Computational Biomedicine

Authors

  • Yonghong Zhang College of Pharmacy, Chongqing Medical University, Chongqing 400016, China
  • Dongqing Wei State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, China

Keywords:

Computational Biomedicine, Journal aims, Innovation Science

Abstract

The announcement of the inaugural issue of Computational Biomedicine introduces a groundbreaking platform dedicated to exploring the synergy between computational methodologies and biomedical research. Focused on fostering dialogue amongst researchers from diverse disciplines, it aspires to create a thriving ecosystem that integrates computer scientists, biologists, clinicians, engineers, and mathematicians. The debut of Computational Biomedicine signifies not only the commencement of a journal but also ushers in a new paradigm in research, where computational methodologies and biomedical sciences converge. We kindly invite your attention and encourage your support for Computational Biomedicine.

References

Our next-generation model: Gemini 1.5. Available from: https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/#architecture [Last accessed on 10 May 2024].

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. Available from: https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf [Last accessed on 10 May 2024].

https://developers.googleblog.com/2024/02/gemini-15-available-for-private-preview- in-google-ai-studio.html

Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length. Available from: https://twitter.com/JeffDean/status/1758146022726041615 [Last accessed on 10 May 2024].

O'Callaghan J. How OpenAI's text-to-video tool Sora could change science-and society. Nature, 2024; 627(8004): 475-476. https://doi.org/10.1038/d41586-024-00661-0.

Introducing Sora, our text-to-video model. Available from: https://twitter.com/OpenAI/status/1758192957386342435 [Last accessed on 10 May 2024].

https://twitter.com/sama

https://openai.com/sora

Cyranoski D. Strong medicine for China’s journals. Nature, 2010; 467(7313): 261. https://doi.org/10.1038/467261a.

Publish or perish. Nature , 2010; 467: 252. https://doi.org/10.1038/467252a

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Published

2024-05-22

Issue

Vol. 1 No. 1 (2024)

Section

Editorial

License

Copyright (c) 2024 Yonghong Zhang, Dongqing Wei

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