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AI Is Beginning to Help Scientists Decide Which Biological Experiments to Run

Artificial intelligence is moving beyond analyzing biological data and beginning to help scientists decide which experiments are most worth conducting. Researchers are developing AI systems that can evaluate competing hypotheses, predict experimental outcomes and recommend the next tests to perform. By learning from existing biological datasets, these systems can help laboratories prioritize promising experiments while reducing time and resources spent on less informative approaches. The emerging field could transform how biological research is planned, accelerating discoveries in medicine, genetics, drug development and biotechnology.