Results 31 to 40 of about 12,789,497 (387)

Machine Learning Use for Prognostic Purposes in Multiple Sclerosis

Life, 2021
The course of multiple sclerosis begins with a relapsing-remitting phase, which evolves into a secondarily progressive form over an extremely variable period, depending on many factors, each with a subtle influence. To date, no prognostic factors or risk
Ruggiero Seccia, Silvia Romano, Marco Salvetti, Andrea Crisanti, Laura Palagi, Francesca Grassi   +5 more
doaj   +1 more source

Risk Factors for Long-Term Coronary Artery Calcium Progression in the Multi-Ethnic Study of Atherosclerosis. [PDF]

, 2015
BackgroundCoronary artery calcium (CAC) detected by noncontrast cardiac computed tomography scanning is a measure of coronary atherosclerosis burden. Increasing CAC levels have been strongly associated with increased coronary events.
Blaha, Michael J, Budoff, Matthew, Gassett, Amanda J, Kaufman, Joel D, Kronmal, Richard, McClelland, Robyn L, Olives, Casey, Sheppard, Lianne   +7 more
core   +2 more sources

Ketogenic diet and fasting diet as Nutritional Approaches in Multiple Sclerosis (NAMS): protocol of a randomized controlled study [PDF]

, 2020
BACKGROUND: Multiple sclerosis (MS) is the most common inflammatory disease of the central nervous system in young adults that may lead to progressive disability.
Bahr, Lina Samira, Bellmann-Strobl, Judith, Bock, Markus, Franz, Liane, Kessler, Christian S., Liebscher, Daniela, Michalsen, Andreas, Mähler, Anja, Paul, Friedemann, Piper, Sophie K., Prüß, Alexandra, Schumann, Dania, Steckhan, Nico   +12 more
core   +2 more sources

Predict Disease Progression With Reaction Rate Equation Modeling of Multimodal MRI and PET

Frontiers in Aging Neuroscience, 2018
Neurodegenerative dementia often has multiple types of underlying pathology, for example, beta-amyloid, misfolded tau, chronic neuroinflammation and neurodegeneration may coexist in Alzheimer’s disease.
Li Su, Li Su, Yujing Huang, Yi Wang, James Rowe, John O’Brien   +5 more
doaj   +1 more source

Machine learning for comprehensive forecasting of Alzheimer’s Disease progression [PDF]

Scientific Reports, 2018
Most approaches to machine learning from electronic health data can only predict a single endpoint. The ability to simultaneously simulate dozens of patient characteristics is a crucial step towards personalized medicine for Alzheimer’s Disease. Here, we
Charles K. Fisher, Aaron M. Smith, J. Walsh, Adam J. Chris Clifford R. David David Derek Donald Fred Simon Edgar Jack Holtzman Russell Hill Grosset Woo, A. Simon, Chris Edgar, C. Jack, D. Holtzman, D. Russell, D. Hill, D. Grosset, Fred Wood, H. Vanderstichele, J. Morris, K. Blennow, K. Marek, L. Shaw, M. Albert, M. Weiner, Nick Fox, P. Aisen, P. Cole, Ronald Petersen, T. Sherer, W. Kubick   +24 more
semanticscholar   +1 more source

Progression of Liver Diseases [PDF]

Hepatitis Monthly, 2012
Dear Editor, To date, the knowledge on the natural history of HCV infection and the risk factors associated with progression of liver disease in children is limited. Progressive liver disease, including hepatocellular carcinoma, is rare but has been reported [1].
openaire   +3 more sources

Predicting Severe Disease and Critical Illness on Initial Diagnosis of COVID-19: Simple Triage Tools

Frontiers in Medicine, 2022
RationaleThis study was conducted to develop, validate, and compare prediction models for severe disease and critical illness among symptomatic patients with confirmed COVID-19.MethodsFor development cohort, 433 symptomatic patients diagnosed with COVID ...
Lutfi Ali S. Kurban, Sharina AlDhaheri, Abdulbaset Elkkari, Ramzi Khashkhusha, Shaikha AlEissaee, Amna AlZaabi, Mohamed Ismail, Omran Bakoush   +7 more
doaj   +1 more source

Sodium oligomannate therapeutically remodels gut microbiota and suppresses gut bacterial amino acids-shaped neuroinflammation to inhibit Alzheimer’s disease progression

Cell Research, 2019
Recently, increasing evidence has suggested the association between gut dysbiosis and Alzheimer’s disease (AD) progression, yet the role of gut microbiota in AD pathogenesis remains obscure.
Xinyi Wang, Guangqiang Sun, T. Feng, Jing Zhang, Xun Huang, Tao Wang, Zuoquan Xie, Xingkun Chu, Jun Yang, Huan Wang, Shuaishuai Chang, Yanxue Gong, Lingfei Ruan, Guanqun Zhang, Siyuan Yan, Wen-Ping Lian, Chen Du, Dabing Yang, Qingli Zhang, Feifei Lin, Jia Liu, Haiyan Zhang, Changrong Ge, S. Xiao, Jian Ding, M. Geng   +25 more
semanticscholar   +1 more source

Multi-stage Biomarker Models for Progression Estimation in Alzheimer’s Disease [PDF]

, 2015
The estimation of disease progression in Alzheimer’s disease (AD) based on a vector of quantitative biomarkers is of high interest to clinicians, patients, and biomedical researchers alike.
Alejandro F. Frangi, Alexander Schmidt-Richberg, Christian Ledig, Daniel Rueckert, Helena Molina-Abril, null null, Ricardo Guerrero   +6 more
core   +1 more source

Quantification of retinal nerve fiber layer changes in optical coherence tomography images reveals differential progression of glaucomas

BLDE University Journal of Health Sciences, 2019
BACKGROUND: For monitoring the progression of glaucoma, a major cause of irreversible blindness, clinicians measure retinal nerve fiber layer (RNFL) changes in the eye.
Saumyadipta Pyne, Mohammad Hasnat Ali, Meghana Aruru, Harsha L Rao   +3 more
doaj   +1 more source