Vacca, Angelo

MHC Class I Antigen Processing and Presenting Machinery: Organization, Function, and Defects in Tumor Cells

Leone, P., Shin, E.-C., Perosa, F., Vacca, A., Dammacco, F., & Racanelli, V. (2013) · JNCI Journal of the National Cancer Institute

Immunotherapy and Immune Responsesvaccines and immunoinformatics approaches

Cited by 553

In vivo activation of JAK2/STAT‐3 pathway during angiogenesis induced by GM‐CSF

Valdembri, D., Serini, G., Vacca, A., Ribatti, D., & Bussolino, F. (2002) · The FASEB Journal

Cytokine Signaling Pathways and InteractionsAngiogenesis and VEGF in Cancer

Cited by 144

Mechanisms of Resistance to Anti-CD38 Daratumumab in Multiple Myeloma

Saltarella, I., Desantis, V., Melaccio, A., Solimando, A. G., Lamanuzzi, A., Ria, R., Storlazzi, C. T., Mariggiò, M. A., Vacca, A., & Frassanito, M. A. (2020) · Cells

Multiple Myeloma Research and TreatmentsMonoclonal and Polyclonal Antibodies Research

Cited by 127

Addition of elotuzumab to lenalidomide and dexamethasone for patients with newly diagnosed, transplantation ineligible multiple myeloma (ELOQUENT-1): an open-label, multicentre, randomised, phase 3 trial

Dimopoulos, M. A., Richardson, P. G., Bahlis, N. J., Grosicki, S., Cavo, M., Beksaç, M., Legieć, W., Liberati, A. M., Goldschmidt, H., Belch, A., et al. (2022) · The Lancet Haematology

Multiple Myeloma Research and TreatmentsBone health and treatments

Cited by 48

Anti-VEGF Drugs in the Treatment of Multiple Myeloma Patients

Ria, R., Melaccio, A., Racanelli, V., & Vacca, A. (2020) · Journal of Clinical Medicine

Multiple Myeloma Research and TreatmentsAngiogenesis and VEGF in Cancer

Cited by 40

Artificial Intelligence in Dermatopathology: New Insights and Perspectives

Cazzato, G., Colagrande, A., Cimmino, A., Arezzo, F., Loizzi, V., Caporusso, C., Marangio, M., Foti, C., Romita, P., Lospalluti, L., et al. (2021) · Dermatopathology

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 37

Dermatopathology of Malignant Melanoma in the Era of Artificial Intelligence: A Single Institutional Experience

Cazzato, G., Massaro, A., Colagrande, A., Lettini, T., Cicco, S., Parente, P., Nacchiero, E., Lospalluti, L., Cascardi, E., Giudice, G., et al. (2022) · Diagnostics

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 34

Homotypic and Heterotypic Activation of the Notch Pathway in Multiple Myeloma–Enhanced Angiogenesis: A Novel Therapeutic Target?

Saltarella, I., Frassanito, M. A., Lamanuzzi, A., Brevi, A., Leone, P., Desantis, V., Di Marzo, L., Bellone, M., Derudas, D., Ribatti, D., et al. (2019) · Neoplasia

Multiple Myeloma Research and TreatmentsAngiogenesis and VEGF in Cancer

Cited by 32

Artificial Intelligence Applied to a First Screening of Naevoid Melanoma: A New Use of Fast Random Forest Algorithm in Dermatopathology

Cazzato, G., Massaro, A., Colagrande, A., Trilli, I., Ingravallo, G., Casatta, N., Lupo, C., Ronchi, A., Franco, R., Maiorano, E., et al. (2023) · Current Oncology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 18

Artificial Intelligence in the Histopathological Assessment of Non-Neoplastic Skin Disorders: A Narrative Review with Future Perspectives

Della Mura, M., Sorino, J., Colagrande, A., Daruish, M., Ingravallo, G., Massaro, A., Cazzato, G., Lupo, C., Casatta, N., Ribatti, D., et al. (2025) · Medical Sciences

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 6