Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled... Tender

FOOD AND DRUG ADMINISTRATION has floated a tender for Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (u01) Clinical Trials Not Allowed. The project location is USA and the tender is closing on 31 Mar 2024. The tender notice number is RFA-FD-24-005, while the TOT Ref Number is 95298307. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.

Expired Tender

Procurement Summary

Country : USA

Summary : Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (u01) Clinical Trials Not Allowed

Deadline : 31 Mar 2024

Other Information

Notice Type : Tender

TOT Ref.No.: 95298307

Document Ref. No. : RFA-FD-24-005

Competition : ICB

Financier : Self Financed

Purchaser Ownership : Public

Tender Value : USD 300000

Purchaser's Detail

Purchaser : FOOD AND DRUG ADMINISTRATION
Terrin Brown Grantor Phone 2404027610
USA
URL :https://www.grants.gov/search-grants

Tender Details

Computational Fluid Dynamics (Cfd) Has Played A Crucial Role In Providing An Alternative Bioequivalence (Be) Approach For Generic Orally Inhaled Drug Products (Oidps), In Addition To Comparative Clinical Endpoint Or Pharmacodynamic Be Studies, As A Relatively Cost- And Time-Efficient Complement To Benchtop And Clinical Experiments That Has Been Widely Used In Developing And Assessing Generic Inhaler Devices. However, Despite The Advances In The Power Of Modern Computers, There Are Still Some Bot...
Opportunity Category : Discretionary
Opportunity Category Explanation :
Funding Instrument Type : Cooperative Agreement
Category of Funding Activity : AgricultureConsumer ProtectionFood and Nutrition
CFDA_Number : 93.103 -- Food and Drug Administration Research
Award_Ceiling : 300000
Posted Date : Jan 15, 2024
Last Updated Date : Jan 15, 2024

Documents

 Tender Notice