AIMC Topic: Neoplasm Metastasis

Clear Filters Showing 61 to 70 of 136 articles

Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer.

Genome medicine Mar 11, 2021
BACKGROUND: Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often considered as ...
Neural Networks, Computer Algorithms Female Breast Neoplasms Humans Protein Interaction Maps Gene Regulatory Networks Gene Expression Regulation, Neoplastic Signal Transduction Neoplasm Metastasis
View on PubMed DOI

DeepDose: a robust deep learning-based dose engine for abdominal tumours in a 1.5 T MRI radiotherapy system.

Physics in medicine and biology Mar 9, 2021
We present a robust deep learning-based framework for dose calculations of abdominal tumours in a 1.5 T MRI radiotherapy system. For a set of patient plans, a convolutional neural network is trained on the dose of individual multi-leaf-collimator seg...
Radiotherapy, Intensity-Modulated Male Monte Carlo Method Deep Learning Humans Abdominal Neoplasms Magnetic Resonance Imaging Particle Accelerators Neural Networks, Computer Prostatic Neoplasms Rectal Neoplasms Reproducibility of Results Radiotherapy Planning, Computer-Assisted Neoplasm Metastasis Radiotherapy Dosage
View on PubMed DOI

Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods.

Scientific reports Jan 26, 2021
Metastasis is the leading cause of mortalities in cancer patients due to the spreading of cancer cells to various organs. Detecting cancer and identifying its metastatic potential at the early stage is important. This may be achieved based on the qua...
Support Vector Machine Principal Component Analysis Spectrometry, Fluorescence Prostatic Neoplasms Reproducibility of Results Male Cell Line, Tumor ROC Curve Neoplasm Metastasis Lactic Acid Tryptophan NAD Humans Machine Learning
View on PubMed DOI

Machine-Learning Provides Patient-Specific Prediction of Metastatic Risk Based on Innovative, Mechanobiology Assay.

Annals of biomedical engineering Jan 22, 2021
Cancer mortality is mostly related to metastasis. Metastasis is currently prognosed via histopathology, disease-statistics, or genetics; those are potentially inaccurate, not rapidly available and require known markers. We had developed a rapid (~ 2 ...
Humans Machine Learning Female Male Models, Biological Neoplasm Metastasis Biophysics Neoplasms Cell Line, Tumor Cell Movement Predictive Value of Tests
View on PubMed DOI

Small Steatotic HCC: A Radiological Variant Associated With Improved Outcome After Ablation.

Hepatology communications Dec 31, 2020
Percutaneous thermal ablation is a validated treatment option for small hepatocellular carcinoma (HCC). Steatotic HCC can be reliably detected by magnetic resonance imaging. To determine the clinical relevance of this radiological variant, we include...
Carcinoma, Hepatocellular Treatment Outcome Follow-Up Studies Magnetic Resonance Imaging Neoplasm Recurrence, Local Disease-Free Survival Catheter Ablation Neoplasm Metastasis Humans Aged Retrospective Studies Male Female Middle Aged Liver Neoplasms
View on PubMed DOI

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence.

EBioMedicine Oct 9, 2020
BACKGROUND: Cancer of unknown primary (CUP), representing approximately 3-5% of all malignancies, is defined as metastatic cancer where a primary site of origin cannot be found despite a standard diagnostic workup. Because knowledge of a patient's pr...
Computational Biology Databases, Genetic Workflow RNA Neoplasm Metastasis Neoplasms, Unknown Primary Algorithms Reproducibility of Results Biomarkers, Tumor Genomics Artificial Intelligence Machine Learning Software Humans Neural Networks, Computer
View on PubMed DOI

Robust edge-based biomarker discovery improves prediction of breast cancer metastasis.

BMC bioinformatics Sep 30, 2020
BACKGROUND: The abundance of molecular profiling of breast cancer tissues entailed active research on molecular marker-based early diagnosis of metastasis. Recently there is a surging interest in combining gene expression with gene networks such as p...
Protein Interaction Maps Gene Regulatory Networks Logistic Models Support Vector Machine Area Under Curve Neoplasm Metastasis Female Breast Neoplasms Biomarkers, Tumor ROC Curve Humans
View on PubMed DOI

Serum markers improve current prediction of metastasis development in early-stage melanoma patients: a machine learning-based study.

Molecular oncology Jun 24, 2020
Metastasis development represents an important threat for melanoma patients, even when diagnosed at early stages and upon removal of the primary tumor. In this scenario, determination of prognostic biomarkers would be of great interest. Serum contain...
Cytokines Prognosis Female Melanoma Biomarkers, Tumor Male Middle Aged Peptides Humans Machine Learning ROC Curve Neoplasm Staging Neoplasm Metastasis
View on PubMed DOI

Development and validation of a deep learning system for ascites cytopathology interpretation.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Jun 4, 2020
BACKGROUND: Early diagnosis of Peritoneal metastasis (PM) is clinically significant regarding optimal treatment selection and avoidance of unnecessary surgical procedures. Cytopathology plays an important role in early screening of PM. We aimed to de...
Neoplasm Metastasis Datasets as Topic Neural Networks, Computer Reproducibility of Results Area Under Curve Humans Deep Learning Ascites Early Detection of Cancer Peritoneal Neoplasms Image Interpretation, Computer-Assisted
View on PubMed DOI

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks.

Scientific reports May 22, 2020
Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. Due to the complexity of BC, the predi...
Breast Neoplasms Biomarkers, Tumor Gene Expression Profiling Immunotherapy Humans Gene Expression Regulation, Neoplastic RNA Neoplasm Metastasis Neural Networks, Computer Machine Learning Female
View on PubMed DOI
Popular Topics
Recent Journals