Publications by authors named "M Borghesi"

Laser-plasma acceleration of protons offers a compact, ultra-fast alternative to conventional acceleration techniques, and is being widely pursued for potential applications in medicine, industry and fundamental science. Creating a stable, collimated beam of protons at high repetition rates presents a key challenge. Here, we demonstrate the generation of multi-MeV proton beams from a fast-replenishing ambient-temperature liquid sheet.

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  • The study examines the impact of smoking on the outcomes of nonmuscle invasive bladder cancer (NMIBC) treated with BCG instillations, indicating that smokers may have poorer results.
  • Approximately 1,313 patients were analyzed using a statistical model to correlate smoking history with disease progression, revealing that heavy smokers have over double the risk of disease progression compared to nonsmokers.
  • The results highlight the importance of considering a patient's smoking history in NMIBC management and the necessity for tailored smoking cessation strategies in treatment plans.
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Article Synopsis
  • About 70% of bladder cancer cases are non-muscle invasive (NMIBC) and inflammation, influenced by factors like smoking, affects treatment outcomes with BCG therapy.
  • A study analyzed data from 1,313 NMIBC patients to examine how smoking and systemic inflammation impact the effectiveness of BCG using a machine-learning algorithm.
  • The results indicated that both smoking status and specific inflammatory markers can significantly predict the risk of disease progression, highlighting the need for tailored treatment strategies and further research to confirm the findings.
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Interactions between magnetic fields advected by matter play a fundamental role in the Universe at a diverse range of scales. A crucial role these interactions play is in making turbulent fields highly anisotropic, leading to observed ordered fields. These in turn, are important evolutionary factors for all the systems within and around.

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Objective: The Contact Surface Area (CSA) is a predictor for peri-operative parameters and represents the contact area between the tumor and the organ. A precise method for calculating CSA is yet to be found. We tested a new CSA calculation method as a predictor of intra-operative parameters in robot assisted partial nephrectomy (RAPN).

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