Lantern Pharma's ZETA AI Designs Cancer Drugs in Real-Time
New to The Street TVJanuary 30, 20265 min8,565 views
14 connectionsΒ·17 entities in this videoβZETA AI: Transforming Drug Discovery
- π‘ ZETA AI is highlighted as a platform designed to transform drug discovery, acting as a template for the future.
- π― The AI is specifically focused on solving complex problems like rare cancers, which account for a significant portion of cancer diagnoses and deaths.
- π§ ZETA AI is designed to think like a scientist, integrating knowledge from genomics, chemistry, dosing, manufacturing, and clinical trials.
Advanced Capabilities of ZETA AI
- π ZETA AI now includes a 24 billion parameter LLM for generating new molecules, positioning it as a drug developer rather than just an analyzer.
- π The platform hosts a self-indexed database of 560,000 clinical trials from clinicaltrials.gov, alongside curated databases and knowledge objects derived from millions of papers.
- π§© ZETA AI creates a knowledge graph in real-time, connecting diseases, drugs, and biomarkers, mimicking human thought processes.
Live Demonstration and Impact
- π¬ A live demonstration showcases ZETA AI's ability to analyze 18 distinct pancreatic subtypes and access data on 438 rare cancers.
- β±οΈ The system compresses years of drug discovery into minutes, designing a full trial protocol in a process that cost approximately $20.
- β The AI is presented not as a replacement for human scientists but as a tool to make them better, enabling the development of potentially hundreds of drugs per decade.
Embracing AI in Medicine
- π Lantern Pharma advocates for the adoption of AI in drug development, emphasizing its role in making the process faster, cheaper, and more informed.
- π The ultimate goal is to significantly increase the rate of drug development, moving from one or two drugs a decade to potentially a hundred.
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Whatβs Discussed
ZETA AILantern PharmaAI-Driven Drug DiscoveryRare CancersCancer ResearchBiotechnologyArtificial IntelligenceLarge Language Models (LLM)Drug DevelopmentClinical TrialsGenomicsBiomarkersPrecision Medicine
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