Application of Bioinformatics, Machine Learning, and Artificial Intelligence to Improve Diagnosis, Prognosis and Treatment of Cancer

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ORIGINAL RESEARCH

Published on 19 Dec 2024

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Keyuan Zhao
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221 views

ORIGINAL RESEARCH

Published on 27 Nov 2024

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doi 10.3389/fonc.2024.1499794

452 views

ORIGINAL RESEARCH

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doi 10.3389/fimmu.2024.1489171

582 views

ORIGINAL RESEARCH

Published on 22 Nov 2024

Machine learning based anoikis signature predicts personalized treatment strategy of breast cancer

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doi 10.3389/fimmu.2024.1491508

461 views

ORIGINAL RESEARCH

Published on 19 Sep 2024

Machine learning to predict distant metastasis and prognostic analysis of moderately differentiated gastric adenocarcinoma patients: a novel focus on lymph node indicators

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doi 10.3389/fimmu.2024.1398685

765 views

ORIGINAL RESEARCH

Published on 29 Aug 2024

Exploring the molecular and immune landscape of cellular senescence in lung adenocarcinoma

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Cong Wu
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Wen T. An
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Yu T. Ma
Yu Hao
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Miao Q. Zhao

doi 10.3389/fimmu.2024.1347770

1,113 views

ORIGINAL RESEARCH

Published on 24 May 2024

Pan-cancer analysis predict that FAT1 is a therapeutic target and immunotherapy biomarker for multiple cancer types including non-small cell lung cancer

Chen Ding
Hua Huang
Di Wu
Chen Chen
Yu Hua
Jinghao Liu
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doi 10.3389/fimmu.2024.1369073

1,354 views

ORIGINAL RESEARCH

Published on 21 May 2024

Mining bone metastasis related key genes of prostate cancer from the STING pathway based on machine learning

Guiqiang Li
Runhan Zhao
Zhou Xie
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Yingtao Duan
Yafei Zhu
Hao Liang
Dagang Tang
Zefang Li
Weiyang He

doi 10.3389/fmed.2024.1372495

830 views

ORIGINAL RESEARCH

Published on 27 Mar 2024

Construction and validation of a machine learning-based nomogram to predict the prognosis of HBV associated hepatocellular carcinoma patients with high levels of hepatitis B surface antigen in primary local treatment: a multicenter study

Yiqi Xiong
Wenying Qiao
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Ronghua Jin
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doi 10.3389/fimmu.2024.1357496

1,085 views

ORIGINAL RESEARCH

Published on 20 Mar 2024

Radiomics model based on intratumoral and peritumoral features for predicting major pathological response in non-small cell lung cancer receiving neoadjuvant immunochemotherapy

Dingpin Huang
Chen Lin
Yangyang Jiang
Enhui Xin
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Yi Gan
Rui Xu
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Haiping Zhang
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Hongjie Hu

doi 10.3389/fonc.2024.1348678

1,104 views
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Aging and Cancer

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Articles

Exploration and validation of a novel reactive oxygen species–related signature for predicting the prognosis and chemotherapy response of patients with bladder cancer

Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms

Prediction of acute myeloid leukemia prognosis based on autophagy features and characterization of its immune microenvironment

Machine learning based anoikis signature predicts personalized treatment strategy of breast cancer

Machine learning to predict distant metastasis and prognostic analysis of moderately differentiated gastric adenocarcinoma patients: a novel focus on lymph node indicators

Exploring the molecular and immune landscape of cellular senescence in lung adenocarcinoma

Pan-cancer analysis predict that FAT1 is a therapeutic target and immunotherapy biomarker for multiple cancer types including non-small cell lung cancer

Mining bone metastasis related key genes of prostate cancer from the STING pathway based on machine learning

Construction and validation of a machine learning-based nomogram to predict the prognosis of HBV associated hepatocellular carcinoma patients with high levels of hepatitis B surface antigen in primary local treatment: a multicenter study

Radiomics model based on intratumoral and peritumoral features for predicting major pathological response in non-small cell lung cancer receiving neoadjuvant immunochemotherapy

Frontiers in Aging

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