Top drug development AI tools

Lavo Life Sciences offers innovative AI-driven chemistry simulation tools aimed at expediting drug development for the pharmaceutical industry.
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Abzu's QLattice is a proprietary explainable AI platform that helps pharmaceutical companies unlock discoveries in data and accelerate R&D processes, specializing in biomarker identification and RNA therapeutics.
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OKRA.ai provides AI-powered solutions for the healthcare and pharmaceutical industry, offering intelligent decision-making tools for commercial, medical, access & pricing, and real-world evidence analysis.
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Immunai is mapping the immune system to facilitate the development of immune-related therapeutics. The platform supports decision-making in drug discovery and development.
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Flatiron Health provides solutions across the healthcare industry to improve every person's experience with cancer. They focus on designing clinical trials, accelerating drug development, and powering smarter care.
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Aqemia is a next-generation pharmatech company that combines quantum-inspired physics and machine learning to accelerate drug discovery, operating 10,000x faster than traditional methods.
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Enki Platform is the first commercially accessible foundation model for small molecules, specializing in drug discovery with coverage for over 300 GPCR and kinase targets.
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Nabla Bio develops integrated AI and wet-lab technologies for de novo antibody design. The platform focuses on creating superior manufacturability, safety, and efficacy in drugs.
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Zephyr AI leverages healthcare and biological data with its AI-enabled platform to provide personalized healthcare solutions. It helps match patients to effective drugs and accelerates drug development.
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Tempus is an AI-powered precision medicine platform that combines genomic sequencing, clinical data analysis, and machine learning to help healthcare providers make more informed treatment decisions and accelerate drug development.
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Olio Labs leverages artificial intelligence to develop advanced combination therapeutics that target multiple protein interactions in the body, aiming to create more effective treatments with reduced side effects.
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