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

Pediatric acute myeloid leukemia tumor composition predicts patient outcomes at diagnosis and reveals mechanisms of resistance to chemotherapy

儿童急性髓系白血病肿瘤组成可预测患者诊断时的预后,并揭示化疗耐药机制。

NajafPanah, Mohammad Javad; Stevens, Alexandra M; Krueger, Michael J; Rochette, Max; Sandhu, Sohani; Kim, Lana; Addanki, Sridevi; Cooper, Josh; Chiu, Hua-Sheng; Epps, Jessica; Somvanshi, Sonal; Zorman, Barry; Martinez, Maria Rodriguez; Rapsomaniki, Marianna; Unger, Susanne; Becher, Burkhard; Yi, Joanna S; Man, Tsz-Kwong; Redell, Michele L; Sumazin, Pavel

Characterization of Chemoresistant Cell Populations Improves Risk Stratification and Therapy Prediction in Pediatric AML

对化疗耐药细胞群的表征可改善儿童急性髓系白血病(AML)的风险分层和治疗预测。

NajafPanah, Mohammad Javad; Stevens, Alexandra M; Krueger, Michael J; Rochette, Max; Sandhu, Sohani; Kim, Lana; Chiu, Hua-Sheng; Epps, Jessica; Somvanshi, Sonal; Zorman, Barry; Martinez, Maria Rodriguez; Rapsomaniki, Marianna; Unger, Susanne; Becher, Burkhard; Yi, Joanna S; Man, Tsz-Kwong; Redell, Michele S; Sumazin, Pavel

Prevalence, Diagnostic Utility and Associated Characteristics of Bronchodilator Responsiveness

支气管扩张剂反应性的患病率、诊断效用及相关特征

Beasley, Richard; Hughes, Rod; Agusti, Alvar; Calverley, Peter; Chipps, Bradley; Del Olmo, Ricardo; Papi, Alberto; Price, David; Reddel, Helen; Müllerová, Hana; Rapsomaniki, Eleni

Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling

利用基于生成式 AI 的虚拟多路复用肿瘤分析加速组织病理学工作流程

Pushpak Pati, Sofia Karkampouna, Francesco Bonollo, Eva Compérat, Martina Radić, Martin Spahn, Adriano Martinelli, Martin Wartenberg, Marianna Kruithof-de Julio, Marianna Rapsomaniki

Overcoming limitations in current measures of drug response may enable AI-driven precision oncology

克服当前药物反应评估方法的局限性,有望实现人工智能驱动的精准肿瘤学。

Ovchinnikova, Katja; Born, Jannis; Chouvardas, Panagiotis; Rapsomaniki, Marianna; Kruithof-de Julio, Marianna

ScLinear predicts protein abundance at single-cell resolution

ScLinear 能够以单细胞分辨率预测蛋白质丰度

Hanhart, Daniel; Gossi, Federico; Rapsomaniki, Maria Anna; Kruithof-de Julio, Marianna; Chouvardas, Panagiotis

Matching single cells across modalities with contrastive learning and optimal transport

利用对比学习和最优运输实现跨模态单细胞匹配

Gossi, Federico; Pati, Pushpak; Chouvardas, Panagiotis; Martinelli, Adriano Luca; Kruithof-de Julio, Marianna; Rapsomaniki, Maria Anna

Treatable traits in the NOVELTY study

NOVELTY 研究中的可治疗性状

Agustí, Alvar; Rapsomaniki, Eleni; Beasley, Richard; Hughes, Rod; Müllerová, Hana; Papi, Alberto; Pavord, Ian D; van den Berge, Maarten; Faner, Rosa

Digital Coaching Using Smart Inhaler Technology to Improve Asthma Management in Patients With Asthma in Italy: Community-Based Study

利用智能吸入器技术进行数字化指导以改善意大利哮喘患者的哮喘管理:一项基于社区的研究

Rumi, Gabriele; Canonica, G Walter; Foster, Juliet M; Chavannes, Niels H; Valenti, Giuseppe; Contiguglia, Rosario; Rapsomaniki, Eleni; Kocks, Janwillem W H; De Brasi, Dario; Braido, Fulvio

Correction: Digital Coaching Using Smart Inhaler Technology to Improve Asthma Management in Patients With Asthma in Italy: Community-Based Study

更正:利用智能吸入器技术进行数字化指导以改善意大利哮喘患者的哮喘管理:一项基于社区的研究

Rumi, Gabriele; Canonica, G Walter; Foster, Juliet M; Chavannes, Niels H; Valenti, Giuseppe; Contiguglia, Rosario; Rapsomaniki, Eleni; Kocks, Janwillem W H; De Brasi, Dario; Braido, Fulvio