Skip to main content
UploadLanguage (EN)Support
BusinessMobileSocial MediaMarketingTechnologyArt & PhotosCareerDesignEducationPresentations & Public SpeakingGovernment & NonprofitHealthcareInternetLawLeadership & ManagementAutomotiveEngineeringSoftwareRecruiting & HRRetailSalesServicesScienceSmall Business & EntrepreneurshipFoodEnvironmentEconomy & FinanceData & AnalyticsInvestor RelationsSportsSpiritualNews & PoliticsTravelSelf ImprovementReal EstateEntertainment & HumorHealth & MedicineDevices & HardwareLifestyle
Fondazione Giannino Bassetti, profile picture
Uploaded byFondazione Giannino Bassetti
PPTX, PDF362 views

Big data, machine learning e medicina di precisione

The document discusses the challenges and achievements in the field of precision medicine, highlighting the importance of big data and machine learning. It emphasizes the critical role of genetic and health data in personalizing patient care while noting the difficulties in ensuring participant trust in data privacy. Additionally, it references previous works related to advanced medical imaging and patient-specific treatments.

Science◦
Related topics:
Precision Medicine•
Download to read offline
BIG DATA, MACHINE LEARNING E MEDICINA DI PRECISIONE Dall’idea al prodotto: insuccessi (tanti) e successi (pochi) lungo un percorso ad ostacoli e accidentato MATTEO SANTORO
D'Urso et al., Biomodeling as an aid to spinal instrumentation, 2005 Wagner et al., Rapid 3-dimensional prototyping for surgical repair of maxillofacial fractures, 2004 Image Acquistion MRI/CT/3DUS Image Segmentation and Volumes Computation Image Segmentation and Volumes Computation Image Segmentation and Volumes Computation
Calibrated Sensor Position (exported on request) Stereo 3D Reconstruction Patient Registration Data Referenced 3D US Data US + MR + Microscope
The underlying concept of precision medicine, in which health care is individually tailored on the basis of a person's genes, lifestyle and environment, is not new: transfusion patients have been matched with donors according to blood type for more than a century. But advances in genetics, and the growing availability of health data, present an opportunity to make precise personalized patient care a clinical reality. Precision medicine is powered by patient data. The health records and genetic codes of patients and healthy volunteers are vital, and help people to influence their own health care and the direction of research. Securing participants' trust is crucial to the success of large-scale programmes such as the US National Institutes of Health's Precision Medicine Initiative. But this is hard when the promised anonymity is revealed to be little more than a fig leaf.