Publications (7)
Current Views on Mechanisms of the FLASH Effect in Cancer Radiotherapy
Yuqi Ma, Ziming Zhao, Wenkang Zhang +9
FLASH radiotherapy (FLASH-RT) is a new modality of radiotherapy by delivering doses with ultra-high dose rates. FLASH-RT has the ability to suppress tumor growth while sparing norm…
Radiology-Report Semantic Modelling and Host-Response Laboratory Biomarkers for Multimodal Survival Prediction in Lung Cancer
Jingxiang Shi, Yiming Wang, Zhengda Li +7
TNM staging is essential for lung cancer management, but patients within the same anatomic stage often show heterogeneous survival outcomes. We developed a multimodal adaptive risk…
Local vaccination and systemic tumor suppression via irradiation and manganese adjuvant in mice
Chunyang Lu, Jing Qian, Jianfeng Lv +15
Presently 4T-1 luc cells were irradiated with proton under ultra-high dose rate FLASH or with gamma-ray with conventional dose rate, and then subcutaneous vaccination with or witho…
Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning
Jueye Zhang, Chao Yang, Youfang Lai +9
Head-and-neck cancer (HNC) planning is difficult because multiple critical organs-at-risk (OARs) are close to complex targets. Intensity-modulated carbon-ion therapy (IMCT) offers…
Double-Strand Break Clustering: An Economical and Effective Strategy for DNA Repair
Junyi Chen, Wenzong Ma, Yuqi Ma +1
In mammalian cells, repair centers for DNA double-strand breaks (DSBs) have been identified. However, previous researches predominantly rely on methods that induce specific DSBs by…
Patient-Level Diagnosis of Acute Myeloid Leukemia via Deep Learning Analysis of Bone Marrow Smear
Yuqi Ma, Tianyi Wang, Weihua Meng +6
Bone marrow smear review remains important for acute myeloid leukemia (AML) assessment, but manual single-cell interpretation is labor-intensive and patient-level diagnosis require…
CADIC: Continual Anomaly Detection Based on Incremental Coreset
Gen Yang, Zhipeng Deng, Junfeng Man
The primary objective of Continual Anomaly Detection (CAD) is to learn the normal patterns of new tasks under dynamic data distribution assumptions while mitigating catastrophic fo…