ALS.ai
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About
ALS.ai showcases Insilico Medicine's pioneering work in applying artificial intelligence to drug discovery and personalized research for Amyotrophic Lateral Sclerosis (ALS). Partnering with Above and Beyond, Insilico Medicine uses advanced AI platforms, including deep generative models, reinforcement learning, and machine learning, to identify novel targets and generate new molecular structures for desired properties. The core of ALS.ai's capabilities is PandaOmicsTM, an AI-powered target identification platform within the broader Pharma.AI suite. It analyzes public and personalized omics datasets, reveals disease signatures, and identifies actionable targets. The platform facilitates the curation of drugs associated with identified targets and integrates feedback for validation. Key features include comprehensive disease summaries, interactive data on drugs and clinical trials, user-friendly dataset selection, and target identification with flexible novelty filters. This approach significantly reduces the time required for novel target discovery and drug repurposing, focusing on developing personalized therapies for ALS patients who lack effective treatment options.
Platform
Task
Features
• customizable novelty filters for target prioritization
• personalized therapy development for als
• interactive drugs and clinical trials database
• advanced ai models (deep generative, reinforcement learning, transformer)
• disease signature and actionable target revelation
• multi-omics data analysis and interpretation
• drug repurposing candidate identification (compoundid)
• ai-powered target identification (pandaomicstm)
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