1.The innovation exploration and challenges in AI empowered biotechnology and pharmaceuticals
Peixin LIU ; Minqing PAN ; Liwen LIU ; Lunwei LIU
Modern Hospital 2025;25(4):607-612,617
In recent years,Artificial Intelligence(AI)has been recognized as a key driving force behind the new wave of technological revolution and industrial transformation,gaining significant attention in national top-level strategic planning.Sup-ported by AI technologies,the biopharmaceutical industry has experienced rapidly development,with unprecedented transforma-tions in key areas such as drug discovery,disease diagnosis,bioinformatics,and personalized medicine.This paper primarily summarizes the latest research progress and contributions of AI in these key areas of the biopharmaceutical industry,showcasing the remarkable achievements of AI in the sector.At the same time,it analyzes the challenges faced by AI technologies in the bio-pharmaceutical field,including data privacy protection,algorithm interpretability,and technological ethics,and explores the ur-gent issues that need to be addressed.The paper also looks ahead to new opportunities for AI to further drive innovation and de-velopment in the biopharmaceutical field,offering new perspectives for applied research in this domain.
2.The innovation exploration and challenges in AI empowered biotechnology and pharmaceuticals
Peixin LIU ; Minqing PAN ; Liwen LIU ; Lunwei LIU
Modern Hospital 2025;25(4):607-612,617
In recent years,Artificial Intelligence(AI)has been recognized as a key driving force behind the new wave of technological revolution and industrial transformation,gaining significant attention in national top-level strategic planning.Sup-ported by AI technologies,the biopharmaceutical industry has experienced rapidly development,with unprecedented transforma-tions in key areas such as drug discovery,disease diagnosis,bioinformatics,and personalized medicine.This paper primarily summarizes the latest research progress and contributions of AI in these key areas of the biopharmaceutical industry,showcasing the remarkable achievements of AI in the sector.At the same time,it analyzes the challenges faced by AI technologies in the bio-pharmaceutical field,including data privacy protection,algorithm interpretability,and technological ethics,and explores the ur-gent issues that need to be addressed.The paper also looks ahead to new opportunities for AI to further drive innovation and de-velopment in the biopharmaceutical field,offering new perspectives for applied research in this domain.
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