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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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Literature Corpus work
6538f3fc-4363-578b-8559-e79b6b549166
DOI
10.1101/2021.12.13.21267728
Open publication

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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 DataDOI 10.1101/2021.12.13.21267728
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