Ismael Rodríguez

PhD Candidate @ Jagiellonian University
Life Sciences Innovation Lead @ Appsilon

[Appsilon @appsilon]

Use the ROI Calculator to check the potential impact of #CrystalClearVision. Enter conditions tested, crystal growth probability, and monthly attempts to estimate your return on investment in terms of both time and money.
➡️ https://t.co/Up9OGAwRhU

#CCV #machinelearing #ROI

[Appsilon @appsilon]

On-site at #PharmaSUG 2024! Excited to explore, learn, and present our talk on "Experimenting with Containers and webR for Submissions to FDA in the Pilot 4" today.

For more information about the conference, visit: https://t.co/stpMz3Hvu6

#PharmaSUG2024 #FDAsubmissions

[Ismael Rodríguez @Armosid]

😎 I'll be giving a talk at the 2nd International Conference on Cancer and Oncology Research about our findings from a recent publication.

Let me know if you will be attending so we can meet there!

[Ismael Rodríguez @Armosid]

How to spot protein crystals using computer vision?
Here is a talk about this interesting project.

Protein crystallization is still a bottleneck in drug discovery.

#structuralbiology #proteincrystal #proteins #3dstructure #drugdiscovery #AI

[Appsilon @appsilon]

Discover the world of #machinelearning in protein crystal identification! Catch an insightful presentation from the Data Science Summit highlighting its impact on #drugdiscovery 💊
The full video is available here: https://t.co/KiANPdNVnf

[Akshay 🚀 @akshay_pachaar]

I recently landed my job as an AI Engineer!

Here's a roadmap for those starting today:

[The Culturist @the_culturist_]

What are some perfectly preserved medieval towns that are like stepping back in time? Here are a few... 🧵

[Ismael Rodríguez @Armosid]

Day 3 at #PHUSE US Connect 2024🚀 If you're here and haven't connected with our experts or explored booth 17, there's still time!

Check how #RShiny and #AI are shaping the future of #submissions to FDA 👋

[Appsilon @appsilon]

🔎 Regulatory agencies focus on accurate, reliable, and compliant data, not particular software. Discover how R, an open-source language, gains traction in #lifesciences. Explore key #Rpackages and their applications in clinical trials.

https://t.co/0oq3kVo4Tq

[Appsilon @appsilon]

Tap into the future of FDA submissions with our latest article on #pharmaverse. We're diving into transformative technology like containers and WebAssembly, reshaping regulatory processes.
Read more - https://t.co/sDkStAAOm4 🚀

[Ismael Rodríguez @Armosid]

Join us at the US Connect 2024 in Bethesda, Maryland, 25–28 February.

Step by booth 17 and let's explore what R/Shiny and Machine Learning can do to accelerate discoveries in life sciences.

Download our exclusive ebook.  https://t.co/ucXYJVZdcl

[Ismael Rodríguez @Armosid]

Exploring new technologies for FDA submissions: webR and containers.

[Appsilon @appsilon]

Tap into the future of FDA submissions with our latest article on #pharmaverse. We're diving into transformative technology like containers and WebAssembly, reshaping regulatory processes.
Read more - https://t.co/sDkStAAOm4 🚀

[Ismael Rodríguez @Armosid]

View my recorded session discussing the comparison of copy number variations and gene expression analysis through a Shiny app.

[Appsilon @appsilon]

Dive into genomics with DepMap! 🧬
Explore dynamic visualizations and interactive features, uncovering copy number variations and #gene activation dynamics. Discover the impact of key genes like BRAF and MRAS on cancer. Watch the full video: https://t.co/agzBmMUT51

#rshiny #app

[Rosana Ferrero 📈📊🙌 @RosanaFerrero]

📊 #Dataviz con #RStats para investigadores que no utilizan R
🙌 Aprovecha todo el potencial de R para crear gráficos atractivos, reproducibles y transparentes
PDF: https://t.co/MQOGLchdhB
Tutorial: https://t.co/aUISLj62Lz
by @emilynordmann
#stats #datascience #datavisualization

[Ismael Rodríguez @Armosid]

@appsilon It's fascinating to observe the growing adoption of a new programming language for submissions. 🚀

[Appsilon @appsilon]

R-Based Submission to FDA: Novo Nordisk set a regulatory milestone with the first-ever #FDA submission using R. It covers SDTM, ADaM datasets, programs, analyses and more – all crafted using #R. Dive into our blog post for insights and #businessimpact 🚀

https://t.co/TFm06m15Pn

[Luke Rudkowski @Lukewearechange]

This clip is absolutely terrifying to me

[Sam Altman @sama]

i’d bet even more true today!

[Appsilon @appsilon]

Ever faced slowdowns in your data science workflow with large datasets? 🐌
Managing a data science team in R with dplyr can be smooth until a massive dataset hits. Boost your processing speed by 2, 5, 10, or even 20 times with simple code changes ⬇
https://t.co/ZdYWovhtZA

[ShinyConf @ShinyConf]

Ready for a scientific adventure? Let's unlock the potential of R Shiny in #lifesciences 🧬

Eric Nantz leads the Shiny in Life Sciences track. Discover the various applications of #RShiny in tackling challenges and gaining insights 🌟
More details here: https://t.co/Si9XPPCgsr

[Ismael Rodríguez @Armosid]

💡The adoption of R by pharmaceutical companies seeking to modernize their submission processes to regulatory bodies is gaining traction.

[Appsilon @appsilon]

Curious about the impact of statistical analysis on drug development and patient outcomes? Dive into the #SAS vs. #R debate with our article! 🚀

Explore the strengths and weaknesses of SAS and R 💡
#lifesciences #pharmaceutical

https://t.co/q4j9z9gZ0U