2509001337
  • Open Access
  • Editorial

Perspectives on Artificial Intelligence for Medicine

  • Lanjing Zhang  1,   
  • Yanjun Li  2, 3, *

References 

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    Du, K.; Du, J.; Wei, Z. Self-Supervised Based Multi-View Graph Presentation Learning for Drug-Drug Interaction Prediction. Trans. Artif. Intell. 2025, 1, 1–15.
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    Deng, F.; Feng, C.H.; Gao, N.; et al. Normalization and Selecting Non-Differentially Expressed Genes Improve Machine Learning Modelling of Cross-Platform Transcriptomic Data. Trans. Artif. Intell. 2025, 1, 83–104.
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    Zhao, Y.; Pang, J.; Zhu, X.; et al. LLM-Prompting Driven AutoML: From Sleep Disorder—Classification to Beyond. Trans. Artif. Intell. 2025, 1, 59–82.
  • 4.
    Gondkar, Y.; Zheng, C.; Yang, Y.; et al. SUGAR: A Sequence Unfolding Based Transformer Model for Group Activity Recognition. Trans. Artif. Intell. 2025, 1, 227–245.
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How to Cite
Zhang , L.; Li , Y. Perspectives on Artificial Intelligence for Medicine. Transactions on Artificial Intelligence 2025, 1 (1), 246–247. https://doi.org/10.53941/tai.2025.100016.
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