A web-platform interfaced software for spectroscopic molecular characterization and early diagnosis of Parkinson's disease
The SEMISOFT project aims to develop software and a web platform for molecular characterization and early Parkinson's diagnosis using advanced spectral analysis and machine learning techniques.
Projectdetails
Introduction
The goal of this proposal is the production of the SEMISOFT software and an associated web platform for spectroscopic molecular characterization and early diagnosis of Parkinson's disease. SEMISOFT will be designed to decipher complex IR/Raman spectra which are currently hampering the development of new clinical protocols and other technological advances.
Methodology
This will be achieved upon implementation of the innovative semiclassically approximate quantum dynamics methods, developed in the parent ERC-CoG SEMICOMPLEX project, which allow for a simplification of complex spectra and unprecedented quantum mechanical accuracy.
To further increase the level of accuracy in SEMISOFT simulations, a new machine-learning based force field for biological systems will be developed and incorporated into the software.
Web Platform Features
The SEMISOFT web platform will be accessible to non-expert users from any browser without desktop installation and will be based on a flexible drop-down menu instructing the user step by step.
The user will be able to:
- Reproduce IR/Raman spectra
- Identify molecular species in gas, liquid, or solid state
The web platform will find immediate application in a freemium version thanks to an industrial partner laboratory whose goal is to find biomarkers of Parkinson's disease in human saliva. This pilot test will allow the team to tune the web platform for future commercialization.
Economic Analysis
An analysis of economic, social, and market prospects will be performed to define a value proposition and an appropriate business model. This will involve comparing the feasibility and relative impact of:
- Licensing
- Paid access through a user account
- Spin-off
The definition of an appropriate intellectual property protection strategy will also be part of the project.
Long-term Impact
SEMISOFT is expected to have a long-term impact as well. Raman and related spectroscopies are widespread in laboratories for chemical characterization, and this computational tool will boost spectroscopy applications in material, physics, and chemical sciences.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-11-2022 |
Einddatum | 30-4-2024 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- UNIVERSITA DEGLI STUDI DI MILANOpenvoerder
- FONDAZIONE DON CARLO GNOCCHI ONLUS
Land(en)
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