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Dissecting complexity of chronic diseases with Artificial Adaptive Systems

Advanced course

Como, Villa del Grumello

26-31 maggio 2014

 

COMITATO SCIENTIFICO

 

· Enzo Grossi, IULM University, Milano, Italy; Semeion Research Center, Rome, Italy; Enzo.Grossi@bracco.com; http://publicationslist.org/enzo.grossi

· Massimo Buscema, Semeion Research center, Rome, Italy; University of Colorado – Denver, USA; m.buscema@semeion.it

· William Tastle, Ithaca University, USA; tastle@ithaca.edu; http://faculty.ithaca.edu/tastle/

· Weldon Lodwick, University of Colorado – Denver, USA; Weldon.Lodwick@ucdenver.edu

 

Complex systems is a new approach to science that studies how relationships between parts give rise to the collective
 behaviors of a system and how the system interacts and forms relationships with its environment. Many chronic diseases
 behave like complex systems. For the most part, complex diseases are caused by a combination of genetic,
 environmental, and lifestyle factors, most of which have not yet been identified. The vast majority of diseases fall into
this category, including several congenital defects and a number of adult-onset diseases. Some examples include
Alzheimer's disease, obesity,  multiple sclerosis, osteoporosis, connective tissue diseases, kidney diseases,
 autoimmune diseases, and many more.
Complex diseases pose a challenge for mathematics and mathematical sciences with their formal modeling and simulation
The equations from which complex system models are developed generally derive from statistical physics, information
theory and non-linear dynamics, and run in powerful computers.
The course will focus the application of advanced statistical algorithms, with particular regard to machine learning
 algorithms to real world data sets in paradigmatic fields of medicine like Alzheimer disease and other chronic
degenerative disorders aiming to model key targets in individual patients or to perform intelligent data mining for new
hypothesis generation on the underlying pathogenetic mechanisms.

PROGRAMMA PRELIMINARE

Monday Morning

Theoretical and mathematical background of Artificial Adaptive Systems.

Prof. Massimo Buscema, Semeion, Research Center, Rome

Foundation of Artificial Adaptive Systems

a. Evolutionary Algorithms

b. Artificial Neural Networks

c. Hybrid Systems

d. Complex Organisms

Monday Afternoon

Prof. Massimo Buscema, Prof. Enzo Grossi

· How to prepare data sets for artificial adaptive systems analysis

· Real world examples

· Classroom exercises

· Question & answers

· Small groups home works

Tuesday morning

The emergency of complexity in medicine: philosophical and practical issues

Prof. Enzo Grossi, Bracco Foundation, Milano

Semantic connectivity maps: Finding out Hidden Links among variables with Contractive Maps Algorithms and minimum spanning tree ( Auto-CM )

Prof. Massimo Buscema, Semeion, Research Center, Rome

Tuesday Afternoon

Application of Auto-CM software to a number of real world data sets concerning complex diseases: Alzheimer; Amyotrophic Lateral Sclerosis; Autism; GERD, etc

Question & aswers

Small groups exercitations

Wednesday morning

Classify and Predict: Supervised Artificial Neural Networks (ANNs)

Prof. Massimo Buscema, Semeion, Research Center, Rome

Prof. Bill Tastle, Ithaca University; USA

Wednesday afternoon

Application of K-CM and other ANNs software to a number of real world data sets concerning complex diseases: Alzheimer; Amyotrophic Lateral Sclerosis; Autism; Myocardial Infarction, Down syndrome

Question & aswers

Small groups exercitations

Thursday morning

Disentangling the Electrophysiological Signals Chaos in EEG.

Invariants extraction, preprocessing and features selection.

Application to Alzheimer disease in diagnosis and prognosis

Seeing the invisible: ACM family and diagnostic imaging

Prof. Massimo Buscema, Semeion, Research Center, Rome

Dr. Damiano Baldassarre, Monzino Institute, Milano

Thursday afternoon

Revision and study on material and documents made available

Friday morning

Location theory and TWC algorithm: finding out the hidden source of epidemics

Prof. Massimo Buscema, Semeion, Research Center, Rome

Prof. Weldon Lodwick; Colorado Denver University, USA

Friday afternoon

Predictive medicine and Single individual statistics: the dream comes true.

Round table with course directors

Future projects

Question and answers

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