Protection of the Industrial Invention Entitled "New Method Tender

Notice for Protection of the Industrial Invention Entitled "New Method Based on Machine Learning and Protein Aggregation Kinetics for the Classification and Prediction of Disease Risk of Patients With... in Italy. The reference ID of the tender is 131006357 and it is closing on 12 Dec 2025.

Tender Details

Country: Italy
Summary: Protection of the Industrial Invention Entitled "New Method Based on Machine Learning and Protein Aggregation Kinetics for the Classification and Prediction of Disease Risk of Patients With...
ITT Ref No: 131006357
Deadline: 12 Dec 2025
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.:
Purchaser's Detail:
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Description:
Protection of the industrial invention entitled "New method based on machine learning and protein aggregation kinetics for the classification and prediction of disease risk of patients with proteinopathies" by filing a patent application.
Documents:

Tender Notice

Deliberazione-n.-917-del-26-novembre-2025.pdf

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Protection of the Industrial Invention Entitled "New Method Based on Machine Learning and Protein Aggregation Kinetics for the Classification and Prediction of Disease Risk of Patients With... - Italy Tender

The IRCCS CARLO BESTA NEUROLOGICAL INSTITUTE, a Government sector organization in Italy, has announced a new tender for Protection of the Industrial Invention Entitled "New Method Based on Machine Learning and Protein Aggregation Kinetics for the Classification and Prediction of Disease Risk of Patients With.... This tender is published on ItalyTenders under ITT Ref No: 131006357 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-12-12.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.

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