SAFEPATH
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About
SAFEPATH is a proprietary AI model developed by Ignota Labs that applies deep learning to combined bioinformatics and cheminformatics datasets to solve drug safety issues. More than half of all clinical trials fail due to safety issues, and discovering drugs with therapeutic potential but without severe side effects is challenging. SAFEPATH is a first-of-its-kind AI platform that combines advanced machine learning models with a multimodal data approach to enable a deep understanding of toxicity mechanisms. It offers actionable insights to facilitate drug turnaround, helping to rescue promising but failing drugs by explaining why safety issues occurred and how they might be mitigated, ensuring safer therapeutic options for patients.
Platform
Features
• proprietary ai model
• utilizes a multimodal data approach
• offers actionable insights for drug turnaround
• enables deep understanding of toxicity mechanisms
• identifies and solves drug safety issues
• combines bioinformatics and cheminformatics datasets
• applies deep learning for drug safety
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