The document summarizes how Elsevier's solutions can help identify novel immunotherapy targets for melanoma by integrating data from multiple sources. It describes using natural language processing to extract information on immune mechanisms from over 20,000 articles, identifying 226 proteins secreted by melanoma that inhibit immune activation and 142 that activate immune tolerance. This approach found many potential immunotherapy targets, including examples of novel targets and opportunities for drug repurposing. Integrating these insights could help create models for combinatorial treatments and better match patients to treatments.