DATAMAP AI Drug Toxicity Prediction Models
Sector: Manufacturing (Industrial) • Location: United States
Source: Genetic Engineering and Biotechnology News
DATAMAP is a project led by Inductive Bio with partners including Amgen, Cincinnati Children’s Hospital Medical Center, Baylor College of Medicine, and Torch Bio to develop next-generation AI models of drug toxicity using data from advanced human model systems such as organoids, ex vivo human tissue systems, and microphysiological models. The goal is to improve drug safety assessment, reduce relia
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | awarded |
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 | DATAMAP is a project led by Inductive Bio with partners including Amgen, Cincinnati Children’s Hospital Medical Center, Baylor College of Medicine, and Torch Bio to develop next-generation AI models of drug toxicity using data from advanced human model systems such as organoids, ex vivo human tissue systems, and microphysiological models. The goal is to improve drug safety assessment, reduce reliance on animal testing, and accelerate delivery of safe medicines. |
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 |
