Research graph
References from Artificial intelligence powered precision oncology. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Unresolved reference
External reference
Predicting treatment response to intra-arterial therapies for hepatocellular carcinoma with the use of supervised machine learning—an artificial intelligence concept
10.1016/j.jvir.2018.01.769 · 2018 · External reference
AI-driven drug discovery and development
2024 · External reference
Breast cancer detection using K-nearest neighbor machine learning algorithm
2017 · External reference
Diagnosis of lung cancer based on CT scans using CNN
10.1088/1757-899x/928/2/022035 · 2020 · External reference
Factors predicting response to treatment in rheumatoid arthritis: the importance of disease duration
10.1002/1529-0131(200001)43:1<22::aid-anr4>3.0.co;2-9 · 2000 · External reference
A combined deep CNN: LSTM with a random forest approach for breast cancer diagnosis
10.1155/2022/9299621 · 2022 · External reference
Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology
10.1038/s41571-019-0252-y · 2019 · External reference
Artificial intelligence for precision oncology
2022 · External reference
Detection of cancer in lung with K-NN classification using genetic algorithm
10.1016/j.mspro.2015.06.077 · 2015 · External reference
OpenGDC: unifying, modeling, integrating cancer genomic data and clinical metadata
10.3390/app10186367 · 2020 · External reference
Deep learning–based multi-omics integration robustly predicts survival in liver cancer
10.1158/1078-0432.ccr-17-0853 · 2018 · External reference
Accurate and reproducible invasive breast cancer detection in whole-slide images: a deep learning approach for quantifying tumor extent
10.1038/srep46450 · 2017 · External reference
Cancer diagnosis in histopathological image: CNN based approach
10.1016/j.imu.2019.100231 · 2019 · External reference
Clinically applicable deep learning for diagnosis and referral in retinal disease
10.1038/s41591-018-0107-6 · 2018 · External reference
Artificial intelligence (AI) and big data in cancer and precision oncology
10.1016/j.csbj.2020.08.019 · 2020 · External reference
AI and precision oncology in clinical cancer genomics: from prevention to targeted cancer therapies-an outcomes based patient care
10.1016/j.imu.2022.100965 · 2022 · External reference
Artificial intelligence in cancer research, diagnosis and therapy
10.1038/s41568-021-00399-1 · 2021 · External reference
Dermatologist-level classification of skin cancer with deep neural networks
10.1038/nature21056 · 2017 · External reference
The potential applications of artificial intelligence in drug discovery and development
10.33549/physiolres.934765 · 2021 · External reference
SD-CNN: a shallow-deep CNN for improved breast cancer diagnosis
10.1016/j.compmedimag.2018.09.004 · 2018 · External reference
Application of artificial intelligence technology in oncology: towards the establishment of precision medicine
10.3390/cancers12123532 · 2020 · External reference
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
10.1016/j.gie.2018.07.037 · 2019 · External reference
Asthma and chronic obstructive pulmonary disease (COPD) prediction using PEEP expiratory occlusion data: a hybrid approach with random forest and feedforward neural network
10.1109/ispcc66872.2025.11039525 · 2025 · External reference
Artificial intelligence for clinical oncology
10.1016/j.ccell.2021.04.002 · 2021 · External reference
Early diagnosis of Alzheimer’s disease using machine learning based methods
2021 · External reference
Breast cancer detection using machine learning algorithms
2022 · External reference
Predicting patients’ responses to psychotherapy: are some more predictable than others?
10.1037/0022-006x.67.5.698 · 1999 · External reference
Artificial Intelligence in drug discovery and development
2024 · External reference
International evaluation of an AI system for breast cancer screening
10.1038/s41586-019-1799-6 · 2020 · External reference
Applications of artificial intelligence (AI) in ovarian cancer, pancreatic cancer, and image biomarker discovery
10.3233/cbm-210301 · 2022 · External reference
Predicting cancer outcomes from histology and genomics using convolutional networks
10.1073/pnas.1717139115 · 2018 · External reference
Artificial intelligence in liver diseases: improving diagnostics, prognostics and response prediction
10.1016/j.jhepr.2022.100443 · 2022 · External reference
AI-based imaging biomarker in mammography for prediction of tumor invasiveness
10.1200/jco.2021.39.15_suppl.1568 · 2021 · External reference
AI in medical imaging informatics: current challenges and future directions
10.1109/jbhi.2020.2991043 · 2020 · External reference
Machine learning in medicine
10.1056/nejmra1814259 · 2019 · External reference
CheXNet: radiologist-level pneumonia detection on chest X-rays with deep learning
2017 · External reference
A path for translation of machine learning products into healthcare delivery
2020 · External reference
Leveraging state-of-the-art AI algorithms in personalized oncology: from transcriptomics to treatment
10.3390/diagnostics14192174 · 2024 · External reference
Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis
10.1109/jbhi.2017.2767063 · 2018 · External reference
Structure based inference of functional single nucleotide polymorphism and its role in TGFβ1 allied colorectal cancer (CRC)
10.1504/ijbra.2021.113965 · 2021 · External reference
AlzGenPred—CatBoost-based gene classifier for predicting Alzheimer’s disease using high-throughput sequencing data
10.1038/s41598-024-82208-x · 2024 · External reference
Watson for oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board
10.1093/annonc/mdx781 · 2018 · External reference
Cancer immunology and immunotherapy
10.21873/anticanres.11144 · 2016 · External reference
AI for medical imaging goes deep
10.1038/s41591-018-0029-3 · 2018 · External reference
AI-powered precision oncology: computational insights redefining therapeutic landscapes
10.47488/dhrp.v3is1.95 · 2023 · External reference
A clinically applicable approach to continuous prediction of future acute kidney injury
10.1038/s41586-019-1390-1 · 2019 · External reference
Unresolved reference
External reference
High-throughput proteomics and AI for cancer biomarker discovery
10.1016/j.addr.2021.113844 · 2021 · External reference
Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
10.1007/s00439-019-01970-5 · 2019 · External reference
The application of artificial intelligence to cancer research: a comprehensive guide
10.1177/15330338241250324 · 2024 · External reference
Factors predicting response to treatment in rheumatoid arthritis: the importance of disease duration
10.1002/1529-0131(200001)43:1<22::aid-anr4>3.0.co;2-9 · ExternalCitation · doi-reference
Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
10.1007/s00439-019-01970-5 · ExternalCitation · doi-reference
High-throughput proteomics and AI for cancer biomarker discovery
10.1016/j.addr.2021.113844 · ExternalCitation · doi-reference
Artificial intelligence for clinical oncology
10.1016/j.ccell.2021.04.002 · ExternalCitation · doi-reference
SD-CNN: a shallow-deep CNN for improved breast cancer diagnosis
10.1016/j.compmedimag.2018.09.004 · ExternalCitation · doi-reference
Artificial intelligence (AI) and big data in cancer and precision oncology
10.1016/j.csbj.2020.08.019 · ExternalCitation · doi-reference
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
10.1016/j.gie.2018.07.037 · ExternalCitation · doi-reference
Cancer diagnosis in histopathological image: CNN based approach
10.1016/j.imu.2019.100231 · ExternalCitation · doi-reference
AI and precision oncology in clinical cancer genomics: from prevention to targeted cancer therapies-an outcomes based patient care
10.1016/j.imu.2022.100965 · ExternalCitation · doi-reference
Artificial intelligence in liver diseases: improving diagnostics, prognostics and response prediction
10.1016/j.jhepr.2022.100443 · ExternalCitation · doi-reference
Predicting treatment response to intra-arterial therapies for hepatocellular carcinoma with the use of supervised machine learning—an artificial intelligence concept
10.1016/j.jvir.2018.01.769 · ExternalCitation · doi-reference
Detection of cancer in lung with K-NN classification using genetic algorithm
10.1016/j.mspro.2015.06.077 · ExternalCitation · doi-reference
Predicting patients’ responses to psychotherapy: are some more predictable than others?
10.1037/0022-006x.67.5.698 · ExternalCitation · doi-reference
Dermatologist-level classification of skin cancer with deep neural networks
10.1038/nature21056 · ExternalCitation · doi-reference
Artificial intelligence in cancer research, diagnosis and therapy
10.1038/s41568-021-00399-1 · ExternalCitation · doi-reference
Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology
10.1038/s41571-019-0252-y · ExternalCitation · doi-reference
A clinically applicable approach to continuous prediction of future acute kidney injury
10.1038/s41586-019-1390-1 · ExternalCitation · doi-reference
International evaluation of an AI system for breast cancer screening
10.1038/s41586-019-1799-6 · ExternalCitation · doi-reference
AI for medical imaging goes deep
10.1038/s41591-018-0029-3 · ExternalCitation · doi-reference
Clinically applicable deep learning for diagnosis and referral in retinal disease
10.1038/s41591-018-0107-6 · ExternalCitation · doi-reference
AlzGenPred—CatBoost-based gene classifier for predicting Alzheimer’s disease using high-throughput sequencing data
10.1038/s41598-024-82208-x · ExternalCitation · doi-reference
Accurate and reproducible invasive breast cancer detection in whole-slide images: a deep learning approach for quantifying tumor extent
10.1038/srep46450 · ExternalCitation · doi-reference
Machine learning in medicine
10.1056/nejmra1814259 · ExternalCitation · doi-reference
Predicting cancer outcomes from histology and genomics using convolutional networks
10.1073/pnas.1717139115 · ExternalCitation · doi-reference
Diagnosis of lung cancer based on CT scans using CNN
10.1088/1757-899x/928/2/022035 · ExternalCitation · doi-reference
Watson for oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board
10.1093/annonc/mdx781 · ExternalCitation · doi-reference
Asthma and chronic obstructive pulmonary disease (COPD) prediction using PEEP expiratory occlusion data: a hybrid approach with random forest and feedforward neural network
10.1109/ispcc66872.2025.11039525 · ExternalCitation · doi-reference
Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis
10.1109/jbhi.2017.2767063 · ExternalCitation · doi-reference
AI in medical imaging informatics: current challenges and future directions
10.1109/jbhi.2020.2991043 · ExternalCitation · doi-reference
A combined deep CNN: LSTM with a random forest approach for breast cancer diagnosis
10.1155/2022/9299621 · ExternalCitation · doi-reference
Deep learning–based multi-omics integration robustly predicts survival in liver cancer
10.1158/1078-0432.ccr-17-0853 · ExternalCitation · doi-reference
The application of artificial intelligence to cancer research: a comprehensive guide
10.1177/15330338241250324 · ExternalCitation · doi-reference
AI-based imaging biomarker in mammography for prediction of tumor invasiveness
10.1200/jco.2021.39.15_suppl.1568 · ExternalCitation · doi-reference
Structure based inference of functional single nucleotide polymorphism and its role in TGFβ1 allied colorectal cancer (CRC)
10.1504/ijbra.2021.113965 · ExternalCitation · doi-reference
Cancer immunology and immunotherapy
10.21873/anticanres.11144 · ExternalCitation · doi-reference
Applications of artificial intelligence (AI) in ovarian cancer, pancreatic cancer, and image biomarker discovery
10.3233/cbm-210301 · ExternalCitation · doi-reference
The potential applications of artificial intelligence in drug discovery and development
10.33549/physiolres.934765 · ExternalCitation · doi-reference
OpenGDC: unifying, modeling, integrating cancer genomic data and clinical metadata
10.3390/app10186367 · ExternalCitation · doi-reference
Application of artificial intelligence technology in oncology: towards the establishment of precision medicine
10.3390/cancers12123532 · ExternalCitation · doi-reference
Leveraging state-of-the-art AI algorithms in personalized oncology: from transcriptomics to treatment
10.3390/diagnostics14192174 · ExternalCitation · doi-reference
AI-powered precision oncology: computational insights redefining therapeutic landscapes
10.47488/dhrp.v3is1.95 · ExternalCitation · doi-reference
