2024
The “ David Vs Goliath ” Study: Application of Large Language Models (LLM) for Automatic Medical Information Retrieval from Multiple Data Sources to Accelerate Clinical and Translational Research in Hematology
Delleani M, D'Amico S, Sauta E, Asti G, Zazzetti E, Campagna A, Lanino L, Maggioni G, Grondelli M, Forcina Barrero A, Morandini P, Ubezio M, Todisco G, Russo A, Tentori C, Buizza A, Bonometti A, Lancellotti C, Di Tommaso L, Rahal D, Bicchieri M, Savevski V, Santoro A, Santini V, Sole F, Platzbecker U, Fenaux P, Diez-Campelo M, Komrokji R, Garcia-Manero G, Haferlach T, Kordasti S, Zeidan A, Castellani G, Della Porta M. The “ David Vs Goliath ” Study: Application of Large Language Models (LLM) for Automatic Medical Information Retrieval from Multiple Data Sources to Accelerate Clinical and Translational Research in Hematology. Blood 2024, 144: 3597-3597. DOI: 10.1182/blood-2024-205621.Peer-Reviewed Original ResearchGenerative Pretrained TransformerInformation retrievalHealthcare dataLanguage modelArtificial intelligenceNatural language processing tasksSemi-supervised training processMedical information retrievalAutomatic information retrievalOriginal datasetLanguage processing tasksValidation frameworkData collection tasksRetrieval information systemsReducing human effortPotential of artificial intelligenceLearning statistical relationshipsStatistical fidelitySelf-supervisionPretrained TransformerStandard datasetsLanguage generationPrivacy limitationsData model formatCollection tasksGeneration of Multimodal Longitudinal Synthetic Data By Artificial Intelligence to Improve Personalized Medicine in Hematology
D'Amico S, Delleani M, Sauta E, Asti G, Zazzetti E, Campagna A, Lanino L, Maggioni G, Ubezio M, Todisco G, Russo A, Tentori C, Buizza A, Bicchieri M, Zampini M, Brindisi M, Ficara F, Riva E, Ventura D, Crisafulli L, Pinocchio N, Jacobs F, Zambelli A, Savevski V, Santoro A, Sanavia T, Rollo C, Sartori F, Fariselli P, Sanz G, Santini V, Sole F, Platzbecker U, Fenaux P, Diez-Campelo M, Kordasti S, Komrokji R, Garcia-Manero G, Haferlach T, Zeidan A, Castellani G, Della Porta M. Generation of Multimodal Longitudinal Synthetic Data By Artificial Intelligence to Improve Personalized Medicine in Hematology. Blood 2024, 144: 4981-4981. DOI: 10.1182/blood-2024-209541.Peer-Reviewed Original ResearchDeep learning-based frameworkLearning-based frameworkPrivacy preservationSynthetic dataSynthetic patientsPerformance of classificationXGBoost classification modelDisease classificationPrivacy-compliantConditional GANPrivacy protectionPrivacy risksLanguage modelGeneration pipelineMultimodal featuresFeature distributionGenerative AIMultimodal dataModel trainingMosaic frameworkClassification modelData integrationArtificial intelligencePrivacyClipping moduleA Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology
D'Amico S, Sauta E, Asti G, Delleani M, Zazzetti E, Campagna A, Lanino L, Maggioni G, Ubezio M, Todisco G, Russo A, Tentori C, Buizza A, Franchi M, Dall'Olio L, Bicchieri M, Zampini M, Brindisi M, Ficara F, Riva E, Ventura D, Crisafulli L, Pinocchio N, Della Porta A, Jacobs F, Zambelli A, Savevski V, Santoro A, Sole F, Platzbecker U, Fenaux P, Diez-Campelo M, Garcia-Manero G, Haferlach T, Kordasti S, Castellani G, Efficace F, Santini V, Zeidan A, Komrokji R, Della Porta M. A Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology. Blood 2024, 144: 2221-2221. DOI: 10.1182/blood-2024-209634.Peer-Reviewed Original ResearchArtificial intelligenceData sharingDigital twinFederated learning platformSynthetic data generatorSHapley Additive exPlanationsImage dataDT platformDecision support systemMultimodal longitudinal dataAI-based toolsUnstructured informationAI frameworkData model formatElectronic health recordsMultimodal dataMultimodal informationPatient informationData integrationAI modelsData generationCentral repositoryTechnology implementation methodMultiple sources of informationReal world
2023
Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language Processing
Asti G, Sauta E, Curti N, Carlini G, Dall'Olio L, Lanino L, Maggioni G, Campagna A, Ubezio M, Russo A, Todisco G, Tentori C, Morandini P, Bicchieri M, Grondelli M, Zampini M, Travaglino E, Savevski V, Derus N, Dall'Olio D, Sala C, Zhao L, Santoro A, Kordasti S, Santini V, Kubasch A, Platzbecker U, Diez-Campelo M, Fenaux P, Zeidan A, Haferlach T, Castellani G, Della Porta M, D'Amico S. Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language Processing. Blood 2023, 142: 122. DOI: 10.1182/blood-2023-188292.Peer-Reviewed Original ResearchNatural language processingLanguage modelArtificial intelligenceF1 scoreLanguage processingData layersPre-trained language modelsPre-trained modelsMultimodal patient dataBidirectional Encoder RepresentationsRelevant informationTransformer frameworkText embeddingsNLP technologyDomain adaptationTraining dataClinical textEncoder RepresentationsText representationNumerical embeddingText reportsText sentencesInformation layersKey technologiesMasked tokensSynthetic Histopathological Images Generation with Artificial Intelligence to Accelerate Research and Improve Clinical Outcomes in Hematology
Asti G, D'Amico S, Curti N, Carlini G, Sauta E, Derus N, Dall'Olio D, Sala C, Dall'Olio L, Lanino L, Maggioni G, Campagna A, Ubezio M, Russo A, Todisco G, Tentori C, Morandini P, Bicchieri M, Grondelli M, Zampini M, Savevski V, Santoro A, Kordasti S, Santini V, Kubasch A, Platzbecker U, Diez-Campelo M, Fenaux P, Zhao L, Zeidan A, Haferlach T, Castellani G, Della Porta M. Synthetic Histopathological Images Generation with Artificial Intelligence to Accelerate Research and Improve Clinical Outcomes in Hematology. Blood 2023, 142: 902. DOI: 10.1182/blood-2023-187521.Peer-Reviewed Original ResearchData augmentationArtificial intelligenceSynthetic imagesTextual inputGenerative modelDomain-specific language modelsAvailable textual dataSynthetic data augmentationEffective data augmentationFeatures of imagesReal-world datasetsSynthetic data generationReal-world imagesSpecific language modelHistological imagesUse casesImage featuresData sharingMultimodal dataImage generationTextual dataLayers of informationLanguage modelMultimodal informationClassification performance