Biobanks fulfill an essential role in advancing research and improving healthcare delivery by making high-quality, well-characterized, and related samples and data readily available for analysis. Therefore, it is becoming increasingly crucial for biobanks to have a greater capacity and adequate informatics capabilities to meet these growing demands.
By storing human biological samples in cryogenic facilities, such collections could revolutionize medicine by providing researchers with access to population-wide information through which they could study the relationship between genetics and disease. Scientists and researchers save lives every year by using the biobanking tool that enables them to investigate diseases. This endeavor has resulted in a significant reduction or complete elimination of many life-threatening diseases.
Biobanking has great potential in the future. A number of techniques such as artificial intelligence, deep learning, computational models, and semantic search could revolutionize the world of biobanking. The role of artificial intelligence is expected to be significant in the coming years.
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