🔍 Importance of Uncertainty Quantification in Predictive Models

1. Understanding uncertainty in model predictions is crucial due to risks associated with incorrect forecasts. 🚫⚠️

2. Without quantifying model uncertainty, accurate predictions and random guesses are…

Bayesian analysis is a statistical approach grounded in Bayes' theorem. It combines prior knowledge with new evidence to update probabilities, offering a robust framework that excels in uncertainty quantification. This makes it invaluable in machine learning, where uncertainty…

Tom Keelin - The Metalog distributions: future of risk management quantification

youtube.com/watch?v=0SY5HA…

SqueezeMetrics

$5 | 76.000 IDR ~ 180 MINS

- RT this + Like & Comment on YT video 👉🏻 youtu.be/MtxIBoTRkiY (+proof)

🚀 Inductively Coupled Plasma Mass Spectrometry

👉 Inductively Coupled Plasma Mass Spectrometry, often referred to as ICP-MS, is a highly versatile analytical technique used for the detection and quantification of many elements. (...)

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An XIC-Centric Strategy for Improved Identification and Quantification in Proteomic Data Analyses pubs.acs.org/doi/10.1021/ac…

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#prot eomics #prot -paper

Quantification of movement disorders relative to pharmacological effects eurekamag.com/research/033/0…

In our genome sequencing & bioinformatics workshop, the wet lab team is handling library preparation, quantification & miSeq sequencing, while the bioinformatics group is focused on scripting, genome assembly & quality assessment on Day 4! #Genomics #Bioinformatics #Workshop

Uncertainty Quantification of Predictions with Bayesian Inference.

Educational Review: Myocardial extracellular volume quantification with computed tomography—current status and future outlook. (Giulia Cundari et al., Alkadhi)

#InsightsIntoImaging

🔗 buff.ly/49RpvKT

🌟 New Publication Alert! 🌟 Our latest research on the influence of soil texture on organic carbon quantification across sensing platforms is out now! Dive into our findings from airborne to spaceborne domains. 🛰️🌱
Check it out 👉 authors.elsevier.com/c/1i~q7c13yZGti

Check out this latest story, which highlights how the Chemonics-led USAID USAID Global Health Supply Chain project developed a modernized Quantification Analytics Tool (QAT) solution for country-led forecasting and supply planning! ow.ly/qzBF30sC3Qx

Mitral valve is not the true passion af Denisa Denisa Muraru but this was a great lecture on mitral regurg!!! 👏🏼👏🏼
Thank you for the valuable methodological and very pragmatic clinical insights in quantification of MR with all affordable methods✨👍🏻
My favorite take home points:…

Congratulations to our Platform 4 Co-Lead Lewis Research Group as well as Dr. Stephanie Bishop and co-authors on the publication of their new web-based software tool SCALiR, used to automate absolute quantification of #metabolomics data. Read the article here: pubs.acs.org/doi/abs/10.102…

Yes, #absolute quantification in #metabolomics is HARD.

Just like;

Science is hard.

Life is hard.

Comprehensive Myocardial Assessment by Computed Tomography: Impact on Short-Term Outcomes After Transcatheter Aortic Valve Replacement

myocardial quantification of CT-ECV and CT-GLS associated with post-TAVR outcomes in a contemporary low-risk

jacc.org/doi/10.1016/j.…

Dropout-based uncertainty quantification methods received a lot of undue attention when they were introduced in 2017, but are now recognized as one of the least effective methods for delivering reliable probabilistic predictions.

Below are results from using dropout based…

Check out this latest story, which highlights how the Chemonics-led USAID USAID Global Health Supply Chain project developed a modernized Quantification Analytics Tool (QAT) solution for country-led forecasting and supply planning! ow.ly/K05s30sC2Tz

“Show me the incentive, I'll show you the outcome.” - Charlie Munger

Individuals capable of raising millions for decades on nothing more than the allure of potential, with evaluations based on vanity and speculation rather than quantification backed by empirical data, amidst a…