“…By using the different fit coefficients for fat and collagen, the authors demonstrated a Raman diagnostic algorithm illustrating 94% sensitivity, 96% specificity, and 86% overall accuracy for detecting infiltrating carcinoma. A range of other studies also demonstrated the potential of Raman spectroscopy in diagnosing breast cancer in human and mouse breast tissues [ 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 ]. By exploiting the fingerprint region of the Raman spectrum and various machine learning techniques, Raman spectroscopy showed diagnostic potential for distinguishing cancerous tissues from normal tissues in brain cancer [ 56 , 97 , 98 , 99 , 100 ], skin cancer [ 42 , 101 , 102 , 103 , 104 , 105 ], gastrointestinal cancer [ 106 , 107 , 108 , 109 ], and lung cancer [ 110 , 111 ].…”