AIMC Topic: Nivolumab
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Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.
JCO clinical cancer informatics
Apr 25, 2025
PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell carcinoma (RCC). However, the therapeutic response varies among patients. This study aimed to predict tumor response to nivolumab anti-PD-1 antibody ...
Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models.
BMC medical informatics and decision making
Oct 13, 2022
BACKGROUND: Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers. However, due to the large number of clinical trials and published articles, searching for this knowledge...
Radiomics can predict tumour response in patients treated with Nivolumab for a metastatic renal cell carcinoma: an artificial intelligence concept.
World journal of urology
Jul 6, 2020
Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.
Clinical cancer research : an official journal of the American Association for Cancer Research
Mar 20, 2020
PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell lung cancer (NSCLC), we defined radiomics signatures predicting the sensitivity of tumors to nivolumab, docetaxel, and gefitinib.
Prognosis
Retrospective Studies
Humans
Machine Learning
Carcinoma, Non-Small-Cell Lung
Randomized Controlled Trials as Topic
Clinical Trials, Phase II as Topic
Male
Tomography, X-Ray Computed
Lung Neoplasms
Disease Progression
Female
Clinical Trials, Phase III as Topic
Nivolumab
Antineoplastic Combined Chemotherapy Protocols
Survival Rate
Gefitinib
Docetaxel
A Machine-Learning Approach to Identify a Prognostic Cytokine Signature That Is Associated With Nivolumab Clearance in Patients With Advanced Melanoma.
Clinical pharmacology and therapeutics
Dec 19, 2019
Lower clearance of immune checkpoint inhibitors is a predictor of improved overall survival (OS) in patients with advanced cancer. We investigated a novel approach using machine learning to identify a baseline composite cytokine signature via clearan...
Initial results of pulmonary resection after neoadjuvant nivolumab in patients with resectable non-small cell lung cancer.
The Journal of thoracic and cardiovascular surgery
Dec 13, 2018
OBJECTIVE: We conducted a phase I trial of neoadjuvant nivolumab, a monoclonal antibody to the programmed cell death protein 1 checkpoint receptor, in patients with resectable non-small cell lung cancer. We analyzed perioperative outcomes to assess t...
[ARTIFICIAL INTELLIGENCE-ASSISTED LITERATURE REVIEW: A CASE STUDY IN FUMARATE HYDRATASE-DEFICIENT RENAL CELL CARCINOMA].
Harefuah
May 1, 2025
Fumarate hydratase-deficient renal cell carcinoma (FHdRCC) is a rare and aggressive form of kidney cancer that presents significant therapeutic challenges. Due to its rarity, treatment decisions often rely on comprehensive literature reviews to ident...
[A Case of Juvenile AFP-Producing Gastric Cancer with Virchow Lymph Node Metastasis Achieved Long-Term Survival with Multimodal Therapy].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2023
A 25-year-old male received palliative total gastrectomy plus D1 dissection plus Roux-en-Y reconstruction for hemorrhagic gastric cancer with left Virchow lymph node metastasis in 2013. The final diagnosis was Type 2, pT4a(se), pap>tub2 >hepatoid ade...
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