Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Davide Ferrari and Giuseppe Banfi.
Connection Strength

2.331
  1. Harmonization of six quantitative SARS-CoV-2 serological assays using sera of vaccinated subjects. Clin Chim Acta. 2021 Nov; 522:144-151.
    View in: PubMed
    Score: 0.963
  2. Role of time-normalized laboratory findings in predicting COVID-19 outcome. Diagnosis (Berl). 2020 Nov 18; 7(4):387-394.
    View in: PubMed
    Score: 0.228
  3. Routine blood analysis greatly reduces the false-negative rate of RT-PCR testing for Covid-19. Acta Biomed. 2020 09 07; 91(3):e2020003.
    View in: PubMed
    Score: 0.225
  4. Routine blood tests as a potential diagnostic tool for COVID-19. Clin Chem Lab Med. 2020 06 25; 58(7):1095-1099.
    View in: PubMed
    Score: 0.222
  5. LC-MS/MS method for simultaneous determination of linezolid, meropenem, piperacillin and teicoplanin in human plasma samples. J Pharm Biomed Anal. 2019 May 30; 169:11-18.
    View in: PubMed
    Score: 0.203
  6. Toxicological investigation in blood samples from suspected impaired driving cases in the Milan area: Possible loss of evidence due to late blood sampling. Forensic Sci Int. 2018 Jul; 288:211-217.
    View in: PubMed
    Score: 0.191
  7. Alcohol and illicit drugs in drivers involved in road traffic crashes in the Milan area. A comparison with normal traffic reveals the possible inadequacy of current cut-off limits. Forensic Sci Int. 2018 Jan; 282:127-132.
    View in: PubMed
    Score: 0.186
  8. Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests. Clin Chem Lab Med. 2020 10 21; 59(2):421-431.
    View in: PubMed
    Score: 0.057
  9. Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study. J Med Syst. 2020 Jul 01; 44(8):135.
    View in: PubMed
    Score: 0.056
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.