Tag Archives: data science
Export control in a digital world – is synthetic data the future for clinical studies?
Part 5 of ScienceJournalJourneys – Hi I am your SG pharmacometrician, an early career researcher here to share the latest trends and interesting facts in pharmacometrics When you bring goods to another country, it is normal for the goods to … Continue reading
Has AI taken over my job? A comparison of ChatGPT and DeepSeek for generating NONMEM scripts
Prompt: Develop a 1 compartment oral absorption PK model with linear elimination in NONMEM I did a direct comparison of the script outputs in the table below. For the sake of brevity, only CL was discussed in the $PK block, … Continue reading
ScienceJournalJourney 1: How do drug manufacturers make dosing recommendations?
Hi all, Happy New Year to everyone! I’m starting a new series this year called #ScienceJournalJourney where I review an interesting journal article and give a quick layman summary on it. As your favorite post doc influencer on LinkedIn, I … Continue reading
Taking stock – has LinkedIn been useful for an early career scientist?
Its been slightly over a year since I started posting on LinkedIn. From approximately 300 ish followers, my following has grown to 2590 as of writing. Of note, I am happy to know that my coffee PK app has been … Continue reading
A quick visual check for saturated clearance
In many animal studies, a wide range of doses are often used. At high doses, it is possible to have way more drug than its clearance pathway can handle, resulting in less drug than expected being eliminated. This is called … Continue reading
How to build a PK-PD model?
Hello fellow coffee and cat lovers, as with the first caffeine simulator, I will be going through how to run PK-PD simulations too. Link to coffee simulator 2: https://lnkd.in/dAiS3igB We have previously covered how to run PK simulations which you … Continue reading
Why do pharmacokinetic-pharmacodynamic (PK-PD) modeling?
It takes 2 hands to clap. Previously, in my first coffee simulator, https://janicegoh.shinyapps.io/CoffeeSimulator/ we used a simple threshold to determine caffeine efficacy and toxicity. However, this efficacy alone does not tell us exactly how alert we will be with a … Continue reading
Top down vs bottom up pharmacokinetic (PK) modeling – a soft intro
To a person new to PK modeling, understanding the differences between population PK modeling (top down) and physiologically based PK (PBPK) (bottom up) modeling might be confusing. Hopefully, this analogy can help you out. Let’s say you wanted a new … Continue reading
Going beyond dose – why we need PK parameters
Good morning. In today’s weather report, we are expecting 1000L rain. – said no one ever. If I were to read the weather report before going to work, I intuitively want to know 3 things: the location the rain will … Continue reading
A key data science skill all grad students should learn
Hi all, Merry Christmas! Experimenting with posting a slightly different type of content for the Holidays. There has been a lot of hype recently about Artificial Intelligence and data science as the next frontier for humanity’s progress. A quick Google … Continue reading
Singapore Pharmacometrics 