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11 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
AI-based digital pathology and spatial proteomics enable precision oncology: A case report of recurrent melanoma in a young patient
AuthorsJéssica Guedes; Nicole Woldmar; Eszter Baltas; András Kriston; Ede Migh; Ferenc Kovács; Henriett Oskolás; Matilda Marko-Varga; Roger Appelqvist; Elisabet Wieslander; A. Marcell Szasz; Zoltán Veréb; Rolland Gyulai; István Balázs Németh; Johan Malm; Peter Horvath; Jeovanis Gil; György Marko-Varga
Affiliations1. Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Lund, Sweden; 2. Department of Dermatology and Allergology, Albert Szent-Györgyi Faculty of Medicine, University of Szeged, Szeged, Hungary; 3. Synthetic and Systems Biology Unit, HUN-REN Biological Research Centre (HUN-REN BRC), Szeged, Hungary; 4. Single-Cell Technologies Ltd., Szeged, Hungary; 5. Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, Lund, Sweden; 6. Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary; 7. University Hospital Szeged Biobank, Szeged, Hungary; 8. Department of Dermatology, Venerology and Oncodermatology, Faculty of Medicine, University of Pécs, Pécs, Hungary; 9. Institute of AI for Health, Helmholtz Zentrum München, Neuherberg, Germany; 10. Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; 11. Chemical Genomics Global Research Lab, Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea; 12. 1st Department of Surgery, Tokyo Medical University, Tokyo, Japan
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