TxGemma
AI models for faster drug development
Listed in categories:
Open SourceGitHubArtificial Intelligence
Description
TxGemma is a collection of open models designed to enhance the efficiency of therapeutic development by utilizing large language models. It aims to streamline the drug discovery process, from identifying promising targets to predicting clinical trial outcomes, potentially reducing the time and costs associated with traditional methods.
How to use TxGemma?
Users can access TxGemma on Vertex AI Model Garden and Hugging Face, explore the models, and utilize provided Colab notebooks for inference, fine-tuning, and agentic workflows.
Core features of TxGemma:
1️⃣
Predictive modeling for therapeutic entities
2️⃣
Conversational AI for deeper insights
3️⃣
Fine-tuning capabilities for specific therapeutic data
4️⃣
Integration into agentic systems for complex research problems
5️⃣
Support for various therapeutic tasks including classification, regression, and generation
Why could be used TxGemma?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Predicting the toxicity of molecules in drug development | ✅ | |
| # 2 | Analyzing therapeutic data through conversational AI | ✅ | |
| # 3 | Customizing models for specific research needs using proprietary data | ✅ | |
Who developed TxGemma?
TxGemma is developed by Google DeepMind, a leader in AI research and development, focusing on creating advanced models to improve therapeutic discovery and development processes.