grant
Single-cell DNA methylation analysis of human cancer
Organization DIVISION OF BASIC SCIENCES - NCILocation UNITED STATES
NIHUS FederalResearch GrantFY2025AI AugmentedAI assistedAI drivenAI enhancedAI integratedAI poweredAI systemAccuracy of DiagnosisArtificial IntelligenceArtificial Intelligence enhancedAugmented by AIAugmented by the AIAugmented with AIAugmented with the AIBrainBrain NeoplasiaBrain NeoplasmsBrain Nervous SystemBrain TumorsCNS CancerCNS TumorCNS neoplasmCancersCell BodyCellsCentral Nervous System CancerCentral Nervous System NeoplasmsCentral Nervous System TumorsClassificationComputer ReasoningComputer Vision SystemsComputing MethodologiesDNA MethylationDataDiagnosisEncephalonGene ExpressionGoalsH and EHematoxylin and EosinHematoxylin and Eosin Staining MethodHeterogeneityHistopathologyHumanImageIndividualInstitutionInvestigationMachine IntelligenceMachine LearningMalignant CNS NeoplasmsMalignant NeoplasmsMalignant TumorMalignant Tumor of the CNSMalignant Tumor of the Central Nervous SystemMalignant neoplasm of central nervous systemMethylationModelingModern ManMolecularPathologistPatientsSamplingStaining methodStainsSystematicsTechniquesTestingTrainingTumor Cellartificial intelligence assistedartificial intelligence augmentedartificial intelligence drivenartificial intelligence integratedartificial intelligence poweredcancer of the central nervous systemcohortcomputational methodologycomputational methodscomputer based methodcomputer methodscomputer visioncomputing methoddeep learning based modeldeep learning based neural networkdeep learning modeldeep learning neural networkdeep neural netdeep neural networkdiagnostic accuracyempowermentenhanced with AIenhanced with Artificial Intelligenceexperiencegenomic profilesimagingimprovedmachine based learningmachine learning based frameworkmachine learning frameworkmalignancyneoplasm/cancerneoplastic cellnew technologynovel technologiessingle cell analysistooltranslational opportunitiestranslational potentialtumortumor of the central nervous systemtumors in the braintumors in the central nervous systemvirtualwhole slide imaging
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We have used techniques in machine learning and deconvolution of methylation data to elucidate genomic profiles of several CNS cancers. Recent advances in artificial intelligence (AI) and computer vision empower deep learning models to infer molecular features from histopathology images to classify central nervous system (CNS) tumors. We trained…
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