Fabian Eichelmann

Honestly, it's wild to watch the nutrition community continue to get behind a term like UPF (defined by looking at a ingredients and giving a 'bad' label by the presence of an 'industrial' additive) while this exact, scientifically hollow tactic is being rolled out to scare folks away from vaccines.

I'm concerned that this Lancet series on UPFs has been led by a narrow group of popular book authors who've already made up their minds on the harms of processing.

🧵 1/4

A picture of salad finger, a character from YouTube videos in the early 2000s.

Nice work. Reminds me of this guy, which I hope your kid does not know. Nightmare stuff back then.

We are alarmed by reports that Germany is on the verge of a catastrophic about-face, reversing its longstanding and principled opposition to the EU’s Chat Control proposal which, if passed, could spell the end of the right to privacy in Europe. signal.org/blog/pdfs/ge...

Semaglutide Slows Epigenetic Aging in People with HIV-associated lipohypertrophy: Evidence from a Randomized Controlled Trial Semaglutide is a once-weekly GLP-1 receptor agonist that has been proposed as a gerotherapeutic, yet no data exist on its effects on epigenetic aging. We therefore conducted a post-hoc epigenetic anal...

For example www.medrxiv.org/content/10.1...

Did we learn anything of practical value?

This field appears to feed on itself -- I applied clocks, I found associations, therefore clocks show associations, therefore more clocks.

Getting out of this loop would involve understanding what clocks mean.

I fail to understand the value of using epigenetic aging clocks in any situation.

They are being correlated with...stuff. Name the exposure/condition, someone will find a perturbation in one of today's many epigenetic aging clocks.

More expensive and less meaningful than a fortune telling machine.

In silico trials and digital twins are emerging as transformative medical technologies as they offer a unique way to design medical innovations, optimize their application, and evaluate their utility. Their utility spans from individual care – appropriating the technology for personalized decision, to population care – presenting an alternative to design, supplement, or replace clinical trials. They effectually offer a new way to efficiently qualify, quantify, and personalize healthcare innovations in advance or in conjunction with their clinical application. While much progress is underway to advance these technologies across diverse developments, realizing their full potential requires a cohesive goal to unify separate activities towards a common objective. Such a cohesive goal – a moonshot – can be defined as forming and fostering a digital twin of every single human person, owned by the individual, progressively updated with new data, and used to deliver optimized care, technology assessment, and real-world evidence. This vision builds upon a growing body of work in computational modeling, regulatory science, and digital healthcare, underscoring its feasibility. Bringing this vision to reality requires ownership and active engagement of all stakeholders to contribute diverse expertise and resources for transforming medicine and medical appropriation towards a more accurate, efficient, and quantitative future.

These people are dangerous, and I mean that.

academic.oup.com/pnasnexus/ad...

A Table of all published GWAS with metabolomics Here you find references to all published mGWAS in humans, ordered by publication date. If a study is missing from this list, please let me know. Please note that I do not apply a strict inclusion …

Visit the table of all #GWAS with #Metabolomics to read more about the latest #mQTL discoveries (updated 23 April 2024) wp.me/p6NCOp-2y

Advert for the next causal inference interest group seminar

DON'T MISS THE NEXT ALAN TURING INSTITUTE CAUSAL INFERENCE SEMINAR:

On 6th Nov (3pm GMT), Ghadi al Hajj will be talking about #DagSim, a poweful python-based framework for simulating data based on a directed acyclic graph.

Sign up here: tinyurl.com/CIIG-GhadiAl...

#CIIG #EpiSky #CausalSky

lukepilling - Overview Genetic epidemiologist. lukepilling has 16 repositories available. Follow their code on GitHub.

I've put a few #Rstats function's I've used over the years into two R packages - feel free to use:

{lukesRlib} useful for working with test statistics (eg "extreme p-vals"), tidying model output, performing PheWAS, etc

{gwasRtools} determine loci (distance or LD), get nearest gene

The strain on scientific publishing 📄:

We've got issues. Scientists overwhelmed, editors overworked, constant special issue invites, mass article retractions, journal delistings… JUST WHAT IS GOING ON!?

See: arxiv.org/abs/2309.15884

A 🧵1/n
#AcademicChatter #PublishOrPerish #PhDAdvice #PhDChat

resouRces - resouRces: Database of Resources to Learn & Teach R

Sharing this R resources database with y'all! For the past 4 years, I have been accumulating resources (mainly free ones) for new & advanced #Rlearners in their programming journey. Feel free to share!

resourcesdatabase.com

#RStats #RResources #learningR #DataScience #Python #R

A picture of the book cover of Epidemiology matters by Keyes and Galea

I liked this one a lot.

Pile of books with sunglasses on top

#episky I'm updating a reading list on epidemiology and study design for graduate students. I'm looking for recently published textbooks. What do you recommend?