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

Structural engineering of stabilized, expanded epitope nanoparticle vaccines for HPV.

HPV稳定化、扩增表位纳米颗粒疫苗的结构工程

Helble Michaela, Zhu Xizhou, Bhojnagarwala Pratik S, Liaw Kevin, Gao Yangcheng, Kim Amber, Bayruns Kelly, McCanna Madison E, Park Joyce, Konrath Kylie M, Garfinkle Sam, Brysgel Taylor, Weiner David B, Kulp Daniel W

AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases

基于人工智能的肝病临床试验入组标准和终点评估自动化

Iyer, Janani S; Juyal, Dinkar; Le, Quang; Shanis, Zahil; Pokkalla, Harsha; Pouryahya, Maryam; Pedawi, Aryan; Stanford-Moore, S Adam; Biddle-Snead, Charles; Carrasco-Zevallos, Oscar; Lin, Mary; Egger, Robert; Hoffman, Sara; Elliott, Hunter; Leidal, Kenneth; Myers, Robert P; Chung, Chuhan; Billin, Andrew N; Watkins, Timothy R; Patterson, Scott D; Resnick, Murray; Wack, Katy; Glickman, Jon; Burt, Alastair D; Loomba, Rohit; Sanyal, Arun J; Glass, Ben; Montalto, Michael C; Taylor-Weiner, Amaro; Wapinski, Ilan; Beck, Andrew H

Sequencing by avidity enables high accuracy with low reagent consumption

基于亲和力的测序方法能够以较低的试剂消耗实现高精度测序。

Arslan, Sinan; Garcia, Francisco J; Guo, Minghao; Kellinger, Matthew W; Kruglyak, Semyon; LeVieux, Jake A; Mah, Adeline H; Wang, Haosen; Zhao, Junhua; Zhou, Chunhong; Altomare, Andrew; Bailey, John; Byrne, Matthew B; Chang, Chiting; Chen, Steve X; Cho, Byungrae; Dennler, Claudia N; Dien, Vivian T; Fuller, Derek; Kelley, Ryan; Khandan, Omid; Klein, Michael G; Kim, Michael; Lajoie, Bryan R; Lin, Bill; Liu, Yu; Lopez, Tyler; Mains, Peter T; Price, Andrew D; Robertson, Samantha R; Taylor-Weiner, Hermes; Tippana, Ramreddy; Tomaney, Austin B; Zhang, Su; Abtahi, Minna; Ambroso, Mark R; Bajari, Rosita; Bellizzi, Ava M; Benitez, Chris B; Berard, Daniel R; Berti, Lorenzo; Blease, Kelly N; Blum, Angela P; Boddicker, Andrew M; Bondar, Leo; Brown, Chris; Bui, Chris A; Calleja-Aguirre, Juan; Cappa, Kevin; Chan, Joshua; Chang, Victor W; Charov, Katherine; Chen, Xiyi; Constandse, Rodger M; Damron, Weston; Dawood, Mariam; DeBuono, Nicole; Dimalanta, John D; Edoli, Laure; Elango, Keerthana; Faustino, Nikka; Feng, Chao; Ferrari, Matthew; Frankie, Keith; Fries, Adam; Galloway, Anne; Gavrila, Vlad; Gemmen, Gregory J; Ghadiali, James; Ghorbani, Arash; Goddard, Logan A; Guetter, Adriana Roginski; Hendricks, Garren L; Hentschel, Jendrik; Honigfort, Daniel J; Hsieh, Yun-Ting; Hwang Fu, Yu-Hsien; Im, Scott K; Jin, Chaoyi; Kabu, Shradha; Kincade, Daniel E; Levy, Shawn; Li, Yu; Liang, Vincent K; Light, William H; Lipsher, Jonathan B; Liu, Tsung-Li; Long, Grace; Ma, Rui; Mailloux, John M; Mandla, Kyle A; Martinez, Anyssa R; Mass, Max; McKean, Daniel T; Meron, Michael; Miller, Edmund A; Moh, Celyne S; Moore, Rachel K; Moreno, Juan; Neysmith, Jordan M; Niman, Cassandra S; Nunez, Jesus M; Ojeda, Micah T; Ortiz, Sara Espinosa; Owens, Jenna; Piland, Geoffrey; Proctor, Daniel J; Purba, Josua B; Ray, Michael; Rong, Daisong; Saade, Virginia M; Saha, Sanchari; Tomas, Gustav Santo; Scheidler, Nicholas; Sirajudeen, Luqmanal H; Snow, Samantha; Stengel, Gudrun; Stinson, Ryan; Stone, Michael J; Sundseth, Keoni J; Thai, Eileen; Thompson, Connor J; Tjioe, Marco; Trejo, Christy L; Trieger, Greg; Truong, Diane Ni; Tse, Ben; Voiles, Benjamin; Vuong, Henry; Wong, Jennifer C; Wu, Chiung-Ting; Yu, Hua; Yu, Yingxian; Yu, Ming; Zhang, Xi; Zhao, Da; Zheng, Genhua; He, Molly; Previte, Michael

AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis

人工智能驱动的癌症细胞核形态定量分析能够预测基因组不稳定性及预后

Abel, John; Jain, Suyog; Rajan, Deepta; Padigela, Harshith; Leidal, Kenneth; Prakash, Aaditya; Conway, Jake; Nercessian, Michael; Kirkup, Christian; Javed, Syed Ashar; Biju, Raymond; Harguindeguy, Natalia; Shenker, Daniel; Indorf, Nicholas; Sanghavi, Darpan; Egger, Robert; Trotter, Benjamin; Gerardin, Ylaine; Brosnan-Cashman, Jacqueline A; Dhoot, Aditya; Montalto, Michael C; Parmar, Chintan; Wapinski, Ilan; Khosla, Archit; Drage, Michael G; Yu, Limin; Taylor-Weiner, Amaro

Evolutionary history of transformation from chronic lymphocytic leukemia to Richter syndrome

慢性淋巴细胞白血病向里氏综合征转变的演变史

Erin M Parry # ,Ignaty Leshchiner # ,Romain Guièze # ,Connor Johnson ,Eugen Tausch ,Sameer A Parikh ,Camilla Lemvigh ,Julien Broséus ,Sébastien Hergalant ,Conor Messer ,Filippo Utro ,Chaya Levovitz ,Kahn Rhrissorrakrai ,Liang Li ,Daniel Rosebrock ,Shanye Yin ,Stephanie Deng ,Kara Slowik ,Raquel Jacobs ,Teddy Huang ,Shuqiang Li ,Geoff Fell ,Robert Redd ,Ziao Lin ,Binyamin A Knisbacher ,Dimitri Livitz ,Christof Schneider ,Neil Ruthen ,Liudmila Elagina ,Amaro Taylor-Weiner ,Bria Persaud ,Aina Martinez ,Stacey M Fernandes ,Noelia Purroy ,Annabelle J Anandappa ,Jialin Ma ,Julian Hess ,Laura Z Rassenti ,Thomas J Kipps ,Nitin Jain ,William Wierda ,Florence Cymbalista ,Pierre Feugier ,Neil E Kay ,Kenneth J Livak ,Brian P Danysh ,Chip Stewart ,Donna Neuberg ,Matthew S Davids ,Jennifer R Brown ,Laxmi Parida ,Stephan Stilgenbauer ,Gad Getz ,Catherine J Wu

Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH

整合基于深度学习的组织病理学和转录组学,揭示了晚期非酒精性脂肪性肝炎(NASH)患者纤维化发生相关的关键基因。

Conway, Jake; Pouryahya, Maryam; Gindin, Yevgeniy; Pan, David Z; Carrasco-Zevallos, Oscar M; Mountain, Victoria; Subramanian, G Mani; Montalto, Michael C; Resnick, Murray; Beck, Andrew H; Huss, Ryan S; Myers, Robert P; Taylor-Weiner, Amaro; Wapinski, Ilan; Chung, Chuhan

Directly Observed Care: Crossing the Chasm of Quality Measurement

直接观察护理:跨越质量测量的鸿沟

Kelley, A Taylor; Weiner, Saul J; Francis, Joseph

Molecular map of chronic lymphocytic leukemia and its impact on outcome

慢性淋巴细胞白血病的分子图谱及其对预后的影响

Knisbacher, Binyamin A; Lin, Ziao; Hahn, Cynthia K; Nadeu, Ferran; Duran-Ferrer, Martí; Stevenson, Kristen E; Tausch, Eugen; Delgado, Julio; Barbera-Mourelle, Alex; Taylor-Weiner, Amaro; Bousquets-Muñoz, Pablo; Diaz-Navarro, Ander; Dunford, Andrew; Anand, Shankara; Kretzmer, Helene; Gutierrez-Abril, Jesus; López-Tamargo, Sara; Fernandes, Stacey M; Sun, Clare; Sivina, Mariela; Rassenti, Laura Z; Schneider, Christof; Li, Shuqiang; Parida, Laxmi; Meissner, Alexander; Aguet, François; Burger, Jan A; Wiestner, Adrian; Kipps, Thomas J; Brown, Jennifer R; Hallek, Michael; Stewart, Chip; Neuberg, Donna S; Martín-Subero, José I; Puente, Xose S; Stilgenbauer, Stephan; Wu, Catherine J; Campo, Elias; Getz, Gad

A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH

机器学习方法可实现非酒精性脂肪性肝炎(NASH)肝脏组织学定量测量和疾病监测。

Taylor-Weiner, Amaro; Pokkalla, Harsha; Han, Ling; Jia, Catherine; Huss, Ryan; Chung, Chuhan; Elliott, Hunter; Glass, Benjamin; Pethia, Kishalve; Carrasco-Zevallos, Oscar; Shukla, Chinmay; Khettry, Urmila; Najarian, Robert; Taliano, Ross; Subramanian, G Mani; Myers, Robert P; Wapinski, Ilan; Khosla, Aditya; Resnick, Murray; Montalto, Michael C; Anstee, Quentin M; Wong, Vincent Wai-Sun; Trauner, Michael; Lawitz, Eric J; Harrison, Stephen A; Okanoue, Takeshi; Romero-Gomez, Manuel; Goodman, Zachary; Loomba, Rohit; Beck, Andrew H; Younossi, Zobair M

Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

从密集映射的癌症病理切片中提取的、人类可解读的图像特征可以预测多种分子表型。

Diao, James A; Wang, Jason K; Chui, Wan Fung; Mountain, Victoria; Gullapally, Sai Chowdary; Srinivasan, Ramprakash; Mitchell, Richard N; Glass, Benjamin; Hoffman, Sara; Rao, Sudha K; Maheshwari, Chirag; Lahiri, Abhik; Prakash, Aaditya; McLoughlin, Ryan; Kerner, Jennifer K; Resnick, Murray B; Montalto, Michael C; Khosla, Aditya; Wapinski, Ilan N; Beck, Andrew H; Elliott, Hunter L; Taylor-Weiner, Amaro