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For instance, in medical image analysis, transfer learning enables the adaptation of pre-trained modelsoriginally trained on large-scale natural image datasetsfor specialized tasks such as medical image classification, yielding strong performance outcomes [47, 48]

By using this single research formulation, investigators can easily study potential synergistic or additive effects while comparing outcome data against each compound used on its own

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