AIMC Topic: Immunotherapy

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Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy.

Journal for immunotherapy of cancer Mar 15, 2025
BACKGROUND: Accurate prediction of pathologic complete response (pCR) following neoadjuvant immunotherapy combined with chemotherapy (nICT) is crucial for tailoring patient care in esophageal squamous cell carcinoma (ESCC). This study aimed to develo...
Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Radiomics Male Middle Aged Humans Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Pathologic Complete Response Deep Learning Immunotherapy Treatment Outcome Neoadjuvant Therapy
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Unraveling the power of NAP-CNB's machine learning-enhanced tumor neoantigen prediction.

eLife Mar 11, 2025
In this study, we present a proof-of-concept classical vaccination experiment that validates the in silico identification of tumor neoantigens (TNAs) using a machine learning-based platform called NAP-CNB. Unlike other TNA predictors, NAP-CNB leverag...
Machine Learning Female Animals Neoplasms Cancer Vaccines Antigens, Neoplasm Vaccination Mice Immunotherapy Humans
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Advancing sepsis diagnosis and immunotherapy machine learning-driven identification of stable molecular biomarkers and therapeutic targets.

Scientific reports Mar 11, 2025
Sepsis represents a significant global health challenge, necessitating early detection and effective treatment for improved outcomes. While traditional inflammatory markers facilitate the diagnosis of sepsis, the aspect of immune suppression remains ...
Sepsis Gene Regulatory Networks Immunotherapy Humans Machine Learning Algorithms Biomarkers
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Multimodal deep learning for predicting PD-L1 biomarker and clinical immunotherapy outcomes of esophageal cancer.

Frontiers in immunology Mar 11, 2025
Although the immune checkpoint inhibitors (ICIs) have demonstrated remarkable anti-tumor efficacy in solid tumors, the proportion of ESCC patients who benefit from ICIs remains limited. Current biomarkers have assisted in identifying potential respon...
B7-H1 Antigen Immunotherapy Treatment Outcome Esophageal Neoplasms Male Middle Aged Deep Learning Immune Checkpoint Inhibitors Humans Female Aged Biomarkers, Tumor
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Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Scientific reports Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Neoplasm Invasiveness Liver Meta-Analysis as Topic Mutation Single-Cell Gene Expression Analysis Immunotherapy Gene Expression Regulation, Neoplastic Treatment Outcome Datasets as Topic Kaplan-Meier Estimate Microvessels Immune Checkpoint Proteins Machine Learning Precision Medicine Prognosis Clinical Decision-Making Biomarkers, Tumor Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular Humans
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Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Computers in biology and medicine Mar 4, 2025
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a no...
Humans Machine Learning Retrospective Studies Female Randomized Controlled Trials as Topic Mutation Paclitaxel Liquid Biopsy Clinical Trials, Phase III as Topic Bevacizumab Lung Neoplasms Immunotherapy Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Aged Biomarkers, Tumor Male Middle Aged
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Pretrained transformers applied to clinical studies improve predictions of treatment efficacy and associated biomarkers.

Nature communications Mar 1, 2025
Cancer treatment has made significant advancements in recent decades, however many patients still experience treatment failure or resistance. Attempts to identify determinants of response have been hampered by a lack of tools that simultaneously acco...
Neoplasms Deep Learning Immunotherapy Treatment Outcome Humans Biomarkers, Tumor
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Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography.

JCO clinical cancer informatics Feb 20, 2025
PURPOSE: Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include severe side effects (such as potentially life threatening pneumonitis [PN]), which can cause the discontinuation of treatment. Predicting which p...
Deep Learning Immune Checkpoint Inhibitors Immunotherapy Pneumonia Radiomics Male Middle Aged Neoplasms Humans Tomography, X-Ray Computed Female Aged
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G2M-checkpoint related immune barrier structure and signature for prognosis and immunotherapy response in hepatocellular carcinoma: insights from spatial transcriptome and machine learning.

Journal of translational medicine Feb 18, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) treatment remains challenging, particularly for immune checkpoint inhibitors (ICIs) non-response patients. Spatial transcriptome (ST) data and machine learning algorithms offer new insights into understandin...
Cell Proliferation Apoptosis G2 Phase Cell Cycle Checkpoints Carcinoma, Hepatocellular Immune Checkpoint Inhibitors Immunotherapy Gene Expression Regulation, Neoplastic Male Transcriptome Cell Line, Tumor Liver Neoplasms Humans Machine Learning Prognosis Reproducibility of Results
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CT-Based Deep Learning Predicts Prognosis in Esophageal Squamous Cell Cancer Patients Receiving Immunotherapy Combined with Chemotherapy.

Academic radiology Feb 15, 2025
RATIONALE AND OBJECTIVES: Immunotherapy combined with chemotherapy has improved outcomes for some esophageal squamous cell carcinoma (ESCC) patients, but accurate pre-treatment risk stratification remains a critical gap. This study constructed a deep...
Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Deep Learning Immunotherapy Esophageal Neoplasms Combined Modality Therapy Esophageal Squamous Cell Carcinoma Female Aged Male Middle Aged
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