We have developed a reverse immunology platform that relies on machine learning-guided reconstruction of antibodies from diseased tissue sources, such as tertiary lymphoid structures (TLS) derived from patient samples with exceptional outcomes in cancer, auto-immune, and infectious diseases. Using immune transcriptomics and artificial intelligence, our reverse immunology pipeline can reconstruct fully human antibodies directly from patient samples by combining heavy and light chains of antibodies isolated from TLS within affected tissue.