Adrian G. Zucco

PhD | Postdoc @UCPH_health, working in xAI & Complexity Science & Public Health
Passionate about Philosophy, Psychology, Cog Sci and the arts!

[Dr James Davies (PhD) 💭 @JDaviesPhD]

It's less a mental health crisis that's afflicting young adults, than a crisis of demoralisation. Low wages, high debts/rents mean that most can't save for the future, which is the primary compensation for doing unfulfilling work. Seeing no way out is demoralising a generation.

[Dr James Davies (PhD) 💭 @JDaviesPhD]

Phone overuse is not a medical problem, it's a social one, requiring social solutions. The call to create another disorder-category for it in the DSM, is a call to push policy in the direction of 'treatment' & away from serious reflection on social reform.
https://t.co/fwQHhV6lD1

[nature @Nature]

Argentina presidential election: front runner Javier Milei vows to slash science funding https://t.co/MUygf1MD39

[Dr. Josef @DrJosefWD]

Everyday I work with patients severely neurological damage from benzos/antidepressants. When I ask them how they got started on medications this is what I hear:

"My boyfriend broke up with me", "I was lonely and living in a new town", " I started college and was having anxiety living away from home".

Come on people, these are not reasons to put people chronically on these drugs

[Ethan Mollick @emollick]

Fascinating paper comparing crowdsourced human vs. GPT-4 business ideas; two big findings:
1) Idea quality was the same. Humans came up with slightly more novel ideas, the AI came up with more valuable ones
2) Prompt crafting didn't make a big difference https://t.co/27gq3ON1u5

[Ricard Solé @ricard_sole]

What is complexity? What kind of approach is needed to define it? Here's a 1977 paper by Robert Rosen, one of the pioneers of System Science, discussing how information, error and scale are central to this problem, https://t.co/8E9d7BLhyp @manlius84 @PedroM_Z @_AlexArenas

[Valeriy M., PhD, MBA, CQF @predict_addict]

A new amazing talk by the great Emmanuel Candes “A taste of conformal prediction”

”Conformal inference methods are becoming all the rage in academia and industry alike. In a nutshell, these methods deliver exact prediction intervals for future observations without making any distributional assumption whatsoever other than having iid, and more generally, exchangeable data. This talk will review the basic principles underlying conformal inference and survey some major contributions that have occurred in the last 2-3 years or. We will discuss enhanced conformity scores applicable to quantitative as well as categorical labels. If time allows, we will also survey novel methods which deal with situations, where the distribution of observations can shift drastically.”

#future #conformalprediction #machinelearning

https://t.co/dQZkoYT4l9

[Epi_Copenhagen @Epi_Copenhagen]

'We truly believe that adopting these guidelines can save up enormous time and financial resources for academia'

Great blog post giving a light summary of the recent paper on manuscript reformatting costs and proposed simplified guidelines

Read here 👇https://t.co/M78BrjE1ep

[Kareem Carr, Ph.D. @kareem_carr]

Statistics can never be completely objective.

This is not just my opinion. It's a *mathematical* fact.

Read on if you want to learn a deep fundamental truth about data and its relationship to the universe we live in.

[Andrew D. Huberman, Ph.D. @hubermanlab]

People’s sleep needs vary but 75-85% need 6-8hrs per night (ideally). Some 4-5 (rarely) and some 9-10 (also rare). Teens and those recovering from illness/injury usually need 8-10, even 12. Babies need even more. The issue is whether or not you feel rested during the day. If you do and you only need a short nap or no nap at all, then you’re probably getting enough sleep.

[Andrew D. Huberman, Ph.D. @hubermanlab]

The psychological impact of deliberate cold exposure protocols such as cold plunges and showers are undeniable, both for those that do them and love them (and/or the feeling afterwards) and for those that loathe and/or fear them and avoid them altogether.

[PERSIMUNE @PERSIMUNE]

In a new study by @JensChristianN4, we utilize metagenomic sequencing to show how antibiotic treatment in vivo induces gut #microbiome dysbiosis and increased levels of #AntibioticResistance in gut bacteria. @JIDJournal
https://t.co/budfEDMgkh

[Andrew D. Huberman, Ph.D. @hubermanlab]

New paper @CellRepMed comparing effects of brief (5min) meditation vs brief deliberate breathing practices.
Basically: Breathwork > Meditation for improving mood & autonomic physiology around the clock & Physiological Sighs provide maximal stress relief.
https://t.co/sYe3N7RJT5

[Jean de Dieu Nyandwi @Jeande_d]

Machine Learning Engineering for Production (MLOps) - DeepLearningAI

Building models is one thing. Making them useful is another thing. The first course of the MLOps specialization teaches the ML lifecycle & deploying models.

Course 1 is free on Youtube: https://t.co/IHNNAdgizs

[Naja Hulvej Rod @HulvejRod]

Imagine being surrounded by creative colleagues who can turn data patterns into an audible soundtracks. This is exactly what @LNguyensen and Mads Kamper-Jørgensen have done, creating the sound waves of the Covid-19 pandemic. I can only recommend listening.
https://t.co/AE3H9Te3yZ

[Adrian G. Zucco @adrigabzu]

@CMacPhD Thanks Cameron for your support during my PhD not only academically but also on a personal level. Any team you are leading currently is very lucky to have you ^^

[Adrian G. Zucco @adrigabzu]

Thanks to my supervisors, colleagues at @cphiv | @PERSIMUNE , family and friends for their support along this journey :)

[PERSIMUNE @PERSIMUNE]

Today @adrigabzu is defending his PhD thesis on Explainable Machine Learning for Precision Medicine of Patients with Infectious Diseases.
We want to thank Adrian for his contribution to the research carried out at #PERSIMUNE centre

[Adrian G. Zucco @adrigabzu]

@moestrup Tusind tak <3 You are coming next soon and you have a bot to help you now :)

[Andrew D. Huberman, Ph.D. @hubermanlab]

Don’t ask how people are doing,
ask how they are sleeping.
You’ll learn a lot more.

[Santiago @svpino]

In 2017, a team led by Andrew Ng published a paper showing off a Deep Learning model to detect pneumonia.

Andrew is one of the most recognized researchers in the world, and the paper showed excellent results.

But there was a big problem with their results:

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