2016 10-16 precision medicine bioinformatis and deep learning

1. Clinical
Research
Precision Medicine Learning loop
Translational
Research
Learn more
effective Treatments
C.Lucchesi 2016, https://bitbucket.org/Bergonie1/precisionmedicine

2. Clinical
Research
Precision Medicine Learning loop
Translational
Research
Responder Non-
Responder
Patient
Genetic
alteration
Learn more
effective Treatments
Target Therapy

Relapse
C.Lucchesi 2016, https://bitbucket.org/Bergonie1/precisionmedicine

3. Clinical
Research
Precision Medicine Learning loop
Translational
Research
Learn more
effective Treatments
Develop models of
Primary / Secondary
Resistance to Drugs
Animal Models /
Patient Avatars
Responder Non-
Responder
Patient
Genetic
alteration
Target Therapy

Relapse
C.Lucchesi 2016, https://bitbucket.org/Bergonie1/precisionmedicine

4. Clinical
Research
Precision Medicine Learning loop
is enabled by Bioinformatics and Machine Learning tools
Translational
Research
Learn more
effective Treatments
Interactive tools for
prioritization and
interpretation of
genetic alterations
Computational
integration of NGS
data to unveil intra-
tumor heterogeneity
and clonal evolution
(Un)supervised
classification of
genetic networks of
resistance to drugs
Deep Learning and
Reinforcement
Learning to improve
Effectiveness of
Treatment policies
Data Standardization,
Sharing and Integration
Powerful Data Storage
and Processing
Infrastructure
Reliable NGS pipelines
C.Lucchesi 2016, https://bitbucket.org/Bergonie1/precisionmedicine

5. Next … more contents on
CARD - Computational Analysis for the Identification of
Mechanisms of Resistance to Drugs
Use Deep Learning techniques to build classifiers of Primary and
Secondary Resistance to Drugs in Rare Tumors
DiREcT - Deep Learning and Reinforcement Learning to
improve Effectiveness of Treatment policies
Use Tumor Drug Response and Omic data to learn clinical research
policies that maximize treatment effectiveness
C.Lucchesi 2016, https://bitbucket.org/Bergonie1/precisionmedicine