Name of organisation
1) Department/Research groupINNOVATIVE SOLUTIONS FOR MEDICAL PREDICTION AND BIG DATA INTEGRATION IN REAL WORLD SETTING SRL
2) Organisation/affiliationUniversity of Messina
Short Name in the inventoryINSPIRE srl
Administrative Contact
Title Miss
Last name Ingrasciotta
First name Ylenia
Address line 1Policlinico G. Martino, Via Consolare Valeria, 98124, Messina
Address line 2
Address line 3
CityMessina
Postcode
CountryItaly
Phone number (incl. country code)00390902213877
Alternative phone number
Fax number (incl. country code)
Scientific Contact
Title Miss
Last name Ingrasciotta
First name Ylenia
Address line 1Policlinico G. Martino, Via Consolare Valeria, 98124, Messina
Address line 2
Address line 3
CityMessina
Postcode
CountryItaly
Phone number (incl. country code)00390902213877
Alternative phone number
Fax number (incl. country code)
2. Description
INSPIRE SRL is an academic spin-off of the University of Messina from July 2020: its main aim is the development, production and marketing of innovative products or services with high technological value. In particular, the activity of the spin-off is the design, development and marketing of innovative algorithms to predict diagnosis of diseases (especially rare diseases) and treatment response using machine learning and big data analytics techniques with large healthcare databases. The team has expertise in the field of pharmacoepidemiology, pharmacovigilance, medical informatics, biostatistics as well as web application and machine learning. INSPIRE, thanks to strategic agreements with national health system, can access claims databases (fully anonymised) of some Italian local health units.
3. Category
University based
4. Available resources
In houseVia Contacts/Network
Epidemiologist/Pharmacoepidemiologist
Yes
No
Statistician
No
Yes
Clinical Pharmacologist
Yes
No
Pharmacist
Yes
No
5. Therapeutic/disease areas of research in drug safety/risk-benefit performed in the past 5 years
Cardiovascular diseases
Endocrine disorders
Immunological products and vaccines
6. Design of drug safety/risk-benefit studies published in the past 5 years
Cohort Study
7. Experience in collecting data directly from individual patients/respondents
Number of patients/respondents involved in the study(ies)
Between 150 and 1499
8. Access to data collection resources
Capacity to conduct face-to-face interviews
No
Electronic data capture systems
Yes
System used:
SAS, SQL
Interactive voice response systems
No
Call centre
No
9. Experience in secondary research and meta-analysis
No
10. Work with existing data resources in the past 3 years
Name of data resourceNo. of studies
Caserta database2
11. Registries established by centre
None
12. Experience in collaboration in a study team
Collaborating Investigator
13. Current involvement in research networks
Networks registered with ENCePP
SIGMA