Article
NeuroXNet: Creating A Novel Deep Learning Architecture that Diagnoses Neurological Disorders, Finds New Blood Biomarkers, and Assesses Surgical, Drugs, and Radiation Treatment Plans Using Medical Imaging and Genomic Data
2021-12-14
Abstract excerpt
Neurodegenerative diseases and cancerous brain tumors cause millions of patients worldwide to be fatally ill and face cognitive impairment each year. Current diagnosis and treatment of these neurological conditions take many days, are sometimes inaccurate, and use invasive approaches that could endanger the patient’s life. Thus, this study’s purpose is the creation of a novel deep learning model called NeuroXNet,...
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Identifiers and source
- Literature Corpus work
- 6538f3fc-4363-578b-8559-e79b6b549166
- DOI
- 10.1101/2021.12.13.21267728
