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A-Plus Machine Learning Approach Displays Accurate Cancer Detection With Smaller Sample Amounts

Investigators have developed a machine learning algorithm that could eventually facilitate earlier cancer detection via smaller blood draws.

United statesKamel lahouelTgen integrated cancer genomics divisionTranslational genomics research institute tgenTranslational genomics research instituteScience translational medicineAlu profile learning using sequencingIntegrated cancer genomics divisionCity of hopePrecision medicineScience translational medicineAlu profile learning using sequencingA plusArtificial intelligence

Machine Learning, Liquid Biopsy to Bolster Early Cancer Detection

Machine Learning, Liquid Biopsy to Bolster Early Cancer Detection
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Cristian tomasettiKamel lahouelShania kennedyCity of hope centerTranslational genomics research institute tgenTgen integrated cancer genomics divisionMachine learningLiquid biopsyBolster early cancerTranslational genomics research instituteScience translationalCancer preventionEarly detectionIntegrated cancer genomicsAlu profile learning using sequencingMolecular twin precision oncology platform

City of Hope, TGen Researchers Develop Machine-Learning Tool to Detect Cancer Earlier via Liquid Biopsy

The innovative “fragmentomics” approach could one day allow doctors to identify cancer in patients sooner than possible today using smaller blood draws.

United statesKamel lahouelCristian tomasettiCity of hope centerTranslational genomics research institute tgenTgen integrated cancer genomics divisionJohn hopkins universityTranslational genomics research instituteScience translationalCancer preventionAlu profile learning using sequencingIntegrated cancer genomics divisionEarly detectionCity of hopeMachine learningEarly biopsy

City of Hope, TGen researchers develop tool for earlier cancer detection

City of Hope and TGen researchers develop a machine-learning tool for earlier cancer detection via a liquid biopsy. Details here.

United statesKamel lahouelCristian tomasettiJohn hopkins universityCity of hope centerTranslational genomics research institute tgenTgen integrated cancer genomics divisionTranslational genomics research instituteScience translationalCancer preventionAlu profile learning using sequencingIntegrated cancer genomics divisionEarly detection

Machine learning to detect the SINEs of cancer

Machine learning to detect the SINEs of cancer
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Alu profile learning using sequencing