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

The future of mathematical oncology in the age of AI

人工智能时代数学肿瘤学的未来

Rockne, Russell C; Andersen, Morten; Anderson, Alexander R A; Basanta, David; Bentivegna, Angela; Benzekry, Sebastien; Branciamore, Sergio; Brüningk, Sarah C; Conte, Martina; Farahpour, Farnoush; Karolak, Aleksandra; Köhn-Luque, Alvaro; Lorenzo, Guillermo; Manookian, Babgen; Rodin, Andrei S; Schmalenstroer, Lara; Soler, Juan; Tomasetti, Cristian; Urbaniak, Konstancja

75 Years of Mathematical Oncology

数学肿瘤学75周年

Pradelli, Franco; Strobl, Maximilian; Marzban, Sadegh; de Kermenguy, François; Barnett, Ari; Ganesan, Katyayni; Lorenzo, Guillermo; Hormuth, David A 2nd; Hamis, Sara; Bhaskar, Dhananjay; Anderson, Alexander R A; West, Jeffrey

A critical assessment of artificial intelligence in magnetic resonance imaging of cancer

对人工智能在癌症磁共振成像中的应用进行批判性评估

Wu, Chengyue; Andaloussi, Meryem Abbad; Hormuth, David A 2nd; Lima, Ernesto A B F; Lorenzo, Guillermo; Stowers, Casey E; Ravula, Sriram; Levac, Brett; Dimakis, Alexandros G; Tamir, Jonathan I; Brock, Kristy K; Chung, Caroline; Yankeelov, Thomas E

Designing clinical trials for patients who are not average

为非普通患者设计临床试验

Yankeelov, Thomas E; Hormuth, David A 2nd; Lima, Ernesto A B F; Lorenzo, Guillermo; Wu, Chengyue; Okereke, Lois C; Rauch, Gaiane M; Venkatesan, Aradhana M; Chung, Caroline

A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model

一项基于影像生物力学模型的前列腺癌主动监测期间患者个体化计算预测试点研究

Lorenzo, Guillermo; Heiselman, Jon S; Liss, Michael A; Miga, Michael I; Gomez, Hector; Yankeelov, Thomas E; Reali, Alessandro; Hughes, Thomas J R

A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data.

以体外和体内成像数据为约束条件,对三阴性乳腺癌新辅助化疗机制模型进行全球敏感性分析

Lorenzo Guillermo, Jarrett Angela M, Meyer Christian T, DiCarlo Julie C, Virostko John, Quaranta Vito, Tyson Darren R, Yankeelov Thomas E

Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States

对改进的SEIRD模型进行动态参数化,以分析和预测美国COVID-19疫情的动态变化

Davarci, Orhun O; Yang, Emily Y; Viguerie, Alexander; Yankeelov, Thomas E; Lorenzo, Guillermo

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas

利用预测性数字孪生技术优化高级别胶质瘤患者在不确定性条件下的个体化放射治疗方案

Chaudhuri, Anirban; Pash, Graham; Hormuth, David A 2nd; Lorenzo, Guillermo; Kapteyn, Michael; Wu, Chengyue; Lima, Ernesto A B F; Yankeelov, Thomas E; Willcox, Karen

Patient-specific forecasting of postradiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapse

对接受放疗后前列腺特异性抗原动力学的患者进行个体化预测,能够早期预测生化复发

Lorenzo, Guillermo; di Muzio, Nadia; Deantoni, Chiara Lucrezia; Cozzarini, Cesare; Fodor, Andrei; Briganti, Alberto; Montorsi, Francesco; Pérez-García, Víctor M; Gomez, Hector; Reali, Alessandro

Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology

将基于机制的建模与生物医学成像相结合,构建用于临床肿瘤学的实用数字孪生模型

Wu, Chengyue; Lorenzo, Guillermo; Hormuth, David A 2nd; Lima, Ernesto A B F; Slavkova, Kalina P; DiCarlo, Julie C; Virostko, John; Phillips, Caleb M; Patt, Debra; Chung, Caroline; Yankeelov, Thomas E