Salma Bahnasawy
Doktorand vid Institutionen för farmaci; Klinisk farmaci och farmakoterapi
- E-post:
- salma.bahnasawy@uu.se
- Besöksadress:
- Biomedicinskt Centrum BMC, Husargatan 3
- Postadress:
- Box 580
751 23 UPPSALA

Publikationer
Senaste publikationer
Plasma effects on bacterial time-kill dynamics: Insights from a PK/PD modelling analysis
Ingår i International Journal of Antimicrobial Agents, 2025
- DOI för Plasma effects on bacterial time-kill dynamics: Insights from a PK/PD modelling analysis
- Ladda ner fulltext (pdf) av Plasma effects on bacterial time-kill dynamics: Insights from a PK/PD modelling analysis
Ingår i International Journal of Antimicrobial Agents, 2024
- DOI för Physiologically-based pharmacokinetic modelling in sepsis: A tool to elucidate how pathophysiology affects meropenem pharmacokinetics
- Ladda ner fulltext (pdf) av Physiologically-based pharmacokinetic modelling in sepsis: A tool to elucidate how pathophysiology affects meropenem pharmacokinetics
Ingår i Cytokine, 2023
- DOI för Predicting cytokine kinetics during sepsis; a modelling framework from a porcine sepsis model with live Escherichia coli
- Ladda ner fulltext (pdf) av Predicting cytokine kinetics during sepsis; a modelling framework from a porcine sepsis model with live Escherichia coli
Modelling antibiotic PKPD in a lung-mimicking transwell model
Alla publikationer
Artiklar i tidskrift
Plasma effects on bacterial time-kill dynamics: Insights from a PK/PD modelling analysis
Ingår i International Journal of Antimicrobial Agents, 2025
- DOI för Plasma effects on bacterial time-kill dynamics: Insights from a PK/PD modelling analysis
- Ladda ner fulltext (pdf) av Plasma effects on bacterial time-kill dynamics: Insights from a PK/PD modelling analysis
Ingår i International Journal of Antimicrobial Agents, 2024
- DOI för Physiologically-based pharmacokinetic modelling in sepsis: A tool to elucidate how pathophysiology affects meropenem pharmacokinetics
- Ladda ner fulltext (pdf) av Physiologically-based pharmacokinetic modelling in sepsis: A tool to elucidate how pathophysiology affects meropenem pharmacokinetics
Ingår i Cytokine, 2023
- DOI för Predicting cytokine kinetics during sepsis; a modelling framework from a porcine sepsis model with live Escherichia coli
- Ladda ner fulltext (pdf) av Predicting cytokine kinetics during sepsis; a modelling framework from a porcine sepsis model with live Escherichia coli