AIMC Topic: Neoplasms

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Artificial Intelligence in Cancer Research and Precision Medicine.

Cancer discovery Apr 1, 2021
Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has...
Humans Artificial Intelligence Research Precision Medicine Neoplasms Antineoplastic Agents Medical Oncology
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A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data.

Zoological research Mar 18, 2021
Somatic mutations are a large category of genetic variations, which play an essential role in tumorigenesis. Detection of somatic single nucleotide variants (SNVs) could facilitate downstream analysis of tumorigenesis. Many computational methods have...
Mutation High-Throughput Nucleotide Sequencing Computational Biology Gene Expression Regulation, Neoplastic DNA Copy Number Variations Humans Machine Learning Algorithms Animals Neoplasms
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A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
Unplanned hospital readmissions are a burden to patients and increase healthcare costs. A wide variety of machine learning (ML) models have been suggested to predict unplanned hospital readmissions. These ML models were often specifically trained on ...
Humans Machine Learning Male Cardiovascular Diseases Neoplasms Cohort Studies Prognosis Electronic Health Records Female Hospitalization Datasets as Topic Area Under Curve Tertiary Care Centers Lung Diseases Patient Readmission Treatment Outcome Models, Statistical Chronic Disease
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Development of a "meta-model" to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: Like most real-world data, electronic health record (EHR)-derived data from oncology patients typically exhibits wide interpatient variability in terms of available data elements. This interpatient variability leads to missing data and can...
Models, Theoretical Area Under Curve Survival Analysis Humans Prognosis Machine Learning Neoplasms ROC Curve Decision Support Systems, Clinical
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Deep learning and cancer biomarkers: recognising lead-time bias - Authors' reply.

Lancet (London, England) Jan 16, 2021
Biomarkers, Tumor Neoplasms Deep Learning Bias Humans
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canSAR: update to the cancer translational research and drug discovery knowledgebase.

Nucleic acids research Jan 8, 2021
canSAR (http://cansar.icr.ac.uk) is the largest, public, freely available, integrative translational research and drug discovery knowledgebase for oncology. canSAR integrates vast multidisciplinary data from across genomic, protein, pharmacological, ...
Humans Neoplasms Molecular Structure Internet Translational Research, Biomedical Knowledge Bases Data Mining Medical Oncology Drug Discovery Genomics Antineoplastic Agents Computational Biology User-Computer Interface Proteomics Databases, Genetic
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Open Targets Platform: supporting systematic drug-target identification and prioritisation.

Nucleic acids research Jan 8, 2021
The Open Targets Platform (https://www.targetvalidation.org/) provides users with a queryable knowledgebase and user interface to aid systematic target identification and prioritisation for drug discovery based upon underlying evidence. It is publicl...
Molecular Targeted Therapy Drugs, Investigational Antineoplastic Agents Internet Knowledge Bases Datasets as Topic Databases, Factual Neoplasms Drug Discovery Humans Software
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Deep learning for in vivo near-infrared imaging.

Proceedings of the National Academy of Sciences of the United States of America Jan 5, 2021
Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a novel in vivo imaging modality with high spatial and temporal resolution through millimeter tissue depths. Imaging in the NIR-IIb window (1,500-1,700 ...
Indocyanine Green Neoplasms Molecular Imaging Spectroscopy, Near-Infrared Signal-To-Noise Ratio Deep Learning Intravital Microscopy Cell Line, Tumor Cetuximab Mice, Inbred BALB C Humans Fluorescent Dyes Neural Networks, Computer Microscopy, Fluorescence Mice Animals Indoles Lymph Nodes Mice, Nude
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Artificial intelligence in cancer diagnostics and therapy: current perspectives.

Indian journal of cancer Jan 1, 2021
Artificial intelligence (AI) has found its way into every sphere of human life including the field of medicine. Detection of cancer might be AI's most altruistic and convoluted challenge to date in the field of medicine. Embedding AI into various asp...
Artificial Intelligence Machine Learning Neoplasms Deep Learning Humans
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Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

Technology in cancer research & treatment Jan 1, 2021
The aim of this work is to study the dosimetric effect from generated synthetic computed tomography (sCT) from magnetic resonance (MR) images using a deep learning algorithm for Gamma Knife (GK) stereotactic radiosurgery (SRS). The Monte Carlo (MC) m...
Monte Carlo Method Image Processing, Computer-Assisted Retrospective Studies Magnetic Resonance Imaging Humans Phantoms, Imaging Tomography, X-Ray Computed Organs at Risk Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Neoplasms Deep Learning Radiotherapy Dosage Prognosis Radiotherapy, Intensity-Modulated Radiosurgery
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