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Showing 1–11 of 11 results
Advanced filters: Author: Enrico Prati Clear advanced filters

  • Human primary and metastatic tumors harbor CD4+ Treg cells that can suppress antitumor immune responses. Bonnal et al. identify an intratumoral type 1 Treg-like CD4+ T cell subset that expresses the transcription factor EOMES, granzyme K and CHI3L2. This EOMES+ T cell subset correlates with disease progression but is responsive to PD-1 checkpoint blockade immunotherapy.

    • Raoul J. P. Bonnal
    • Grazisa Rossetti
    • Massimiliano Pagani
    Research
    Nature Immunology
    Volume: 22, P: 735-745

  • A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

    • Mari E. K. Niemi
    • Juha Karjalainen
    • Chloe Donohue
    ResearchOpen Access
    Nature
    Volume: 600, P: 472-477

  • Quantum compilers are characterized by a trade-off between the length of the sequences, the precompilation time, and the execution time. Here, the authors propose an approach based on deep reinforcement learning to approximate unitary operators as circuits, and show that this approach decreases the execution time, potentially allowing real-time quantum compiling.

    • Lorenzo Moro
    • Matteo G. A. Paris
    • Enrico Prati
    ResearchOpen Access
    Communications Physics
    Volume: 4, P: 1-8

  • Hydrocele in patients aged 13–18 years are mostly likely idiopathic in origin or caused by varicocelectomy. Cimador and colleagues describe the clinical presentation and diagnosis of hydrocele in adolescents, before discussing the possible treatment options for these individuals.

    • Marcello Cimador
    • Marco Castagnetti
    • Enrico De Grazia
    Reviews
    Nature Reviews Urology
    Volume: 7, P: 379-385

  • Adiabatic quantum annealers offer a promising path to establish an edge over classical computation, even though the demonstration of an advantage is still open. In this paper, the authors employ Quantum RBMs on Adiabatic quantum annealers, finding orders-of-magnitude speed-up compared to classical computers on real-world cybersecurity tasks for negative phase sampling.

    • Lorenzo Moro
    • Enrico Prati
    ResearchOpen Access
    Communications Physics
    Volume: 6, P: 1-10

  • Many problems in physics do not have an exact solution method, so their resolution has been sometimes possible only by guessing test functions. The authors apply Deep Reinforcement Learning (DRL) to control coherent transport of quantum states in arrays of quantum dots and demonstrate that DRL can solve the control problem in the absence of a known analytical solution even under disturbance conditions.

    • Riccardo Porotti
    • Dario Tamascelli
    • Enrico Prati
    ResearchOpen Access
    Communications Physics
    Volume: 2, P: 1-9