Artificial intelligence in biotechnology AI applications in biotech include drug target identification, drug screening, image screening, and predictive modeling. ... By leveraging machine learning, AI can manage disparate clinical trial datasets, enable virtual screening, and analyze vast amounts of data.
The biotech industry is witnessing unprecedented demand on many fronts. Companies are looking to invest in fast-paced innovation, systematic storage of massive research data, analysis of humongous databases, and meticulous management of the business processes. AI-enabled applications play a crucial role in meeting these demands. Machine learning, robotics, informatics, and AI branches can help in expanding the horizons of the biotechnology industry and move towards newer possibilities.