Transforming drug discovery through
AI, genomics and iPSCs

Greenstone Biosciences stands at the forefront of biotechnological innovation, combining the power of Artificial Intelligence (AI) and human induced Pluripotent Stem Cells (hiPSC) to revolutionize the drug discovery process. Our mission is to accelerate the development of effective therapies for patients by harnessing our cutting-edge AI-hiPSC platform. This unique integration facilitates a more efficient, precise, and transformative approach to identifying potential therapeutic compounds, ultimately expediting the journey from laboratory research to patient care.

Transforming drug discovery through
AI and hiPSCs

Greenstone Biosciences stands at the forefront of biotechnological innovation, combining the power of Artificial Intelligence (AI) and human induced Pluripotent Stem Cells (hiPSC) to revolutionize the drug discovery process. Our mission is to accelerate the development of effective therapies for patients by harnessing our cutting-edge AI-hiPSC platform. This unique integration facilitates a more efficient, precise, and transformative approach to identifying potential therapeutic compounds, ultimately expediting the journey from laboratory research to patient care.

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We Are Greenstone

Our mission is transforming drug discovery and accelerating the development of effective therapies for patients.

The Largest hiPSC Biobank

About Us

Greenstone, situated at Stanford Research Park within the Alexandria Center for Life Sciences, is a multifaceted platform advancing drug discovery. Beyond computational biology, we house a comprehensive iPSC biobank, accelerating the development of effective therapies for patients.

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Recent News

Greenstone scientists and collaborators regularly publish in peer-reviewed publications to inform the scientific community of discoveries from Greenstone labs and our collaborators.

Excited to share our latest commentary in Nature Reviews Drug Discovery! We delve into the challenges and advancements in using new approach methods for predicting drug effects from model systems. We focus on human-derived iPSCs and the integration of AI tools, and the field’s aim to enhance the accuracy and reliability of preclinical drug testing.

Tackling the challenges of new approach methods for predicting drug effects from model systems

Paul D.Pang, Syed Mukhtar Ahmed, Masataka Nishiga, Norman L Stockbridge, Joseph C Wu

Read Original Article

May 16, 2024

Greenstone Biosciences is a proud sponsor of the 2024 Stanford Drug Discovery Symposium that was held at Stanford between April 29-30.

Read original article

March 20, 2024
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