日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning

利用机器学习对多系统萎缩和帕金森病进行精确的疾病异质性和进展量化

Gebre, Robel K; Raghavan, Sheelakumari; De Tora, Mari E Johnson; Fought, Angela J; Reid, Robert I; Low, Phillip A; Singer, Wolfgang; Vemuri, Prashanthi

AT(N) Biomarkers Across Modalities in the Pathways Between Multimorbidity and Cognition

AT(N)生物标志物在多重疾病与认知之间的通路中的跨模态作用

Garcia, Angely P; de la Vega, Shelley Ann F; Balingbing, Ayra Mae S; Orlino, Ma Anna Carmina D; Herber, Jan Michael M; Viloria-Larin, Angelita L; Sutphen, Courtney L; Frye, Brett M; Abusheikha, Aya; Barcus, Richard A; Lockhart, Sam N; Whitlow, Christopher T; Craft, Suzanne; Shively, Carol A; Register, Thomas C; Hernández, Carolina S; LaFroscia, Kathryn A; Zemlock, Deborah; Ho, Emily H; Gershon, Richard C; Geula, Changiz; Mesulam, Marsel; Mather, Molly A; Gefen, Tamar; Weintraub, Sandra; Venkatesh, Mayuri L; Tarr, Natalia; Coussoule, Alexa; Scher, Natalie R; Aibel, Claudia R; Udeogu, Onyinye; Beltran, Jacqueline; Mackin, Scott R; Marshall, Gad A; Munro, Catherine E; Gatchel, Jennifer R; Mishra, Sidharth P; Jain, Shalini; Yadav, Dhananjay; Buddendorff, Lauren; Hoover, Julia P; Shukla, Rohit; Kumar, Vivek; Holland, Peter; Masternak, Michal M; Labyak, Corrie; Williams, Cynthia; Golden, Adam; Agronin, Marc; Yadav, Hariom; Zide, Benjamin S; Burling, Jessa; Adamowicz, David H; Lee, Soyoung; Johnson, Keith A; Sperling, Reisa A; Rentz, Dorene M; Donovan, Nancy J; Docteur, Natalia; Peckham, S Benjamin; Huston, Hayley; Becker, Sara; Jackson, Lanea; Beaudin, Andrew E; Muir, Ryan T; Smith, Eric E; Gawryluk, Jodie; Callahan, Brandy L; Grueso, Sergio; Sánchez‐Benavides, Gonzalo; Grau‐Rivera, Oriol; Santos‐Santos, Miguel A; Subirats, Laia; Carrasco, Ferran Prados; Calabria, Marco; Goodale, Sarah E; Zhang, Panpan; Vyas, Yukti; Pechman, Kimberly R; Shashikumar, Niranjana; Landman, Bennett A; Hohman, Timothy J; Jefferson, Angela L; Iliopoulos, Panagiotis; Gellersen, Helena M; Rong, Boyan; Cichy, Radoslaw Martin; Maass, Anne; Düzel, Emrah; Jiang, Xiaqing; O'Bryant, Sid E; Rissman, Robert A; Johnson, Leigh A; Braskie, Meredith N; Yaffe, Kristine; Sharifian, Neika; Zhu, Yunnuo; Carey, Felicia R; Barkho, Wisam; Hu, Elaine; Pugh, Mary Jo; Boyko, Edward J; Rull, Rudolph P; Goulding, Sarah; Dadar, Mahsa; Anderson, John AE; Oliver, Michael D; Barnes, Lisa L; Estrella, Mayra L; Morrison, Cassandra; Reyes, Calvin D; Gebre, Robel K; Gunter, Jeffrey L; Hu, Mingzhao; Schwarz, Christopher G; Meyer, Nolan K; Reid, Robert I; Kantarci, Kejal; Jack, Clifford R Jr; Vemuri, Prashanthi; Jiang, Xiaqing; O'Bryant, Sid E; Rissman, Robert A; Johnson, Leigh A; Braskie, Meredith N; Yaffe, Kristine

Vascular risk, gait, behavioral, and plasma indicators of VCID

血管性认知障碍的血管风险、步态、行为和血浆指标

Raghavan, Sheelakumari; Przybelski, Scott A; Lesnick, Timothy G; Fought, Angela J; Reid, Robert I; Gebre, Robel K; Windham, B Gwen; Algeciras-Schimnich, Alicia; Machulda, Mary M; Vassilaki, Maria; Knopman, David S; Jack, Clifford R Jr; Petersen, Ronald C; Graff-Radford, Jonathan; Vemuri, Prashanthi

Can integration of Alzheimer's plasma biomarkers with MRI, cardiovascular, genetics, and lifestyle measures improve cognition prediction?

将阿尔茨海默病血浆生物标志物与 MRI、心血管、遗传学和生活方式指标相结合,能否提高认知预测能力?

Gebre, Robel K; Graff-Radford, Jonathan; Ramanan, Vijay K; Raghavan, Sheelakumari; Hofrenning, Ekaterina I; Przybelski, Scott A; Nguyen, Aivi T; Lesnick, Timothy G; Gunter, Jeffrey L; Algeciras-Schimnich, Alicia; Knopman, David S; Machulda, Mary M; Vassilaki, Maria; Lowe, Val J; Jack, Clifford R Jr; Petersen, Ronald C; Vemuri, Prashanthi

Machine Learning Models of Polygenic Risk for Enhanced Prediction of Alzheimer Disease Endophenotypes

利用机器学习模型提高阿尔茨海默病内表型预测的多基因风险预测能力

Gunter, Nathaniel B; Gebre, Robel K; Graff-Radford, Jonathan; Heckman, Michael G; Jack, Clifford R Jr; Lowe, Val J; Knopman, David S; Petersen, Ronald C; Ross, Owen A; Vemuri, Prashanthi; Ramanan, Vijay K

Advancing Tau PET Quantification in Alzheimer Disease with Machine Learning: Introducing THETA, a Novel Tau Summary Measure

利用机器学习推进阿尔茨海默病中Tau蛋白PET定量分析:引入THETA,一种新型Tau蛋白汇总指标

Gebre, Robel K; Rial, Alexis Moscoso; Raghavan, Sheelakumari; Wiste, Heather J; Heeman, Fiona; Costoya-Sánchez, Alejandro; Schwarz, Christopher G; Spychalla, Anthony J; Lowe, Val J; Graff-Radford, Jonathan; Knopman, David S; Petersen, Ronald C; Schöll, Michael; Murray, Melissa E; Jack, Clifford R Jr; Vemuri, Prashanthi

Genetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis

遗传风险评分提高了血浆生物标志物在脑淀粉样变性诊断中的价值

Ramanan, Vijay K; Gebre, Robel K; Graff-Radford, Jonathan; Hofrenning, Ekaterina; Algeciras-Schimnich, Alicia; Figdore, Daniel J; Lowe, Val J; Mielke, Michelle M; Knopman, David S; Ross, Owen A; Jack, Clifford R Jr; Petersen, Ronald C; Vemuri, Prashanthi

Cross-scanner harmonization methods for structural MRI may need further work: A comparison study

结构磁共振成像的跨扫描仪协调方法可能仍需进一步研究:一项比较研究

Gebre, Robel K; Senjem, Matthew L; Raghavan, Sheelakumari; Schwarz, Christopher G; Gunter, Jeffery L; Hofrenning, Ekaterina I; Reid, Robert I; Kantarci, Kejal; Graff-Radford, Jonathan; Knopman, David S; Petersen, Ronald C; Jack, Clifford R Jr; Vemuri, Prashanthi