di Matteo Santoro Camelot Biomedical System Slide per l'incontro dal titolo "Big data, machine learning e medicina di precisione." 10 maggio 2018, Milano, Fondazione Giannino Bassetti Video integrale: https://www.fondazionebassetti.org/it/focus/2018/08/big_data_machine_learning_e_me.html

1. 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

3. 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

7. Calibrated
Sensor Position
(exported on
request)
Stereo 3D Reconstruction
Patient Registration Data
Referenced 3D US
Data
US + MR + Microscope

10. 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.