By training deep learning models to read structural decay in tissue biopsies, researchers can now estimate the biological age of specific organs and predict chronic disease risk.
Flawed data practices in machine learning are inflating the accuracy of brain-wave schizophrenia tests by up to thirty percent, masking a quiet reproducibility crisis.