Informing immunotherapy with multi-omics driven machine learning

Y Li, X Wu, D Fang, Y Luo - npj Digital Medicine, 2024 - nature.com
Progress in sequencing technologies and clinical experiments has revolutionized
immunotherapy on solid and hematologic malignancies. However, the benefits of …

State-dependent evolutionary models reveal modes of solid tumour growth

MA Lewinsohn, T Bedford, NF Müller… - Nature Ecology & …, 2023 - nature.com
Spatial properties of tumour growth have profound implications for cancer progression,
therapeutic resistance and metastasis. Yet, how spatial position governs tumour cell division …

[HTML][HTML] Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer

Z Liu, S Weng, Q Dang, H Xu, Y Ren, C Guo, Z Xing… - Elife, 2022 - ncbi.nlm.nih.gov
Molecular subtypes of colorectal cancer (CRC) are currently identified via the snapshot
transcriptional profiles, largely ignoring the dynamic changes of gene expressions …

Revolutionizing breast cancer Ki-67 diagnosis: ultrasound radiomics and fully connected neural networks (FCNN) combination method

Y Li, W Long, H Zhou, T Tan, H Xie - Breast Cancer Research and …, 2024 - Springer
Purpose This study aims to assess the diagnostic value of ultrasound habitat sub-region
radiomics feature parameters using a fully connected neural networks (FCNN) combination …

肿瘤演化过程中的进化生态: 概念, 应用与创新[生物的演化与适应专刊]

刘灿, 翟巍巍, 吕雪梅 - 遗传, 2024 - chinagene.cn
肿瘤本身是一个复杂的微生态系统, 存在复杂时空动态和多维度的互作关系,
其超乎想象的异质性与演化能力已经超出了传统肿瘤医学的认知. 如何系统性地从物质, 能量 …

High-density sampling reveals volume growth in human tumours

A Angaji, M Owusu, C Velling, N Dick, D Weghorn… - Elife, 2024 - elifesciences.org
In growing cell populations such as tumours, mutations can serve as markers that allow
tracking the past evolution from current samples. The genomic analyses of bulk samples and …