. Author Info & Affiliations....
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https://www.nature.com/subjects/disease-model
WEBApr 3, 2024 · A disease model is an animal or cells displaying all or some of the pathological processes that are observed in the actual human or animal disease. Studying disease models aids understanding...
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https://www.thelancet.com/pdfs/journals/lanpsy/PIIS2215-0366(14)00126-6.pdf
WEBSince 1997 the US National Institute on Drug Abuse has advocated a brain disease model of addiction (BDMA). We assess the strength of evidence for the BDMA in animals, neuroimaging studies of people with addiction, and current research on the role of genetics in addiction.
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https://psycnet.apa.org/record/1999-04057-015
WEBAbstract. The disease model represents a comprehensive explanatory concept that encompasses the social, psychological, spiritual, and biological dimensions of alcohol and drug dependence.
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https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/disease-model
WEBThe disease model was the first modern conceptualization of addictive behaviors. Because it was the first empirically derived model, its legacy is immense. Without the development and acceptance of the disease model, both clinical practice and research would look much different today, especially in the United States.
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https://www.samhsa.gov/sites/default/files/programs_campaigns/02._webcast_2_resources.pdf
WEBBrain disease model of addiction: Why is it so controversial? This commentary (Volkow & Koob, 2016) cites the scientific evidence for and advantage of the brain disease model of addiction. The commentary is a direct response to the criticism published by Hall, Carter, and Forlini (2015; see Criticisms section below).
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https://www.mentalhelp.net/addiction/disease-model/
WEBAccording to the disease model, addiction is a brain disease. It is characterized by altered brain structure and functioning. These brain abnormalities cause persons with this disease to become addicted to substances or activities, once exposure to these substances or activities occurs. This model considers addiction irreversible once acquired.
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https://www.youthaodtoolbox.org.au/disease-model
WEBThe disease model holds that the ‘loss of control’ experienced by ‘addicts’ or users in relation to drugs is the manifestation of an underlying disease state. The disease model has two relatively distinct strands: Enlightenment model. Medical disease model.
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https://scienceexchange.caltech.edu/topics/covid-19-coronavirus-sars-cov-2/disease-modeling
WEBAt a basic level, standard models divide populations into three groups: people who are susceptible to the disease (S), people who are infected by the disease and can spread it to others (I), and people who have recovered or died from the disease (R). S-I-R models look at changes in group size as people move from one group to another.
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https://www.nature.com/articles/s41562-021-01136-2
WEBJun 28, 2021 · A review and agenda for integrated disease models including social and behavioural factors | Nature Human Behaviour. Review Article. Published: 28 June 2021. A review and agenda for integrated...
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https://www.embl.org/topics/disease-models/
WEBDisease models. Understanding the causes of disease to find new treatments. To understand what causes a disease, scientists often create a disease model – a biological system in the lab that mirrors a disease or shows some of the same disease processes.
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https://www.burningtree.com/the-disease-model-of-addiction-explained/
WEBMay 9, 2021 · The Disease Model of Addiction is a widely accepted theory that conceptualizes addiction as a chronic, progressive, and relapsing brain disorder rather than a moral failing or a lack of willpower. The National Institute on Drug Abuse has concluded that half of a person’s risk of addiction depends on their genetic makeup.
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4796376/
WEBOct 28, 2014 · Five chronic disease models included Chronic Care Model (CCM), Improving Chronic Illness Care (ICIC), and Innovative Care for Chronic Conditions (ICCC), Stanford Model (SM) and Community based Transition Model (CBTM). CCM was the most studied model.
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https://www.nature.com/articles/s44222-023-00063-3
WEBMay 11, 2023 · Human disease models can help unravel disease mechanisms, including for infectious and genetic diseases and cancer. Using appropriate human disease models in the drug development...
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https://journals.biologists.com/dmm
WEBMarch 2024. View this issue. ISSUES IN PROGRESS. Volume 17, Issue 6, 01 June 2024. Submit a manuscript Sign up to alerts. Disease Models & Mechanisms (DMM) is an Open Access biomedical research journal advancing novel insight into the mechanism, diagnosis and therapy of human disease.
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https://idpjournal.biomedcentral.com/articles/10.1186/s40249-024-01195-3
WEB2 days ago · After developing and analyzing a mathematical model of infectious disease transmission, it is crucial to thoroughly examine and evaluate it. This step is essential for assessing the validity and accuracy of the model and identifying potential areas for improvement. Examining the performance of the model can ensure that it aligns with …
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https://www.mdpi.com/2078-2489/15/4/220
WEB6 days ago · Parkinson’s disease (PD) is a chronic brain disorder affecting millions worldwide. It occurs when brain cells that produce dopamine, a chemical controlling movement, die or become damaged. This leads to PD, which causes problems with movement, balance, and posture. Early detection is crucial to slow its progression and improve the quality of life for …
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https://ieeexplore.ieee.org/document/10502285
WEB3 days ago · Early diagnosis of mild cognitive impairment (MCI) may effectively prevent its development to Alzheimer’s disease. Function connectivity (FC) of the brain networks is a widely used biomarker for MCI detection. However, FC estimated by pre-defined metrics may unable to fully characterize the brain signals. The present study aims to develop a deep …
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https://journals.sagepub.com/doi/10.1177/09622802241244613
WEBApr 9, 2024 · This paper aims to extend the Besag model, a widely used Bayesian spatial model in disease mapping, to a non-stationary spatial model for irregular lattice-type data. The goal is to improve the model’s ability to capture complex spatial dependence patterns and increase interpretability. The proposed model uses multiple precision parameters ...
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https://arxiv.org/abs/2404.09882
WEB3 days ago · Spatio-temporal disease mapping models are commonly used to estimate the relative risk of a disease over time and across areas. For each area and time point, the disease count is modelled with a Poisson distribution whose mean is the product of an offset and the disease relative risk. This relative risk is commonly decomposed in the log scale as …
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https://www.nature.com/articles/s41528-024-00307-1
WEB3 days ago · Finally, by statistically distinguishing the elasticity of the arterial walls of subjects with and without CHD through the SVA measurements, a CHD assessment model can be established for disease ...
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https://www.frontiersin.org/articles/10.3389/fnagi.2024.1377442
WEBParkinson's disease (PD) is the second most common neurodegenerative disease and affects millions of people. Accurate diagnosis and subsequent treatment in the early stages can slow down disease progression. However, making an accurate diagnosis of PD at an early stage is challenging. Previous studies have revealed that even for movement disorder specialists, it …
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https://www.msn.com/en-us/health/other/academy-for-public-service-s-arkansas-model-senate-inspire-new-parkinson-s-proclamation/ar-BB1lCa6J
WEBAs a result of 90,000 people and 5,000 Arkansans being diagnosed with Parkinson's, Governor Sarah Huckabee Sanders signed a proclamation to make April of 2024 Parkinson's Disease Awareness Month ...
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https://www.aphis.usda.gov/livestock-poultry-disease/avian/avian-influenza
WEBMar 30, 2024 · Print. Avian influenza, or "bird flu," is a contagious viral disease of domestic and wild birds. It's a major threat to the poultry industry, animal health, trade, and the economy worldwide. Caused by influenza type A viruses, the disease varies in severity depending on the strain and species affected. Highly pathogenic avian influenza (HPAI ...
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https://www.c-sharpcorner.com/article/plant-disease-classifier-with-azure-ai-custom-vision-and-blazor/
WEB2 days ago · Azure AI Custom Vision is a cognitive service that enables users to build custom image classifiers using machine learning. It is particularly well-suited for applications such as a plant disease classifier due to its robust feature set and ease of use. Step 1. Data collection. The first step in building a classifier model is to collect a ...
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