A Max Planck Institute team applied deep visual proteomics, combining imaging, machine learning, and mass spectrometry, to analyze toxic epidermal necrolysis (TEN) at a spatial proteome level. TEN, a life-threatening immune reaction causing skin loss, previously lacked effective therapies. By mapping protein alterations in patient-derived samples, the study identified molecular mechanisms driving TEN, paving the way towards targeted therapeutic development for this severe dermatologic emergency.