KALIS – a web-based system for patient-specific risk assessment of drugs
Shoshi A (2017)
Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover.
Kurzbeitrag Konferenz / Poster
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Einrichtung
Erscheinungsjahr
2017
Konferenz
Workshop on Computational Models in Biology and Medicine 2017
Konferenzort
Hannover
Konferenzdatum
2017-03-02 – 2017-03-03
Page URI
https://pub.uni-bielefeld.de/record/2912309
Zitieren
Shoshi A. KALIS – a web-based system for patient-specific risk assessment of drugs. Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover.
Shoshi, A. (2017). KALIS – a web-based system for patient-specific risk assessment of drugs. Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover.
Shoshi, Alban. 2017. “KALIS – a web-based system for patient-specific risk assessment of drugs”. Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover .
Shoshi, A. (2017).“KALIS – a web-based system for patient-specific risk assessment of drugs”. Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover.
Shoshi, A., 2017. KALIS – a web-based system for patient-specific risk assessment of drugs. Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover.
A. Shoshi, “KALIS – a web-based system for patient-specific risk assessment of drugs”, Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover, 2017.
Shoshi, A.: KALIS – a web-based system for patient-specific risk assessment of drugs. Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover (2017).
Shoshi, Alban. “KALIS – a web-based system for patient-specific risk assessment of drugs”. Presented at the Workshop on Computational Models in Biology and Medicine 2017, Hannover, 2017.
Link(s) zu Volltext(en)
Access Level
Closed Access
Google Scholar