Marc H. Scheetz (@idpharmacometrx) 's Twitter Profile
Marc H. Scheetz

@idpharmacometrx

Professor of Pharmacy & Pharmacology @MWUPCE & practice @NM_IDSteward. We design optimal antibiotic regimens to improve safety and efficacy.

ID: 1001476869454270464

linkhttps://www.midwestern.edu/pce calendar_today29-05-2018 14:54:27

2,2K Tweet

5,5K Followers

1,1K Following

Antibiotic Steward Bassam Ghanem 🅱️C🆔🅿️🌟 (@absteward) 's Twitter Profile Photo

Efficacy for prolonged infusion beta-lactam dosing schemes has been previously described, but there has been less focus on the safety of this strategy! 🆕️🔥 #IJAA Meta-analysis on safety of standard vs prolonged infusion of beta-lactams #IDXposts sciencedirect.com/science/articl…

Marc H. Scheetz (@idpharmacometrx) 's Twitter Profile Photo

Since ~2% of my twitter is science, these days... here is our contribution. Friday MWUPCE - Pharmacometrics Center of Excellence meeting. Jim is teaching us how to write your PowerPoints in R for PK/PD data. I am fully convinced he is a bot, powered by AI. But he did eat a bagel. #precisiondosing

Since ~2% of my twitter is science, these days... here is our contribution.  Friday <a href="/mwupce/">MWUPCE - Pharmacometrics Center of Excellence</a> meeting.  Jim is teaching us how to write your PowerPoints in R for PK/PD data.  I am fully convinced he is a bot, powered by AI.  But he did eat a bagel. 
#precisiondosing
Marc H. Scheetz (@idpharmacometrx) 's Twitter Profile Photo

Wonderful to work with such an excellent team of collaborators on this one. Hope that many of these tools for understanding antibiotic kidney toxicity and impact on kidney function will be deployed (with improved targets) in the future. Jack Chang Gwendolyn Pais Erin Barreto

Max Roser (@maxcroser) 's Twitter Profile Photo

Why numbers are sometimes better than words. What people think you say when you say “little chance,” “probably not,” or “highly likely.”

Why numbers are sometimes better than words.  

What people think you say when you say “little chance,” “probably not,” or “highly likely.”