Eterno.network

Learn how to start in longevity biotech together. Starting in #Bioinformatics

[Eterno.network @CloudGenomics]

Comment below if you want to learn #python and you're a beginner, Starting a Whatsapp group this week

[Elon Musk @elonmusk]

This is cool

[Eterno.network @CloudGenomics]

The most important goal of 21st century is to cure ageing and recognize it as the disease it is.

Only like-minded people can follow. Otherwise not interested.

News will come soon.

[Eterno.network @CloudGenomics]

Join us to defeat aging. Humanity's best chance is reflected in the roadmap that @LBF_org has been working with 400+ professionals around the world. Brilliant people, putting the mission above everything else.

[Longevity Biotech Fellowship @LBF_org]

1/ Announcing COHORT 4 of the Longevity Biotech Fellowship!

Aging can be defeated. We're building a plan. We need humanity's top talent to join the revolution against aging!

Apply now: https://t.co/nfuqdRHm6i
⏳ LBF4 Deadline April 30
🇪🇸 Kickoff May 15-19 Valencia Spain

[Anthony Gitter @anthonygitter]

The February issue of @NatureBiotech is a focus on protein engineering. There are so many great news & views, primers, and reviews. 1/

[Amina Yonis, PhD @DrAminaYonis]

You CAN write a research paper in a weekend using AI.

Here’s how Paperpal Copilot can automate the writing process in just 6 steps:

Bookmark this for all your writing in the new year!

[Eterno.network @CloudGenomics]

@bryan_johnson I always thought it was common sense to recognize what you do as admirable. Reading the comments it looks like it's not. Keep the good work and sharing your progress.

[Bo Wang @BoWang87]

Interested in LLMs for genomic research but don't know where to start? looking for a review/survey to get started in this field? 👇👇😀

I am very excited to share that our review paper titled "To Transformers and Beyond: Large Language Models for the Genome" is now available as a preprint (https://t.co/U24TUSseNr)! Our review unveils a revolution in genomics analysis with Genome LLMs. 🧬

🔍 What's Inside:
✅ The power & challenges of transformers in genomics.

✅ Cutting-edge models like HeynaDNA and scGPT & their impact.

✅ Deep dives into Enformer, DNABERT, and other Genome LLMs.

🌍 Why it Matters:
1. GPT-4's influence reshapes AI in genomics.
Unmatched insights into transformers' role in genomics.

2. Critical analysis of new models, addressing interpretability, privacy, & computational needs.

3. Essential for computational biologists & computer scientists to navigate the future of genomic data analysis.

This is a work led by the amazing PhD student, Mica Consens, in the lab! Also, a huge collaborative work with lots of field leaders @fabian_theis @genophoria @MKarimzade @michaelwainberg and Alan Moses!

@UofT @VectorInst @UofTCompSci @UofT_LMP @UHN @pmcc_ai @UHNAIHUB

[BioDecoded @BioDecoded]

Measuring cell-to-cell expression variability in single-cell RNA-sequencing data: a comparative analysis and applications to B cell aging | Genome Biology
https://t.co/3NMG5yND8M

#Bioinformatics

[Angelos Georgakis @angelosgeo]

🚀Coming soon: All my most loved articles and guides on biotech leadership in a single book! 📕

Boy, have I written a lot this year! Endless hours of researching, writing, editing, re-editing…

And now, putting all these writings into a book hasn’t been easy either!

I wasn’t meaning to publish a book when writing all these threads here on X but I realised that they deserve their own place.

The most practical reason is that even if you wanted to scroll months back and read them all on my timeline, you couldn’t! Because the X servers will block you for too many requests! I tried. I couldn’t either!

I tried the Advanced Search feature but that also gives back limited results...

So, for me to get access to all my writings and write this book, I had to request an archive from X worth 200MB of data!

Although creating this book hasn't been easy, going back to all these writings, reading your comments, and seeing the love and support you've given to my work has been therapy for my soul.

This book happened so organically; I've been writing it with you, with your love and encouragement. Thank you. 🙏

It's almost here, stay tuned for the launch! 🚀📚

Loving you, Angelos.

[Ming "Tommy" Tang @tangming2005]

Ten quick tips for deep learning in biology https://t.co/uhKDdmj9mi

[Eterno.network @CloudGenomics]

@FAlnona Product for learning coming soon! If you want early access please DM me so I can give you access to our new platform

[Eterno.network @CloudGenomics]

Comment below if you want to learn #python and you're a beginner, Starting a Whatsapp group this week

[Eterno.network @CloudGenomics]

Amazing event in Abu Dhabi! @vita_dao @rejuveron_life @glycanage

[Eterno.network @CloudGenomics]

@EricVerdin The real question is in how much time.
As soon as we have an accurate measurement of our biological age it’s not a theoretical problem anymore, but an engineering challenge to keep the metrics down.

real understanding of metabolism will open a lot of doors.

[Bryan Johnson @bryan_johnson]

This endeavor is not about anti-aging; it’s surviving ourselves to experience the most extraordinary existence in the galaxy.

Longevity is the practical and functional programming language to bridge here and now to that which is unreachable by imagination.

[Eterno.network @CloudGenomics]

Starting MSc in Bioinformatics today. Super excited!

[Bryan Johnson @bryan_johnson]

If you want to build a ship, don’t drum up the men to gather wood, divide the work and give orders. Instead, teach them to yearn for the vast and endless sea.
—Antoine de Saint-Exupéry

#dontdie

[Eterno.network @CloudGenomics]

What are the best companies using ai on drug discovery?

[Eterno.network @CloudGenomics]

What are the most interesting research you have ever done?

[Eterno.network @CloudGenomics]

Focusing on bioinformatics for biology of aging. Someone to talk?