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  1. 14 de sept. de 2022 · Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the quality of life of human beings. The fields of AI and biological research are becoming more intertwined, and methods for extracting and applying the information stored in live organisms are constantly being refined.

    • 10.3390/life12091430
    • 2022/09
    • Life (Basel). 2022 Sep; 12(9): 1430.
  2. 14 de sept. de 2022 · Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the quality of life of human beings. The fields of AI and biological research are becoming more intertwined, and methods for extracting and applying the information stored in live organisms are constantly being refined.

  3. 21 de may. de 2024 · The advancement of artificial intelligence (AI), algorithm optimization and high-throughput experiments has enabled scientists to accelerate the discovery of new chemicals and materials with unprecedented efficiency, resilience and precision.

  4. 14 de sept. de 2022 · This article summarizes the potentials of AI and their application to several fields of biology, such as medicine, agriculture, and bio-based industry. Keywords: agriculture; artificial intelligence; biotechnology; crop yield; life science; medicine.

  5. 27 de ago. de 2021 · AI for biology will be the cross-cutting technology that will enhance our ability to do biological research at every scale. We expect AI to revolutionize biology in the 21st century much like statistics transformed biology in the 20th century.

  6. 22 de nov. de 2023 · AI technologies, methodologies, and applications can be used throughout the biological sciences and biology R&D, including in engineering biology (e.g., the application of engineering principles and the use of systematic design tools to reprogram cellular systems for a specific functional output).

  7. 24 de oct. de 2023 · From predicting the 3D structures of proteins, deciphering molecular data and biomedical images, and the design of new drugs to understanding ecosystems across space and time – artificial intelligence (AI) and machine learning tools are revolutionising life science research and biomedical applications.