Multi-omics based artificial intelligence for cancer research.

L Li, M Sun, J Wang, S Wan - Advances in Cancer Research, 2024 - europepmc.org
With significant advancements of next generation sequencing technologies, large amounts
of multi-omics data, including genomics, epigenomics, transcriptomics, proteomics, and …

Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment

I Bukhari, M Li, G Li, J Xu, P Zheng, X Chu - Frontiers in Immunology, 2024 - frontiersin.org
Liver cancer remains one of the most formidable challenges in modern medicine,
characterized by its high incidence and mortality rate. Emerging evidence underscores the …

A clinical prediction model for distant metastases of pediatric neuroblastoma: an analysis based on the SEER database

Z Yan, Y Wu, Y Chen, J Xu, X Zhang, Q Yin - Frontiers in Pediatrics, 2024 - frontiersin.org
Background Patients with distant metastases from neuroblastoma (NB) usually have a
poorer prognosis, and early diagnosis is essential to prevent distant metastases. The aim …

基于机器学习构建乳腺癌骨转移预测模型

欧阳飞, 王阳, 陈瑜, 裴国清, 王陵, 张扬, 石磊 - 中国癌症杂志, 2024 - china-oncology.com
背景与目的: 乳腺癌是全球重大公共卫生问题, 骨是乳腺癌远处转移最常见的部位,
约占所有转移病例的70%. 乳腺癌骨转移可引起一系列并发症, 包括剧烈疼痛, 病理性骨折 …

Construction of the prediction model of breast cancer bone metastasis based on machine learning

O Fei, W Yang, C Yu, PEI Guoqing, W Ling… - China …, 2024 - china-oncology.com
Background and purpose: Breast cancer is a major global public health problem. Bone is the
most common site of distant metastasis of breast cancer, accounting for about 70% of all …