AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Neuroblastoma

Showing 21 to 29 of 29 articles

Clear Filters

A Heterogeneous Ensemble Learning Method For Neuroblastoma Survival Prediction.

IEEE journal of biomedical and health informatics
Neuroblastoma is a pediatric cancer with high morbidity and mortality. Accurate survival prediction of patients with neuroblastoma plays an important role in the formulation of treatment plans. In this study, we proposed a heterogeneous ensemble lear...

Methodological advances in the discovery of novel neuroblastoma therapeutics.

Expert opinion on drug discovery
INTRODUCTION: Neuroblastoma is a cancer of the sympathetic nervous system that causes up to 15% of cancer-related deaths among children. Among the ~1,000 newly diagnosed cases per year in Europe, more than half are classified as high-risk, with a 5-y...

PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers.

European radiology experimental
PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the consor...

A deep neural network approach to predicting clinical outcomes of neuroblastoma patients.

BMC medical genomics
BACKGROUND: The availability of high-throughput omics datasets from large patient cohorts has allowed the development of methods that aim at predicting patient clinical outcomes, such as survival and disease recurrence. Such methods are also importan...

HetEnc: a deep learning predictive model for multi-type biological dataset.

BMC genomics
BACKGROUND: Researchers today are generating unprecedented amounts of biological data. One trend in current biological research is integrated analysis with multi-platform data. Effective integration of multi-platform data into the solution of a singl...

[Development of a Deep Learning Algorithm for Classification of Neuroblastoma].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
In this paper, the classification and location of neuroblastoma in NMR images are realized by using Deep Neural Network(CNN) algorithm as the core technology. The module is integrated to realize the development of computer-aided diagnostic software. ...

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.

PloS one
We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep learning that incorporates a clinical algorithm, e.g., a risk stratification schema to improve prognostic profiling. We present the first application ...

Artificial neural network classifier predicts neuroblastoma patients' outcome.

BMC bioinformatics
BACKGROUND: More than fifty percent of neuroblastoma (NB) patients with adverse prognosis do not benefit from treatment making the identification of new potential targets mandatory. Hypoxia is a condition of low oxygen tension, occurring in poorly va...

Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm.

BMC medical genomics
BACKGROUND: Metastatic neuroblastoma (NB) occurs in pediatric patients as stage 4S or stage 4 and it is characterized by heterogeneous clinical behavior associated with diverse genotypes. Tumors of stage 4 contain several structural copy number aberr...