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Frontiers in Bioinformatics|May 14, 2023
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learningDaniele M Papetti, Simone Spolaor, Iman Nazari, et al.
Frontiers in Molecular Biosciences|March 8, 2021
The Multi-Level Mechanism of Action of a Pan-Ras Inhibitor Explains its Antiproliferative Activity on Cetuximab-Resistant Cancer CellsRenata Tisi, Michela Spinelli, Alessandro Palmioli, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology|September 26, 2017
Selecting patients for resection after primary chemotherapy for non-metastatic pancreatic adenocarcinomaM Reni, S Zanon, G Balzano, et al.
Applied Sciences (Basel, Switzerland)|July 26, 2021
ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence MicroscopyLeonardo Rundo, Andrea Tangherloni, Darren R Tyson, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|September 6, 2024
Machine Learning Streamlines the Morphometric Characterization and Multiclass Segmentation of Nuclei in Different Follicular Thyroid Lesions: Everything in a NUTSHELLVincenzo L'Imperio, Vasco Coelho, Giorgio Cazzaniga, et al.
Endocrine Pathology|October 6, 2025
MiThyCA: A Computational Pathology Pipeline for the Identification of Microscopic Foci of Papillary Thyroid Carcinoma-Like Nuclear Features with AI in Whole-Slide Histological ImagesLeone Bacciu, Mario Urso, Vasco Coelho, et al.
Computer Methods and Programs in Biomedicine|December 31, 2022
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scarDaniele M Papetti, Kirsten Van Abeelen, Rhodri Davies, et al.
EMBO Reports|June 17, 2025
GPNMB marks a quiescent cell population in melanoma and promotes metastasis formationFiorenza Lotti, Marine Melixetian, Thalia Vlachou, et al.
Nature Communications|September 20, 2023
Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistanceCirino Botta, Cristina Perez, Marta Larrayoz, et al.
Trials|July 3, 2024
Comparison of "IN-REC-SUR-E" and LISA in preterm neonates with respiratory distress syndrome: a randomized controlled trial (IN-REC-LISA trial)Giovanni Vento, Angela Paladini, C Aurilia, et al.
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