Artigos de revistas sobre o tema "Disease progression modeling"
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Reeve, Russell, Lei Pang, Bradley Ferguson, Michael O’Kelly, Seth Berry e Wei Xiao. "Rheumatoid Arthritis Disease Progression Modeling". Therapeutic Innovation & Regulatory Science 47, n.º 6 (novembro de 2013): 641–50. http://dx.doi.org/10.1177/2168479013499571.
Texto completo da fonteInoue, Lurdes Y. T., Ruth Etzioni, Christopher Morrell e Peter Müller. "Modeling Disease Progression With Longitudinal Markers". Journal of the American Statistical Association 103, n.º 481 (1 de março de 2008): 259–70. http://dx.doi.org/10.1198/016214507000000356.
Texto completo da fontePlevritis, Sylvia K. "Modeling disease progression in outcomes research". Academic Radiology 6 (janeiro de 1999): S132—S133. http://dx.doi.org/10.1016/s1076-6332(99)80108-1.
Texto completo da fonteYoung, Alexandra L., Felix J. S. Bragman, Bojidar Rangelov, MeiLan K. Han, Craig J. Galbán, David A. Lynch, David J. Hawkes et al. "Disease Progression Modeling in Chronic Obstructive Pulmonary Disease". American Journal of Respiratory and Critical Care Medicine 201, n.º 3 (1 de fevereiro de 2020): 294–302. http://dx.doi.org/10.1164/rccm.201908-1600oc.
Texto completo da fonteRooney, William D., Yosef A. Berlow, William T. Triplett, Sean C. Forbes, Rebecca J. Willcocks, Dah-Jyuu Wang, Ishu Arpan et al. "Modeling disease trajectory in Duchenne muscular dystrophy". Neurology 94, n.º 15 (17 de março de 2020): e1622-e1633. http://dx.doi.org/10.1212/wnl.0000000000009244.
Texto completo da fonteZhou, Jiayu, Jun Liu, Vaibhav A. Narayan e Jieping Ye. "Modeling disease progression via multi-task learning". NeuroImage 78 (setembro de 2013): 233–48. http://dx.doi.org/10.1016/j.neuroimage.2013.03.073.
Texto completo da fonteMehdipour Ghazi, Mostafa, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin e Lauge Sørensen. "Robust parametric modeling of Alzheimer’s disease progression". NeuroImage 225 (janeiro de 2021): 117460. http://dx.doi.org/10.1016/j.neuroimage.2020.117460.
Texto completo da fonteSun, Zhaonan, Soumya Ghosh, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio e Jianying Hu. "A probabilistic disease progression modeling approach and its application to integrated Huntington’s disease observational data". JAMIA Open 2, n.º 1 (7 de janeiro de 2019): 123–30. http://dx.doi.org/10.1093/jamiaopen/ooy060.
Texto completo da fonteGomeni, Roberto, Monica Simeoni, Marina Zvartau-Hind, Michael C. Irizarry, Daren Austin e Michael Gold. "Modeling Alzheimer's disease progression using the disease system analysis approach". Alzheimer's & Dementia 8, n.º 1 (22 de julho de 2011): 39–50. http://dx.doi.org/10.1016/j.jalz.2010.12.012.
Texto completo da fonteCook, Sarah F., e Robert R. Bies. "Disease Progression Modeling: Key Concepts and Recent Developments". Current Pharmacology Reports 2, n.º 5 (15 de agosto de 2016): 221–30. http://dx.doi.org/10.1007/s40495-016-0066-x.
Texto completo da fonteMa, Xiaoke, Long Gao e Kai Tan. "Modeling disease progression using dynamics of pathway connectivity". Bioinformatics 30, n.º 16 (25 de abril de 2014): 2343–50. http://dx.doi.org/10.1093/bioinformatics/btu298.
Texto completo da fonteSoper, Braden C., Jose Cadena, Sam Nguyen, Kwan Ho Ryan Chan, Paul Kiszka, Lucas Womack, Mark Work et al. "Dynamic modeling of hospitalized COVID-19 patients reveals disease state–dependent risk factors". Journal of the American Medical Informatics Association 29, n.º 5 (22 de fevereiro de 2022): 864–72. http://dx.doi.org/10.1093/jamia/ocac012.
Texto completo da fonteYang, Liuqing, Xifeng Wang, Qi Guo, Scott Gladstein, Dustin Wooten, Tengfei Li, Weining Z. Robieson, Yan Sun e Xin Huang. "Deep Learning Based Multimodal Progression Modeling for Alzheimer’s Disease". Statistics in Biopharmaceutical Research 13, n.º 3 (10 de março de 2021): 337–43. http://dx.doi.org/10.1080/19466315.2021.1884129.
Texto completo da fontePičulin, Matej, Tim Smole, Bojan Žunkovič, Enja Kokalj, Marko Robnik-Šikonja, Matjaž Kukar, Dimitrios I. Fotiadis et al. "Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning". JMIR Medical Informatics 10, n.º 2 (2 de fevereiro de 2022): e30483. http://dx.doi.org/10.2196/30483.
Texto completo da fonteNoyes, K., A. Bajorska, AR Chappel, S. Schwid, LR Mehta, R. Holloway e A. Dick. "PMC48 “UNNATURAL” HISTORY: MODELING DISEASE PROGRESSION USING OBSERVATIONAL DATA". Value in Health 12, n.º 3 (maio de 2009): A28. http://dx.doi.org/10.1016/s1098-3015(10)73199-5.
Texto completo da fonteVenkatraghavan, Vikram, Esther E. Bron, Wiro J. Niessen e Stefan Klein. "Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling". NeuroImage 186 (fevereiro de 2019): 518–32. http://dx.doi.org/10.1016/j.neuroimage.2018.11.024.
Texto completo da fonteOjha, Vaghawan Prasad, Shantia Yarahmadian e Madhav Om. "Stochastic Modeling and Simulation of Filament Aggregation in Alzheimer’s Disease". Processes 12, n.º 1 (9 de janeiro de 2024): 157. http://dx.doi.org/10.3390/pr12010157.
Texto completo da fonteKühnel, Line, Anna‐Karin Berger, Bo Markussen e Lars L. Raket. "Simultaneous modeling of Alzheimer's disease progression via multiple cognitive scales". Statistics in Medicine 40, n.º 14 (14 de abril de 2021): 3251–66. http://dx.doi.org/10.1002/sim.8932.
Texto completo da fonteGoodison, Steve, Mark E. Sherman e Yijun Sun. "Computational disease progression modeling can provide insights into cancer evolution". Oncoscience 7, n.º 3-4 (1 de maio de 2020): 21–22. http://dx.doi.org/10.18632/oncoscience.501.
Texto completo da fonteKotze, L. "PNS222 IMPUTATION TECHNIQUES FOR MISSING COVARIATES WHEN MODELING DISEASE PROGRESSION". Value in Health 22 (maio de 2019): S323. http://dx.doi.org/10.1016/j.jval.2019.04.1578.
Texto completo da fonteKarlsson, Kristin E., Justin J. Wilkins, Fredrik Jonsson, Per-Henrik Zingmark, Mats O. Karlsson e E. Niclas Jonsson. "Modeling Disease Progression in Acute Stroke Using Clinical Assessment Scales". AAPS Journal 12, n.º 4 (21 de setembro de 2010): 683–91. http://dx.doi.org/10.1208/s12248-010-9230-0.
Texto completo da fonteGreen, C., e S. Zhang. "Modeling Disease Progression In Alzheimer's Dementia To Inform HTA (CEA)". Value in Health 17, n.º 7 (novembro de 2014): A563. http://dx.doi.org/10.1016/j.jval.2014.08.1866.
Texto completo da fonteLiu, Xiaoli, Peng Cao, André R. Gonçalves, Dazhe Zhao e Arindam Banerjee. "Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso". ACM Transactions on Knowledge Discovery from Data 12, n.º 6 (17 de outubro de 2018): 1–35. http://dx.doi.org/10.1145/3230668.
Texto completo da fonteDonohue, Michael C., Anthony Gamst, Clifford Jack, Laurel Beckett, Michael Weiner, Paul Aisen, Rema Raman e Ronald Thomas. "F3-02-02: MODELING LONG-TERM DISEASE PROGRESSION WITH COVARIATES". Alzheimer's & Dementia 10 (julho de 2014): P203—P204. http://dx.doi.org/10.1016/j.jalz.2014.04.253.
Texto completo da fonteJanke, Andrew L., Greig de Zubicaray, Stephen E. Rose, Mark Griffin, Jonathan B. Chalk e Graham J. Galloway. "4D deformation modeling of cortical disease progression in Alzheimer's dementia". Magnetic Resonance in Medicine 46, n.º 4 (outubro de 2001): 661–66. http://dx.doi.org/10.1002/mrm.1243.
Texto completo da fonteOzkan, Alican, Gwenn Merry, David B. Chou, Viktor Horvath, Lorenzo E. Ferri, Rocco Ricciardi, Liliana G. Bordeianou, Sean Hall e Donald Ingber. "878 MODELING INFLAMMATORY BOWEL DISEASE PROGRESSION IN HUMAN ORGAN-CHIPS". Gastroenterology 164, n.º 6 (maio de 2023): S—195. http://dx.doi.org/10.1016/s0016-5085(23)01430-0.
Texto completo da fonteSukkar, Rafid, Bradley Wyman, Elyse Katz, Yanwei Zhang e David Raunig. "P1-118: Modeling Alzheimer's disease progression using hidden markov models". Alzheimer's & Dementia 7 (julho de 2011): S147. http://dx.doi.org/10.1016/j.jalz.2011.05.397.
Texto completo da fontePlatero, Carlos. "Categorical predictive and disease progression modeling in the early stage of Alzheimer’s disease". Journal of Neuroscience Methods 374 (maio de 2022): 109581. http://dx.doi.org/10.1016/j.jneumeth.2022.109581.
Texto completo da fonteNie, Liqiang, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang e Xuelong Li. "Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer’s Disease". IEEE Transactions on Neural Networks and Learning Systems 28, n.º 7 (julho de 2017): 1508–19. http://dx.doi.org/10.1109/tnnls.2016.2520964.
Texto completo da fonteBaum, Larry, e Eric Baum. "Progressive Diseases: Interpretation of Genetic Data". Journal of Theoretical Medicine 2, n.º 1 (1999): 1–7. http://dx.doi.org/10.1080/17486709909490784.
Texto completo da fontePfeiffer, John, Tim Foley, Eduardo Braun, Anu Antony, Lance Munn, Joseph R. Peterson, John A. Cole e The SimBioSys Team. "Abstract 1917: Accurate modeling of HER2 positive breast cancer disease progression with a biophysical modeling software". Cancer Research 82, n.º 12_Supplement (15 de junho de 2022): 1917. http://dx.doi.org/10.1158/1538-7445.am2022-1917.
Texto completo da fonteSidhu, Ishnoor, Sonali P. Barwe, Raju K. Pillai e Anilkumar Gopalakrishnapillai. "Harnessing the Power of Induced Pluripotent Stem Cells and Gene Editing Technology: Therapeutic Implications in Hematological Malignancies". Cells 10, n.º 10 (9 de outubro de 2021): 2698. http://dx.doi.org/10.3390/cells10102698.
Texto completo da fonteKim, Darae, Dongwoo Chae, Chi Young Shim, In-Jeong Cho, Geu-Ru Hong, Kyungsoo Park e Jong-Won Ha. "Predicting Disease Progression in Patients with Bicuspid Aortic Stenosis Using Mathematical Modeling". Journal of Clinical Medicine 8, n.º 9 (24 de agosto de 2019): 1302. http://dx.doi.org/10.3390/jcm8091302.
Texto completo da fonteCao, Yanguang, Debra C. DuBois, Hao Sun, Richard R. Almon e William J. Jusko. "Modeling Diabetes Disease Progression and Salsalate Intervention in Goto-Kakizaki Rats". Journal of Pharmacology and Experimental Therapeutics 339, n.º 3 (8 de setembro de 2011): 896–904. http://dx.doi.org/10.1124/jpet.111.185686.
Texto completo da fonteMaitland, M. L., K. Wu, M. R. Sharma, Y. Jin, S. P. Kang, W. M. Stadler, T. G. Karrison, M. J. Ratain e R. R. Bies. "Estimation of Renal Cell Carcinoma Treatment Effects From Disease Progression Modeling". Clinical Pharmacology & Therapeutics 93, n.º 4 (27 de dezembro de 2012): 345–51. http://dx.doi.org/10.1038/clpt.2012.263.
Texto completo da fonteAsena, Tilahun Ferede, e Ayele Taye Goshu. "Comparison of Sojourn Time Distributions in Modeling HIV/AIDS Disease Progression". Biometrical Letters 54, n.º 2 (20 de dezembro de 2017): 155–74. http://dx.doi.org/10.1515/bile-2017-0009.
Texto completo da fonteWalker, Rachel, Jaime Mejia, Jae K. Lee, Jose M. Pimiento, Mokenge Malafa, Anna R. Giuliano, Domenico Coppola e Heiko Enderling. "Personalizing Gastric Cancer Screening With Predictive Modeling of Disease Progression Biomarkers". Applied Immunohistochemistry & Molecular Morphology 27, n.º 4 (abril de 2019): 270–77. http://dx.doi.org/10.1097/pai.0000000000000598.
Texto completo da fonteJacqmin, Philippe, Ronald Gieschke, Isabelle Delor, Eric Snoeck, Eduardo Vianna, Carole Vuillerot e Patricia Sanwald Ducray. "Mathematical Disease Progression Modeling in Type 2/3 Spinal Muscular Atrophy". Muscle & Nerve 58, n.º 4 (28 de agosto de 2018): 528–35. http://dx.doi.org/10.1002/mus.26178.
Texto completo da fonteSun, Ming, e Yuanjia Wang. "Nonlinear model with random inflection points for modeling neurodegenerative disease progression". Statistics in Medicine 37, n.º 30 (6 de setembro de 2018): 4721–42. http://dx.doi.org/10.1002/sim.7951.
Texto completo da fonteHong, Yun Jeong, Bora Yoon, Yong S. Shim, Seon-Ok Kim, Hwa Jung Kim, Seong Hye Choi, Jee Hyang Jeong, Soo Jin Yoon, Dong Won Yang e Jae-Hong Lee. "Predictors of Clinical Progression of Subjective Memory Impairment in Elderly Subjects: Data from the Clinical Research Centers for Dementia of South Korea (CREDOS)". Dementia and Geriatric Cognitive Disorders 40, n.º 3-4 (2015): 158–65. http://dx.doi.org/10.1159/000430807.
Texto completo da fonteRoss, Jennifer M., Roger Ying, Connie L. Celum, Jared M. Baeten, Katherine K. Thomas, Pamela M. Murnane, Heidi van Rooyen, James P. Hughes e Ruanne V. Barnabas. "Modeling HIV disease progression and transmission at population-level: The potential impact of modifying disease progression in HIV treatment programs". Epidemics 23 (junho de 2018): 34–41. http://dx.doi.org/10.1016/j.epidem.2017.12.001.
Texto completo da fonteThomson, J. L., e W. E. Copes. "Modeling Disease Progression of Camellia Twig Blight Using a Recurrent Event Model". Phytopathology® 99, n.º 4 (abril de 2009): 378–84. http://dx.doi.org/10.1094/phyto-99-4-0378.
Texto completo da fonteCaldwell, Kim A., Corey W. Willicott e Guy A. Caldwell. "Modeling neurodegeneration in Caenorhabditiselegans". Disease Models & Mechanisms 13, n.º 10 (1 de outubro de 2020): dmm046110. http://dx.doi.org/10.1242/dmm.046110.
Texto completo da fonteAndrade-Restrepo, Martin, Paul Lemarre, Laurent Pujo-Menjouet, Leon Matar Tine e Sorin Ionel Ciuperca. "Modeling the spatial propagation of Aβ oligomers in Alzheimer’s Disease". ESAIM: Proceedings and Surveys 67 (2020): 30–45. http://dx.doi.org/10.1051/proc/202067003.
Texto completo da fonteREYES-SILVEYRA, JORGE, ARMIN R. MIKLER, JUSTIN ZHAO e ANGEL BRAVO-SALGADO. "MODELING INFECTIOUS OUTBREAKS IN NON-HOMOGENEOUS POPULATIONS". Journal of Biological Systems 19, n.º 04 (dezembro de 2011): 591–606. http://dx.doi.org/10.1142/s0218339011004007.
Texto completo da fonteLi, Lu, Jiho Sohn, Robert J. Genco, Jean Wactawski-Wende, Steve Goodison, Patricia I. Diaz e Yijun Sun. "Computational approach to modeling microbiome landscapes associated with chronic human disease progression". PLOS Computational Biology 18, n.º 8 (4 de agosto de 2022): e1010373. http://dx.doi.org/10.1371/journal.pcbi.1010373.
Texto completo da fonteTabberer, Maggie, Sebastian Gonzalez-McQuire, Hana Muellerova, Andrew H. Briggs, Maureen P. M. H. Rutten-van Mölken, Mike Chambers e David A. Lomas. "Development of a Conceptual Model of Disease Progression for Use in Economic Modeling of Chronic Obstructive Pulmonary Disease". Medical Decision Making 37, n.º 4 (2 de agosto de 2016): 440–52. http://dx.doi.org/10.1177/0272989x16662009.
Texto completo da fonteExuzides, Alex, Chris Colby, Andrew H. Briggs, David A. Lomas, Maureen P. M. H. Rutten-van Mölken, Maggie Tabberer, Mike Chambers et al. "Statistical Modeling of Disease Progression for Chronic Obstructive Pulmonary Disease Using Data from the ECLIPSE Study". Medical Decision Making 37, n.º 4 (8 de outubro de 2015): 453–68. http://dx.doi.org/10.1177/0272989x15610781.
Texto completo da fonteCosta, Bárbara, e Nuno Vale. "Exploring HERV-K (HML-2) Influence in Cancer and Prospects for Therapeutic Interventions". International Journal of Molecular Sciences 24, n.º 19 (27 de setembro de 2023): 14631. http://dx.doi.org/10.3390/ijms241914631.
Texto completo da fonteDunson, David B., e Donna D. Baird. "Bayesian Modeling of Incidence and Progression of Disease from Cross-Sectional Data". Biometrics 58, n.º 4 (dezembro de 2002): 813–22. http://dx.doi.org/10.1111/j.0006-341x.2002.00813.x.
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