Treatment selection in breast cancer is guided by risk assessment using molecular subtypes and clinicopathological characteristics. However, current approaches lack the precision required for optimal clinical decision-making. To address this, we use data from 8161 patients to develop and evaluate an AI test integrating digital pathology with clinical data. The AI test provides a robust method for predicting disease-free interval (C-index: 0.71 [0.68-0.75], HR: 3.63 [3.02-4.37, p < 0.001]). In a direct comparison, the AI test displays numerically higher discrimination (C-index: 0.67 [0.61-0.74]) than the standard-of-care 21-gene assay (C-index: 0.61 [0.49-0.73]). Across molecular subtypes, the AI test demonstrates robust prognostic performance, including in triple negative breast cancer (C-index: 0.71 [0.62-0.81], HR: 3.81 [2.35-6.17, p=0.02]), where no guideline-recommended assays currently exist. These findings highlight the potential of AI-based pathology tests as a promising tool for improved risk stratification across all major subtypes, with implications for clinical decision-making.

Craniofacial and corneal neuropathic pain are disabling conditions characterized by persistent pain that is frequently refractory to conventional pharmacologic and interventional therapies. These disorders arise from complex interactions between peripheral nerve injury, neuroinflammation, and maladaptive central sensitization within trigeminal pathways, features that span neuropathic and nociplastic pain mechanisms as defined by the International Association for the Study of Pain, thus emphasizing the need for mechanism-based, patient-stratified treatment strategies. Regenerative medicine offers a paradigm shift from symptom suppression toward structural nerve repair and functional restoration. This narrative review examines the pathophysiological mechanisms underlying craniofacial and corneal neuropathic pain and critically evaluates emerging regenerative therapies, including autologous biologics (autologous serum tears and platelet-rich plasma), mesenchymal stem cells and their derivatives, exosomes and extracellular vesicles, and neurotrophic peptides. Particular emphasis is placed on corneal neuropathic pain as a translational model, given the cornea’s dense sensory innervation and the ability to non-invasively quantify nerve regeneration using in vivo confocal microscopy as an objective biomarker of treatment response. Clinical evidence across regenerative modalities varies by indication: cenegermin has demonstrated robust efficacy and regulatory approval for neurotrophic keratitis, while platelet-rich plasma shows growing evidence in temporomandibular disorders, myofascial pain, and occipital neuralgia. Cell-based and cell-free therapies demonstrate strong preclinical promise but remain limited by heterogeneous protocols and a paucity of large-scale randomized trials. Key barriers to translation include regulatory uncertainty, lack of standardized outcome measures, and workforce and implementation challenges. Advancing regenerative therapies for craniofacial and corneal neuropathic pain will require rigorous clinical trials, biomarker-driven patient selection, and multidisciplinary collaboration. Sex as a biological variable remains underexplored across all regenerative modalities and represents a priority for future research.