Maurizio Sessa

Maurizio Sessa

Associate Professor

ORCID: 0000-0003-0874-4744

Publication year:
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71 - 80 out of 99Page size: 10
  1. 2022
  2. Published

    The Relationship between Timing of Pretransplant Kidney Biopsy, Graft Loss, and Survival in Kidney Transplantation: An Italian Cohort Study

    Odaldi, F., Serenari, M., Comai, G., La Manna, G., Bova, R., Frascaroli, G., Malvi, D., Maroni, L., Vasuri, F., Germinario, G., Baraldi, O., Capelli, I., Cuna, V., Sangiorgi, G., D'Errico, A., Del Gaudio, M., Bertuzzo, V. R., Zanfi, C., Sessa, Maurizio & Ravaioli, M., 2022, In: Nephron. 146, 1, p. 22–31

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    Pharmacological and epidemiological considerations while constructing treatment episodes using observational data: A simulation study

    Pazzagli, L., Andersen, Morten & Sessa, Maurizio, 2022, In: Pharmacoepidemiology and Drug Safety. 31, 1, p. 55-60

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    Rationale and performances of a data-driven method for computing the duration of pharmacological prescriptions using secondary data sources

    Pazzagli, L., Liang, D., Andersen, Morten, Linder, M., Khan, A. R. & Sessa, Maurizio, 2022, In: Scientific Reports. 12, 1, 8 p., 6245.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    Hypothermic oxygenated perfusion in extended criteria donor liver transplantation: A randomized clinical trial

    Ravaioli, M., Germinario, G., Dajti, G., Sessa, Maurizio, Vasuri, F., Siniscalchi, A., Morelli, M. C., Serenari, M., Del Gaudio, M., Zanfi, C., Odaldi, F., Bertuzzo, V. R., Maroni, L., Laurenzi, A. & Cescon, M., 2022, In: American Journal of Transplantation. 22, 10, p. 2401-2408

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Impact of MELD 30-allocation policy on liver transplant outcomes in Italy

    Ravaioli, M., Lai, Q., Sessa, M., Ghinolfi, D., Fallani, G., Patrono, D., Di Sandro, S., Avolio, A., Odaldi, F., Bronzoni, J., Tandoi, F., De Carlis, R., Pascale, M. M., Mennini, G., Germinario, G., Rossi, M., Agnes, S., De Carlis, L., Cescon, M., Romagnoli, R. & 1 others, De Simone, P., 2022, In: Journal of Hepatology. 76, 3, p. 619-627

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    Reply to: "Impact of MELD 30-allocation policy on liver transplant outcomes in Italy: Considerations"

    Sessa, Maurizio, Lai, Q., Germinario, G. & Ravaioli, M., 2022, In: Journal of Hepatology. 77, 2, p. 573-574

    Research output: Contribution to journal › Letter › Research › peer-review

  8. Published

    Artificial neural network vs pharmacometric model for population prediction of plasma concentration in real-world data: a case study on valproic acid

    Soeorg, H., Sverrisdóttir, E., Andersen, Morten, Lund, Trine Meldgaard & Sessa, Maurizio, 2022, In: Clinical Pharmacology and Therapeutics. 111, 6, p. 1278-1285

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Pharmacom-epi: A framework for integrating pharmacometric modeling into Pharmacoepidemiological research using real-world data

    Soeorg, H., Sverrisdottir, E., Andersen, Morten, Lund, Trine Meldgaard & Sessa, Maurizio, 2022, In: Pharmacoepidemiology and Drug Safety. 31, S2, p. 568-569

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  10. Published

    The PHARMACOM-EPI framework for integrating pharmacometric modelling into pharmacoepidemiological research using real-world data: application to assess death associated with valproate

    Soeorg, H., Sverrisdóttir, E., Andersen, Morten, Lund, Trine Meldgaard & Sessa, Maurizio, 2022, In: Clinical Pharmacology and Therapeutics. 111, 4, p. 840-856

    Research output: Contribution to journal › Journal article › Research › peer-review

  11. 2023
  12. Published

    Developing an Artificial Intelligence-Guided Signal Detection in the Food and Drug Administration Adverse Event Reporting System (FAERS): A Proof-of-Concept Study Using Galcanezumab and Simulated Data

    Al-Azzawi, F., Mahmoud, I., Haguinet, F., Bate, A. & Sessa, Maurizio, 2023, In: Drug Safety. 46, p. 743–751

    Research output: Contribution to journal › Journal article › Research › peer-review

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