Generative AI is transforming life science and education by offering innovative solutions that enhance research, streamline processes, and personalize learning experiences. In drug discovery, genomics, medical imaging, and learning, as well as in personalization, generative AI’s potential progresses.But data quality, data bias, and ethical issues regarding data usage are some of the things of concern that should be pursued to the maximum. AI for generations, thus, will be the work of further cooperation between different fields and AI’s development. Therefore, to ensure that growth in generative AI is utilized in a proper manner it should be noted that this approach can create benefits in the segment of improving healthcare, and education, which will bring value to the society.
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