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

Enhanced prediction of breast cancer patient response to chemotherapy by integrating deconvolved expression patterns of immune, stromal and tumor cells

通过整合免疫细胞、基质细胞和肿瘤细胞的解卷积表达模式,提高对乳腺癌患者化疗反应的预测能力。

Dhruba, Saugato Rahman; Sahni, Sahil; Wang, Binbin; Wu, Di; Rajagopal, Padma Sheila; Schmidt, Yael; Shulman, Eldad D; Sinha, Sanju; Sammut, Stephen-John; Caldas, Carlos; Wang, Kun; Ruppin, Eytan

Path2Omics Enhances Transcriptomic and Methylation Prediction Accuracy from Tumor Histopathology

Path2Omics 提高了基于肿瘤组织病理学的转录组和甲基化预测准确性

Hoang, Danh-Tai; Shulman, Eldad D; Dhruba, Saugato Rahman; Nair, Nishanth Ulhas; Barman, Ranjan Kumar; Cantore, Thomas; Biswas, Sumona; Lalchungnunga, H; Singh, Omkar; Chung, Youngmin; Lee, Joo Sang; Nasrallah, MacLean P; Stone, Eric A; Aldape, Kenneth; Ruppin, Eytan

SURG-35. Steroid responsiveness, not surgical procedure, predicts recovery after LITT vs resection of primary motor cortex tumors

SURG-35. 类固醇反应性而非手术方式可预测原发性运动皮层肿瘤激光间质热疗(LITT)与切除术后的恢复情况。

Martínez, Juan M; Guerrero, Marco E; Lacouture, Natalia A; Dampier, Christopher H; Lalchungnunga, Fnu; Hoang, Danh-Tai; Shulman, Eldad D; Abdullaev, Zied; Li, Bochong; Luo, Zhirui; Singh, Omkar; Wu, Zhichao; Pearce, Thomas M; Marker, Daniel F; Horbinski, Craig; Lucas, Calixto-Hope G; Cimino, Patrick J; Nasrallah, MacLean P; Quezado, Martha; Chung, Hye-Jung; Yefet, Leeor; Zadeh, Gelareh; Brandner, Sebastian; Ruppin, Eytan; Aldape, Kenneth; Danzo*, Sofia; DeMaio*, Joan Renee; Sloan, Emily; Grossman, Stuart; Watson, Joseph; Komlodi-Pasztor, Edina; Puri, Sushant; Sloan, Lindsey; Ganguly, Sudipto; Huan, Peng; Kleinberg, Lawrence; Selim, Omar; Santo, Briana; Khera, Arnav; Rajan, Anant; Singh, Arjit; Yencha, Caroline; Gendreau, Julian; Ahmed, Karim; Mukherjee, Debraj; Haskell-Mendoza, Aden; Jackson, Joshua; Flusche, Ann Marie; Reason, Elle; Gonzalez, Ariel; Srinivasan, Ethan; Lerner, Emily; Woo, Joshua; Herndon, James; Calabrese, Evan; Fecci, Peter

Pathologist-interpretable breast cancer subtyping and stratification from AI-inferred nuclear features

基于人工智能推断的核特征,对乳腺癌进行病理学家可解读的亚型分类和分层。

Barman, Ranjan Kumar; Dhruba, Saugato Rahman; Hoang, Danh-Tai; Shulman, Eldad D; Campagnolo, Emma M; Wang, Andy T; Harmon, Stephanie A; Hu, Tom C; Papanicolau-Sengos, Antonios; Nasrallah, MacLean P; Aldape, Kenneth D; Ruppin, Eytan

Deep learning inference of cell type-specific gene expression from breast tumor histopathology

利用深度学习从乳腺肿瘤组织病理学中推断细胞类型特异性基因表达

Wang, Andrew T; Dhruba, Saugato R; Wang, Kun; Campagnolo, Emma M; Shulman, Eldad D; Ruppin, Eytan

PATH-101. Neuropath-AI, a histopathology-based deep learning classifier for CNS tumors, achieves and improves human neuropathologist-level performance

PATH-101. Neuropath-AI 是一款基于组织病理学的深度学习分类器,用于中枢神经系统肿瘤的分类,其性能已达到并超越了人类神经病理学家的水平。

de Almeida, João Ricardo Maltez; Gomes, André Boechat; Barros, Thomas Pitangueira; Fahel, Paulo Eduardo; Rocha, Mario de Souza; Lalchungnunga, H; Dampier, Christopher H; Singh, Omkar; Hoang, Danh-Tai; Shulman, Eldad D; Abdullaev, Zied; Li, Bochong; Luo, Zhirui; Pearce, Thomas; Marker, Daniel F; Horbinski, Craig; Lucas, Calixto-Hope G; Cimino, Patrick J; Nasrallah, MacLean P; Quezado, Martha; Chung, Hye-Jung; Yefet, Leeor; Zadeh, Gelareh; Brandner, Sebastian; Ruppin, Eytan; Aldape, Kenneth

Path2Omics: Enhanced transcriptomic and methylation prediction accuracy from tumor histopathology

Path2Omics:基于肿瘤组织病理学的转录组和甲基化预测准确性增强

Hoang, Danh-Tai; Shulman, Eldad D; Dhruba, Saugato Rahman; Nair, Nishanth Ulhas; Barman, Ranjan K; Lalchungnunga, H; Singh, Omkar; Nasrallah, MacLean P; Stone, Eric A; Aldape, Kenneth; Ruppin, Eytan

Increased RNA and Protein Degradation Is Required for Counteracting Transcriptional Burden and Proteotoxic Stress in Human Aneuploid Cells

人类非整倍体细胞需要增加RNA和蛋白质降解以对抗转录负担和蛋白毒性应激

Marica Rosaria Ippolito # ,Johanna Zerbib # ,Yonatan Eliezer ,Eli Reuveni ,Sonia Viganò ,Giuseppina De Feudis ,Eldad D Shulman ,Anouk Savir Kadmon ,Rachel Slutsky ,Tiangen Chang ,Emma M Campagnolo ,Silvia Taglietti ,Simone Scorzoni ,Sara Gianotti ,Sara Martin ,Julia Muenzner ,Michael Mülleder ,Nir Rozenblum ,Carmela Rubolino ,Tal Ben-Yishay ,Kathrin Laue ,Yael Cohen-Sharir ,Ilaria Vigorito ,Francesco Nicassio ,Eytan Ruppin ,Markus Ralser ,Francisca Vazquez ,Stefano Santaguida ,Uri Ben-David

A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics

利用深度学习框架,通过推断转录组学数据,从组织病理学图像预测癌症治疗反应

Hoang, Danh-Tai; Dinstag, Gal; Shulman, Eldad D; Hermida, Leandro C; Ben-Zvi, Doreen S; Elis, Efrat; Caley, Katherine; Sammut, Stephen-John; Sinha, Sanju; Sinha, Neelam; Dampier, Christopher H; Stossel, Chani; Patil, Tejas; Rajan, Arun; Lassoued, Wiem; Strauss, Julius; Bailey, Shania; Allen, Clint; Redman, Jason; Beker, Tuvik; Jiang, Peng; Golan, Talia; Wilkinson, Scott; Sowalsky, Adam G; Pine, Sharon R; Caldas, Carlos; Gulley, James L; Aldape, Kenneth; Aharonov, Ranit; Stone, Eric A; Ruppin, Eytan

Chromosome 7 Gain Compensates for Chromosome 10 Loss in Glioma

7号染色体获得补偿了胶质瘤中10号染色体的缺失

Nair, Nishanth Ulhas; Schäffer, Alejandro A; Gertz, E Michael; Cheng, Kuoyuan; Zerbib, Johanna; Sahu, Avinash Das; Leor, Gil; Shulman, Eldad D; Aldape, Kenneth D; Ben-David, Uri; Ruppin, Eytan