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Watson for oncology decision system for treatment consistency study in breast cancer
The Watson for Oncology (WFO) decision system has been rolled out in many cancers. However, the consistency of treatment for breast cancer is still...
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A meta-analysis of Watson for Oncology in clinical application
Using the method of meta-analysis to systematically evaluate the consistency of treatment schemes between Watson for Oncology (WFO) and...
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Large language models and multimodal foundation models for precision oncology
The technological progress in artificial intelligence (AI) has massively accelerated since 2022, with far-reaching implications for oncology and...
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Principles of Surgical Oncology
Oncology evolves from the work interaction of physicians, scientists, and professionals from related fields involved in the care of cancer patients....
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Translation of AI into oncology clinical practice
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination and can revolutionize biomedicine. AI and machine...
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Concordance as evidence in the Watson for Oncology decision-support system
Machine learning platforms have emerged as a new promissory technology that some argue will revolutionize work practices across a broad range of...
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New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
Until recently the application of artificial intelligence (AI) in precision oncology was confined to activities in drug development and had limited...
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Artificial Intelligence for Risk Assessment of Cancer Therapy-Related Cardiotoxicity and Precision Cardio-Oncology
Through the success of basic and translational research, cancer survivors are one of the largest growing subsets of the patients in the healthcare...
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Big Data: The IRIS® Registry for Ocular Oncology
As the largest clinical registry in the United States, The Intelligent Research In Sight (IRIS®) Registry is a large electronic health record-based...
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Concordance Study in Hepatectomy Recommendations Between Watson for Oncology and Clinical Practice for Patients with Hepatocellular Carcinoma in China
BackgroundWith the improvement in diagnostic imaging, perioperative care and surgical technique, the indications and complexity of liver resections...
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Early experience with Watson for Oncology: a clinical decision-support system for prostate cancer treatment recommendations
PurposeUrological oncologists have difficulty providing optimal personalized care due to rapid alterations in scientific research results, medical...
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Microbiota in Cancer Immunotherapy: The Next Milestone of Immuno-oncology?
Immune checkpoint inhibitors (ICIs) have revolutionized the field of oncology since the last decade. However, heterogeneous treatment responses among...
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Computational Intelligence in Oncology: Past, Present, and Future
Computational Intelligence (CI) methods are being widely used in different fields of studies including medical sciences and oncology research. CI...
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Identification of glomerulosclerosis using IBM Watson and shallow neural networks
BackgroundAdvanced stages of different renal diseases feature glomerular sclerosis at a histological level which is observed by light microscopy on...
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Oncology Informatics, AI, and Drug Discovery
Cancer is the deadliest disease across the globe. Statistics says that one in three individuals is affected by this disease. The available treatment...
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Precision Medicine in Oncology and Cancer Therapeutics
The definition of precision medicine changed in the twenty-first century several times due to advances in molecular biology, genomics, biotechnology,...
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CRISPR/Cas9 system: recent applications in immuno-oncology and cancer immunotherapy
Clustered regulatory interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) is essentially an adaptive immunity weapon in...
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Meeting report: Advancing accelerated regulatory review with Real-Time Oncology Review (RTOR), Project Orbis, and the Product Quality Assessment Aid
The American Association of Pharmaceutical Scientists (AAPS) Chemistry, Manufacturing, and Controls (CMC) Community hosted two virtual panel...
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Application of AI in Novel Biomarkers Detection that Induces Drug Resistance, Enhance Treatment Regimens, and Advancing Precision Oncology
Artificial intelligence (AI) is changing the medical research and patient care field by showing data patterns that allow predicting disease, disease...
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The Incipient Role of Computational Intelligence in Oncology: Drug Designing, Discovery, and Development
Computational intelligence (CI) approaches are multi-layered neural networks having robust reasoning, logical, and self-regulating capability to...