AI's Radical Impact on Life Sciences: Redefining Research Boundaries

Published Date: 13/07/2024

Discover the immense opportunities of AI in advancing research and development, and learn how Insilico is harnessing this potential with its innovative AI products and sustainability initiative.

Artificial intelligence (AI) has rapidly transformed numerous industries, and the life sciences sector is no exception. The growing power and capability of AI present immense opportunities for advancing research and development. However, the challenge lies in harnessing this potential effectively  How can we leverage AI to maximize its benefits in the life sciences?

Insilico, a global clinical stage biotechnology company powered by generative AI, is addressing this challenge by unveiling three innovative in-house developed AI products for researchers. These products include Science42：DORA, an advanced large language model-driven AI assistant; Biology42：PandaOmics Box, an AI-powered converged research platform; and Biology42：Precious-3 GTP, a transformer-based LLM engine. These new additions to Insilico's Pharma.AI platform will streamline academic paper drafting, facilitate localized biological research, and enable biomedical research through omics data generation and interpretation.

Insilico's Pharma.AI platform has been optimized and validated through internal drug pipeline development and external R&D collaborations. Currently, 10 of the world's top 20 pharmaceutical companies use Pharma.AI, which has led to the nomination of 18 preclinical candidates in Insilico's comprehensive portfolio of over 30 assets since 2021. The company has also received IND approval for 7 molecules.

Insilico's commitment to expanding the boundaries of AI applications in life sciences is evident in its recent paper in Nature Biotechnology, presenting the entire R&D journey of its lead drug pipeline, INS018_055, from AI algorithms to Phase II clinical trials. According to Alex Zhavoronkov, founder and CEO of Insilico Medicine, 'These new product launches are expected to help life science researchers accomplish their tasks more easily and efficiently. This is the true promise of genAI.'

About Insilico Medicine 

Insilico Medicine is a global clinical stage biotechnology company powered by generative AI, connecting biology, chemistry, and clinical trials analysis using next-generation AI systems. The company has developed AI platforms that utilize deep generative models, reinforcement learning, transformers, and other modern machine learning techniques for novel target discovery and the generation of novel molecular structures with desired properties.

FAQS:

Q: What is the potential of AI in life sciences?

A: AI presents immense opportunities for advancing research and development in life sciences, including streamlining academic paper drafting, facilitating localized biological research, and enabling biomedical research through omics data generation and interpretation.

Q: What is Insilico's Pharma.AI platform?

A: Pharma.AI is a generative AI-driven platform that connects biology, chemistry, medicine, and science to solve complex challenges in life sciences, accelerating drug development, enhancing precision medicine, and supporting anti-aging research.

Q: What are the new AI products launched by Insilico?

A: Insilico has launched three new AI products: Science42：DORA, an advanced large language model-driven AI assistant; Biology42：PandaOmics Box, an AI-powered converged research platform; and Biology42：Precious-3 GTP, a transformer-based LLM engine.

Q: How has Insilico validated its Pharma.AI platform?

A: Insilico has optimized and validated its Pharma.AI platform through internal drug pipeline development and external R&D collaborations, leading to the nomination of 18 preclinical candidates in its comprehensive portfolio of over 30 assets since 2021.

Q: What is Insilico's commitment to AI applications in life sciences?

A: Insilico is committed to continually expanding the boundaries of AI applications in life sciences to accelerate drug discovery, empower anti-aging research, and support sustainable development.

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