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

Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC

机器学习驱动的转移性非小细胞肺癌免疫疗法调整策略

Saad, Maliazurina B; Al-Tashi, Qasem; Hong, Lingzhi; Verma, Vivek; Li, Wentao; Boiarsky, Daniel; Li, Shenduo; Petranovic, Milena; Wu, Carol C; Carter, Brett W; Shroff, Girish S; Cascone, Tina; Le, Xiuning; Elamin, Yasir Y; Altan, Mehmet; Heeke, Simon; Sheshadri, Ajay; Chang, Joe Y; Lee, Percy P; Liao, Zhongxing; Gibbons, Don L; Vaporciyan, Ara A; Lee, J Jack; Wistuba, Ignacio I; Haymaker, Cara; Mirjalili, Seyedali; Jaffray, David; Gainor, Justin F; Lou, Yanyan; Di Federico, Alessandro; Pecci, Federica; Awad, Mark; Ricciuti, Biagio; Heymach, John V; Vokes, Natalie I; Zhang, Jianjun; Wu, Jia

Causal AI-based clinical and radiomic analysis for optimizing patient selection in combined immunotherapy and SABR in early-stage NSCLC: a secondary analysis of the phase II I-SABR trial

基于因果人工智能的临床和放射组学分析用于优化早期非小细胞肺癌联合免疫疗法和立体定向消融放疗(SABR)的患者选择:II期I-SABR试验的二次分析

Saad, Maliazurina B; Showkatian, Eman; Verma, Vivek; Al-Tashi, Qasem; Aminu, Muhammad; Xu, Xinyan; Qayati Mohamed, Muhamed; Salehjahromi, Morteza; Sujit, Sheeba J; Kitsel, Yuliya; Lin, Steven H MD,; Liao, Zhongxing; Gandhi, Saumil; Qian, David; Jaffray, David; Chung, Caroline; Vokes, Natalie I; Zhang, Jianjun; Lee, J Jack; Heymach, John V; Wu, Jia; Chang, Joe Y

Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients' electrocardiograms

开发和验证一种机器学习模型,用于根据患者心电图预测心肌血流和临床结果

Alahdab, Fares; Saad, Maliazurina Binti; Ahmed, Ahmed Ibrahim; Al Tashi, Qasem; Aminu, Muhammad; Han, Yushui; Moody, Jonathan B; Murthy, Venkatesh L; Wu, Jia; Al-Mallah, Mouaz H

Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study

利用基于CT的集成深度学习预测非小细胞肺癌患者从免疫检查点抑制剂治疗中获益:一项回顾性研究

Saad, Maliazurina B; Hong, Lingzhi; Aminu, Muhammad; Vokes, Natalie I; Chen, Pingjun; Salehjahromi, Morteza; Qin, Kang; Sujit, Sheeba J; Lu, Xuetao; Young, Elliana; Al-Tashi, Qasem; Qureshi, Rizwan; Wu, Carol C; Carter, Brett W; Lin, Steven H; Lee, Percy P; Gandhi, Saumil; Chang, Joe Y; Li, Ruijiang; Gensheimer, Michael F; Wakelee, Heather A; Neal, Joel W; Lee, Hyun-Sung; Cheng, Chao; Velcheti, Vamsidhar; Lou, Yanyan; Petranovic, Milena; Rinsurongkawong, Waree; Le, Xiuning; Rinsurongkawong, Vadeerat; Spelman, Amy; Elamin, Yasir Y; Negrao, Marcelo V; Skoulidis, Ferdinandos; Gay, Carl M; Cascone, Tina; Antonoff, Mara B; Sepesi, Boris; Lewis, Jeff; Wistuba, Ignacio I; Hazle, John D; Chung, Caroline; Jaffray, David; Gibbons, Don L; Vaporciyan, Ara; Lee, J Jack; Heymach, John V; Zhang, Jianjun; Wu, Jia

SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers

SwarmDeepSurv:群体智能推进深度生存网络在四种实体癌预后放射组学特征中的应用

Al-Tashi, Qasem; Saad, Maliazurina B; Sheshadri, Ajay; Wu, Carol C; Chang, Joe Y; Al-Lazikani, Bissan; Gibbons, Christopher; Vokes, Natalie I; Zhang, Jianjun; Lee, J Jack; Heymach, John V; Jaffray, David; Mirjalili, Seyedali; Wu, Jia

Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review

机器学习模型在识别预后和预测性癌症生物标志物中的应用:系统综述

Al-Tashi, Qasem; Saad, Maliazurina B; Muneer, Amgad; Qureshi, Rizwan; Mirjalili, Seyedali; Sheshadri, Ajay; Le, Xiuning; Vokes, Natalie I; Zhang, Jianjun; Wu, Jia