Researchers at Stanford University have employed deep learning to advance treatment of infants seizures, providing another in silico medicine success story.
Mathematical modeling, Machine Learning, and Artificial Intelligence hold much promise for the future of healthcare. However, they're perceived as something that will happen one day in the future. But the future can be much closer than expected because such technologies have already started impacting healthcare.
Scientists and physicians at Stanford University could swiftly tackle a case of infant seizures employing AI. After sequencing the baby's and parents' DNA, scientists and doctors used deep learning methodologies to spot specific patterns in the genomic data of the subjects that could be related to the seizures. This approach allowed the medical team to determine the molecular cause of the seizures in less than eight hours, giving specific indications to the bedside team about patient care.
This is one of the potential applications of in silico medicine, which can make sense of vast amounts of data flagging genes, proteins, metabolites, and other valuable biomarkers of both common and rare diseases. Without such technology, such large datasets couldn't feasibly impact the everyday healthcare for doctors and the whole community of patients.
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