Draft:GenBio AI
Submission declined on 19 December 2024 by WeirdNAnnoyed (talk).
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Comment: The subject does not appear to be notable by the guidelines of WP:NCORP. All sources cited are press releases, the company's own material, or LinkedIn or other unreliable self-published sources. We need significant coverage in more than one reliable, independent source to have an article. WeirdNAnnoyed (talk) 21:49, 19 December 2024 (UTC)
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| Company type | Private |
|---|---|
| Industry | |
| Founded | 2024 |
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| Headquarters |
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Key people |
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| Website | genbio |
GenBio AI (legal name: GenBio.AI, Inc.) is a biotechnology and artificial intelligence company based in Palo Alto, California, with offices in Paris and Abu Dhabi. The company develops AI-Driven Digital Organism (AIDO)[1] designed to simulate and analyze biological processes, including DNA, RNA, proteins, and cellular functions.[2][3]
History
[edit]GenBio AI was founded in 2024 by Eric Xing, Fred Hu, Le Song and Ziv Bar-Joseph,[4] researchers in machine learning and computational biology. The company was launched alongside the presentation of six peer-reviewed papers at the Conference on Neural Information Processing Systems (NeurIPS),[5] outlining the framework behind its AI models.[6]
Technology and application
[edit]Their technology includes multiple models that address different aspects of molecular and cellular processes:[7]
- AIDO-DNA
- AIDO-RNA
- AIDO-Protein
- AIDO-Single Cell
- Protein Structure Model
- Evolutionary Information Model
The technology is applied in medicine and biotechnology.[8]
Research
[edit]The company has published several technical papers detailing its methodologies,[9][10][11][12][13][14] including sparse transformers, retrieval-augmented learning, and large-scale biological data integration.[15][16]
Notable people
[edit]- Eric Xing: Co-founder and Chief Scientist.[17]
- Le Song: Co-founder and Chief Technology Officer.[18]
- Fred Hu: Co-founder and CEO.
- Ziv Bar-Joseph: Co-founder and Chief Scientific Officer.[19]
The senior scientific fellows include scientists such as:
- Eran Segal: Department of Computer Science, Weizmann Institute of Science.[20]
- Fabian Theis: Director of the Institute for Computational Biology at Helmholtz Munich.[21]
External links
[edit]See also
[edit]References
[edit]- ^ "GenBio AI Launches AIDO for Medical Research - The GenAI Gazette". genaigazette.com. Retrieved 2025-02-27.
- ^ "GenBio AI Releases Phase 1 of World's First Digital Organism to Transform Medical Research". Yahoo Finance.
- ^ "Empowering Biology with Generative AI: GenBio AI's Breakthrough - Generative AI Lab". 2024-12-19. Retrieved 2025-02-27.
- ^ "GenBio AI Welcomes Ziv Bar-Joseph as Co-Founder and Chief Scientific Officer to Transform Drug Discovery and Revolutionize Medicine". Tildee. 2025-02-28. Retrieved 2025-03-02.
- ^ "AI for New Drug Modalities". AIDrugX at NeurIPS 2024.
- ^ "GenBio AI Releases Phase 1 of World's First Digital Organism to Transform Medical Research". BioSpace. 19 December 2024.
- ^ "GenBio AI Introduces Digital Organism Model". justainews.com. 2024-12-19. Retrieved 2025-02-27.
- ^ "GenBio AI Releases Phase 1 of World's First Digital Organism to Transform Medical Research". Associated Press. 19 December 2024.
- ^ "Toward AI-Driven Digital Organism: A System of Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels". arxiv.org. Retrieved 2025-02-27.
- ^ Ellington, Caleb N.; Sun, Ning; Ho, Nicholas; Tao, Tianhua; Mahbub, Sazan; Li, Dian; Zhuang, Yonghao; Wang, Hongyi; Song, Le (2024-12-05), Accurate and General DNA Representations Emerge from Genome Foundation Models at Scale, bioRxiv, doi:10.1101/2024.12.01.625444, retrieved 2025-03-02
- ^ Sun, Ning; Zou, Shuxian; Tao, Tianhua; Mahbub, Sazan; Li, Dian; Zhuang, Yonghao; Wang, Hongyi; Cheng, Xingyi; Song, Le (2024-12-03), Mixture of Experts Enable Efficient and Effective Protein Understanding and Design, bioRxiv, doi:10.1101/2024.11.29.625425, retrieved 2025-03-02
- ^ Zhang, Jiayou; Meynard-Piganeau, Barthelemey; Gong, James; Cheng, Xingyi; Luo, Yingtao; Ly, Hugo; Song, Le; Xing, Eric (2024-12-05), Balancing Locality and Reconstruction in Protein Structure Tokenizer, bioRxiv, doi:10.1101/2024.12.02.626366, retrieved 2025-03-02
- ^ Li, Pan; Cheng, Xingyi; Song, Le; Xing, Eric (2024-12-05), Retrieval Augmented Protein Language Models for Protein Structure Prediction, bioRxiv, doi:10.1101/2024.12.02.626519, retrieved 2025-03-02
- ^ Zou, Shuxian; Tao, Tianhua; Mahbub, Sazan; Ellington, Caleb N.; Algayres, Robin; Li, Dian; Zhuang, Yonghao; Wang, Hongyi; Song, Le (2024-11-29), A Large-Scale Foundation Model for RNA Function and Structure Prediction, bioRxiv, doi:10.1101/2024.11.28.625345, retrieved 2025-03-02
- ^ Vince, Oliver; Gowers, Glen; McGibbon, Siân. "The Natural Future for AI in Biotech: The Next Generation of Machine Learning Demands Partnership with Biodiversity". GEN Biotechnology. 3 (4): 220–227. doi:10.1089/genbio.2024.0018. ISSN 2768-1572.
- ^ "Unlocking the Future of Biotech: Our Picks for the Top 10 AI Biotech Companies Leading the Charge |". www.scispot.com. Retrieved 2025-02-27.
- ^ "Professor Eric Xing, Co-Founder and Chief Scientist of GenBio AI". www.pharmasalmanac.com. Retrieved 2025-02-27.
- ^ "Le Song | USENIX". www.usenix.org. Retrieved 2025-02-27.
- ^ "Bar-Joseph To Join GenBio AI". Carnegie Mellon School of Computer Science. Retrieved 2025-03-02.
- ^ "Eran Segal". Integrative and Personalised Medicine 2025. Retrieved 2025-02-27.
- ^ "Fabian Theis". sdu. Retrieved 2025-02-27.
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