Analysis decisions and society
The Centre for Analysis, Decisions and Society (CADS) represents a novel and highly interesting feature of Human Technopole, though considerably different in nature from the other Human Technopole Research Centres, it equally shares with them a strong focus on human biology at the molecular scale.
A joint project with the Politecnico di Milano, the Centre for Analysis, Decisions and Society will operate using advanced (big) data analysis techniques, including statistical and artificial intelligence methods, to analyse and integrate large-scale data deriving from heterogeneous sources (both internal to HT and external), such as clinical data, socioeconomic data, etc., mainly in the areas of precision medicine, healthcare and health economics.
The Centre for Analysis, Decisions and Society is envisioned to transfer this knowledge by providing analysis and advice to different stakeholders, but in particular policymakers, as the design and implementation of models to evaluate the socio-economic impact on the national health system of various aspects of precision medicine can be important tools to help design policy to optimise efforts in this area.
Centre members
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Emanuele Rabosio
Postdoctoral Researcher
CADS steering committee
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Munther Dahleh
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Alistair McGuire
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Mauro Marè
Professor of Public Economics, Luiss University, Rome -
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
Publications
- 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 […]
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