CADS
Il Centro Analisi, Decisioni e Società (CADS) rappresenta una caratteristica innovativa e molto interessante di Human Technopole: sebbene di natura notevolmente diversa dagli altri Centri ha in comune con loro una forte attenzione alla biologia umana a scala molecolare.
Progetto congiunto con il Politecnico di Milano, il Centro Analisi, Decisioni e Società opererà utilizzando tecniche avanzate di analisi (big) dati, inclusi metodi statistici e di intelligenza artificiale, per analizzare e integrare su larga scala dati derivanti da fonti eterogenee (sia interne che esterne a Human Technopole), come dati clinici, dati socioeconomici, ecc., principalmente nei settori della medicina di precisione, della sanità e dell’economia sanitaria.
Il Centro Analisi, Decisioni e Società trasferirà questa conoscenza fornendo analisi e consulenza a diversi stakeholder, in particolare ai decisori politici, poiché la progettazione e l’implementazione di modelli per valutare l’impatto socio-economico sul sistema sanitario nazionale di vari aspetti della medicina di precisione possano essere strumenti importanti per progettare le politiche ed ottimizzare gli sforzi in questo settore.
Membri del centro
-
Emanuele Rabosio
Postdoctoral Researcher
CADS steering committee
-
Munther Dahleh
-
Alistair McGuire
-
Mauro Marè
Professore ordinario di Scienza delle Finanze all’Università Luiss di Roma -
Piercesare Secchi
Professor of Statistics at the Department of Mathematics, Politecnico di Milano and member of MOX -
Fabio Pammolli
Full Professor, Economics and Management Politecnico di Milano -
Andrea Cavalli
Pubblicazioni
-
06/2020 - BMC Health Services Research
Evaluating the effect of healthcare providers on the clinical path of Heart Failure patients through a novel semi-Markov multi-state model
Investigating similarities and differences among healthcare providers, on the basis of patient healthcare experience, is of interest for policy making. Availability of high quality, routine health databases allows a more detailed analysis of performance across multiple outcomes, but requires appropriate statistical methodology.
-
06/2020 - European Journal of Hybrid Imaging
Methodological framework for radiomics applications in Hodgkin’s Lymphoma
According to published data, radiomics features differ between lesions of refractory/relapsing HL patients from those of long-term responders. However, several methodological aspects have not been elucidated yet.
-
04/2020 - Journal of Translational Medicine
The Endless Frontier? The Recent Increase of R&D Productivity in Pharmaceuticals
Studies on the early 2000s documented increasing attrition rates and duration of clinical trials, leading to a representation of a “productivity crisis” in pharmaceutical research and development (R&D). In this paper, we produce a new set of analyses for the last decade and report a recent increase of R&D productivity within the industry.
-
04/2020
A behavioral approach to instability pathways in financial markets
We introduce an indicator that aims to detect the emergence of market instabilities by quantifying the intensity of self-organizing processes arising from stock returns’ co-movements. In financial markets, phenomena like imitation, herding and positive feedbacks characterize the emergence of endogenous instabilities, which can modify the qualitative and quantitative behavior of the underlying system. The impossibility […]
-
02/2020
Number of lung resections performed and long-term mortality rates of patients after lung cancer surgery: evidence from an Italian investigation
Although it has been postulated that patients might benefit from the centralization of high-volume specialized centres, conflicting results have been reported on the relationship between the number of lung resections performed and the long-term, all-cause mortality rates among patients who underwent surgery for lung cancer. A population-based observational study was performed to contribute to the […]
Pagina precedente