When artificial intelligence meets PD-1/PD-L1 inhibitors: Population screening, response prediction and efficacy evaluation

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images

(2022) Isaac Shiri et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Development and Validation of a Contrast-Enhanced CT-Based Radiomics Nomogram for Prediction of Therapeutic Efficacy of Anti-PD-1 Antibodies in Advanced HCC Patients

(2021) Guosheng Yuan et al.   Frontiers in Immunology

Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI

(2021) Nguyen Quoc Khanh Le et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Predictive biomarkers of anti-PD-1/PD-L1 therapy in NSCLC

(2021) Mengke Niu et al.   Experimental Hematology & Oncology

Three-Dimensional Deep Noninvasive Radiomics for the Prediction of Disease Control in Patients With Metastatic Urothelial Carcinoma treated With Immunotherapy

(2021) Francesco Rundo et al.   Clinical Genitourinary Cancer

Five-Year Outcomes With Pembrolizumab Versus Chemotherapy for Metastatic Non–Small-Cell Lung Cancer With PD-L1 Tumor Proportion Score ≥ 50%

(2021) Martin Reck et al.   JOURNAL OF CLINICAL ONCOLOGY

MeImmS: Predict Clinical Benefit of Anti-PD-1/PD-L1 Treatments Based on DNA Methylation in Non-small Cell Lung Cancer

(2021) Shipeng Shang et al.   Frontiers in Genetics

Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature

(2021) Zahra Khodabakhshi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Preliminary Study of the Complement Component 1q Levels in Predicting the Efficacy of Combined Immunotherapy in Patients with Lung Cancer

(2021) Daoming Zhang et al.   Cancer Management and Research

Automated PD-L1 Scoring Using Artificial Intelligence in Head and Neck Squamous Cell Carcinoma

(2021) Behrus Puladi et al.   Cancers

How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies

(2021) Xinran Wang et al.   npj Breast Cancer

Transparency of deep neural networks for medical image analysis: A review of interpretability methods

(2021) Zohaib Salahuddin et al.   COMPUTERS IN BIOLOGY AND MEDICINE

MRI-based radiomics distinguish different pathological types of hepatocellular carcinoma

(2021) Xuehu Wang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep reinforcement learning in medical imaging: A literature review

(2021) S. Kevin Zhou et al.   MEDICAL IMAGE ANALYSIS

Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images

(2021) Gang Yu et al.   Nature Communications

Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma

(2020) Hamed Akbari et al.   CANCER

The immune-metabolic-prognostic index and clinical outcomes in patients with non-small cell lung carcinoma under checkpoint inhibitors

(2020) Angelo Castello et al.   JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY

Neoadjuvant checkpoint blockade for cancer immunotherapy

(2020) Suzanne L. Topalian et al.   SCIENCE

Computational recognition of lncRNA signature of tumor-infiltrating B lymphocytes with potential implications in prognosis and immunotherapy of bladder cancer

(2020) Meng Zhou et al.   BRIEFINGS IN BIOINFORMATICS

Radiomics, tumor volume and blood biomarkers for early prediction of pseudoprogression in metastatic melanoma patients treated with immune checkpoint inhibition

(2020) Lucas Basler et al.   CLINICAL CANCER RESEARCH

Efficacy of Immune Checkpoint Inhibitor Monotherapy for Advanced Non-Small-Cell Lung Cancer with ALK Rearrangement

(2020) Yuko Oya et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Machine learning for prediction of cutaneous adverse events in patients receiving anti-PD-1 immunotherapy

(2020) Ryan T. Lewinson et al.   JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY

Particular findings on lung CT in patients undergoing immunotherapy for bronchogenic carcinoma

(2020) Lucian Beer et al.   WIENER KLINISCHE WOCHENSCHRIFT

18F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival

(2020) Giulia Polverari et al.   Cancers

Artificial Intelligence and Mechanistic Modeling for Clinical Decision Making in Oncology

(2020) Sebastien Benzekry   CLINICAL PHARMACOLOGY & THERAPEUTICS

Radiomics and “radi-…omics” in cancer immunotherapy: a guide for clinicians

(2020) Michele Porcu et al.   CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY

Efficacy of anti-PD-1 antibodies in NSCLC patients with an EGFR mutation and high PD-L1 expression

(2020) Ken Masuda et al.   JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY

A novel approach combined transfer learning and deep learning to predict TMB from histology image

(2020) Liansheng Wang et al.   PATTERN RECOGNITION LETTERS

Incidence of Pseudoprogression during Immune Checkpoint Inhibitor Therapy for Solid Tumors: A Systematic Review and Meta-Analysis

(2020) Hyo Jung Park et al.   RADIOLOGY

Pseudoprogression during Immune Checkpoint Inhibitor Therapy for Solid Tumors: Clarity Amidst Rapid Evolution

(2020) Jonathan D. Dodd et al.   RADIOLOGY

Radiomics can predict tumour response in patients treated with Nivolumab for a metastatic renal cell carcinoma: an artificial intelligence concept

(2020) Zine‐Eddine Khene et al.   WORLD JOURNAL OF UROLOGY

A deep learning model to predict RNA-Seq expression of tumours from whole slide images

(2020) Benoît Schmauch et al.   Nature Communications

Comparison of Metabolic and Morphological Response Criteria for Early Prediction of Response and Survival in NSCLC Patients Treated With Anti-PD-1/PD-L1

(2020) Angelo Castello et al.   Frontiers in Oncology

Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools

(2020) Giovanna Nicora et al.   Frontiers in Oncology

Reinforcement learning for intelligent healthcare applications: A survey

(2020) Antonio Coronato et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Association of tumour mutational burden with outcomes in patients with advanced solid tumours treated with pembrolizumab: prospective biomarker analysis of the multicohort, open-label, phase 2 KEYNOTE-158 study

(2020) Aurélien Marabelle et al.   LANCET ONCOLOGY

The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies

(2020) Shogo Kumagai et al.   NATURE IMMUNOLOGY

Non-invasive decision support for NSCLC treatment using PET/CT radiomics

(2020) Wei Mu et al.   Nature Communications

A Review of Integrative Imputation for Multi-Omics Datasets

(2020) Meng Song et al.   Frontiers in Genetics

Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade

(2020) Pranjal Vaidya et al.   Journal for ImmunoTherapy of Cancer

Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer

(2020) Nupur Biswas et al.   Frontiers in Oncology

A multiparametric approach to improve the prediction of response to immunotherapy in patients with metastatic NSCLC

(2020) Marzia Del Re et al.   CANCER IMMUNOLOGY IMMUNOTHERAPY

Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma

(2020) Paul Johannet et al.   CLINICAL CANCER RESEARCH

Intrahepatic cholangiocarcinoma: MRI texture signature as predictive biomarkers of immunophenotyping and survival

(2020) Jun Zhang et al.   EUROPEAN RADIOLOGY

Assessment of Blood Tumor Mutational Burden as a Potential Biomarker for Immunotherapy in Patients With Non–Small Cell Lung Cancer With Use of a Next-Generation Sequencing Cancer Gene Panel

(2019) Zhijie Wang et al.   JAMA Oncology

Monitoring anti-PD-1-based immunotherapy in non-small cell lung cancer with FDG PET: introduction of iPERCIST

(2019) Lucas Goldfarb et al.   EJNMMI Research

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

Predicting Response to Cancer Immunotherapy using Non-invasive Radiomic Biomarkers

(2019) S Trebeschi et al.   ANNALS OF ONCOLOGY

The diversity of gut microbiome is associated with favorable responses to anti-PD-1 immunotherapy in Chinese non-small cell lung cancer patients

(2019) Yueping Jin et al.   Journal of Thoracic Oncology

Molecular characterization of clinical responses to PD‐1/PD‐L1 inhibitors in non‐small cell lung cancer: Predictive value of multidimensional immunomarker detection for the efficacy of PD‐1 inhibitors in Chinese patients

(2019) Peng Song et al.   Thoracic Cancer

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma

(2019) Nabil Elshafeey et al.   Nature Communications

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

(2019) Kaustav Bera et al.   Nature Reviews Clinical Oncology

18FDG PET/CT in the early assessment of non-small cell lung cancer response to immunotherapy: frequency and clinical significance of atypical evolutive patterns

(2019) O. Humbert et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Circulating microRNAs predict the response to anti-PD-1 therapy in non-small cell lung cancer

(2019) Jinshuo Fan et al.   GENOMICS

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Advanced Deep Learning Embedded Motion Radiomics Pipeline for Predicting Anti-PD-1/PD-L1 Immunotherapy Response in the Treatment of Bladder Cancer: Preliminary Results

(2019) Rundo et al.   Electronics

Radiomics of 18F-FDG PET/CT images predicts clinical benefit of advanced NSCLC patients to checkpoint blockade immunotherapy

(2019) Wei Mu et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

DC‐AL GAN: Pseudoprogression and true tumor progression of glioblastoma multiform image classification based on DCGAN and AlexNet

(2019) Meiyu Li et al.   MEDICAL PHYSICS

TP53,STK11andEGFRMutations Predict Tumor Immune Profile and the Response to anti-PD-1 in Lung Adenocarcinoma

(2018) Jerome Biton et al.   CLINICAL CANCER RESEARCH

Machine learning in laboratory medicine: waiting for the flood?

(2018) Federico Cabitza et al.   CLINICAL CHEMISTRY AND LABORATORY MEDICINE

Combined SOM-portrayal of gene expression and DNA methylation landscapes disentangles modes of epigenetic regulation in glioblastoma

(2018) Lydia Hopp et al.   Epigenomics

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

(2018) Joel Saltz et al.   Cell Reports

Machine Learning Methods for Histopathological Image Analysis

(2018) Daisuke Komura et al.   Computational and Structural Biotechnology Journal

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

(2018) Roger Sun et al.   LANCET ONCOLOGY

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Radiation Necrosis, Pseudoprogression, Pseudoresponse, and Tumor Recurrence: Imaging Challenges for the Evaluation of Treated Gliomas

(2018) Anastasia Zikou et al.   Contrast Media & Molecular Imaging

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Imaging of Cancer Immunotherapy: Current Approaches and Future Directions

(2018) Mizuki Nishino et al.   RADIOLOGY

First-Line Nivolumab in Stage IV or Recurrent Non–Small-Cell Lung Cancer

(2017) David P. Carbone et al.   NEW ENGLAND JOURNAL OF MEDICINE

Transcriptomics technologies

(2017) Rohan Lowe et al.   PLoS Computational Biology

PD-1 and PD-L1 Checkpoint Signaling Inhibition for Cancer Immunotherapy: Mechanism, Combinations, and Clinical Outcome

(2017) Hashem O. Alsaab et al.   Frontiers in Pharmacology

Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade

(2016) N. McGranahan et al.   SCIENCE

Significance of different response evaluation criteria in predicting progression-free survival of lung cancer with certain imaging characteristics

(2016) Dengxia Yang et al.   Thoracic Cancer

Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer

(2015) N. A. Rizvi et al.   SCIENCE