ML/AI Tools to Advance Genomic Translational Research (MAGen) - Development Sites (UG3/UH3 Clinical Trials Not Allowed)
Sector: Hospital • Location: United States of America
Source: Grants.gov
NHGRI aims to setup a research Consortium, ML/AI Tools to Advance Genomic Translational Research (MAGen), to collaboratively explore the feasibility of developing Machine Learning (ML) and Artificial Intelligence (AI) tools that can enhance the accuracy and precision of predicting how individuals with pathogenic genetic variants manifest disease. The primary goal is to identify both genomic and no
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | NHGRI aims to setup a research Consortium, ML/AI Tools to Advance Genomic Translational Research (MAGen), to collaboratively explore the feasibility of developing Machine Learning (ML) and Artificial Intelligence (AI) tools that can enhance the accuracy and precision of predicting how individuals with pathogenic genetic variants manifest disease. The primary goal is to identify both genomic and non-genomic factors influencing disease development in individuals carrying pathogenic genetic variants. The ML/AI tools will leverage existing multimodal genomic and non-genomic data and will be cross validated in genomic translational research settings to ensure the accuracy and generalizability of the tools for translational purposes. In addition, the Consortium will explore the ethical, legal, and social implications (ELSI) of integrating ML/AI tools into genomic medicine through the establishment of an ELSI Framework for their development, and through implementation of ELSI research projects. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
