Alberto Paccanaro

Machine Learning for Biology, Medicine and Pharmacology

[Alberto Paccanaro @A_Paccanaro]

Read my latest #research on #MachineLearning and #NetworkMedicine for #DrugRepurposing for #COVID19 just published in @Patterns_CP with my postdocs Suzana Santos, @torresmateo, @diegogaleano05, and @Mel_Twii and Luca Cernuzzi

Huge thanks to @Covirt19

https://t.co/LV2QwT3A0S

[Liner @search_liner]

Liner is partnering with @spoticlr at #ICLR2026 — supporting Best Paper and Travel Awards for LLM research.

And to celebrate, we're giving away:
✈️ Round-trip flights + hotel to #ICML2026 in Seoul
🎁 $300 Liner Credits

Follow @search_liner + repost to enter by 4/27.

Liner is built for research workflows. Find papers, verify sources, and write with citations in one place.

See you in 🇧🇷 and 🇰🇷!

@iclr_conf @icmlconf

[Mateo Torres @torresmateo]

I'm excited to share "LanDis: The Disease Landscape explorer", just published in @ejhg_journal together with Horacio Caniza, Juan J. Cáceres and @A_Paccanaro. https://t.co/KmNyuarKN4

[Gerstein Lab | Yale @GersteinLab]

Delighted to announce our latest work, "The Control and Privacy of Your Most Intimate Information: Navigating the Battle for Your Brain" with @dovgreenbaum & @MarkGerstein in AJOB Neuroscience. Know more at https://t.co/ejk5ztoUYR #neuroethics #privacy

[Geoffrey Hinton @geoffreyhinton]

The University of Toronto made a video for a non technical audience in which I explain how deep learning works, the enormous promise of this technology and some of the potential risks. https://t.co/d0Izl3RYbS

[Josh McDermott @JoshHMcDermott]

New preprint from our lab, by a great trio of computational and cognitive neuroscientists! It was a great pleasure to work with them on this paper.

[Alberto Paccanaro @A_Paccanaro]

Exciting opportunity in Rio de Janeiro! Faculty positions in Data Science @fgv_emap
No previous knowledge of Portuguese required, excellent salary and great starting package (machines, postdocs fellowships, PhD studentships)
https://t.co/QcgY3RTjjI

[Diego Galeano @diegogaleano05]

Honored to have @CellRepMethods choosing our article with @A_Paccanaro as part of the best of 2022 collection https://t.co/mMbtd7hN5q 😍🙏

[Alberto Paccanaro @A_Paccanaro]

@AfshinBeheshti Congratulations Afshin!

[Alberto Paccanaro @A_Paccanaro]

* A matrix decomposition model for repurposing broad-spectrum antivirals

* A graph kernel approach to model perturbations induced by drugs on the interactome

* CoREx: a free online tool to formulate hypothesis for drug repurposing for COVID-19 https://t.co/OVaxbrUHW4

Enjoy!😀

[Alberto Paccanaro @A_Paccanaro]

Read my latest #research on #MachineLearning and #NetworkMedicine for #DrugRepurposing for #COVID19 just published in @Patterns_CP with my postdocs Suzana Santos, @torresmateo, @diegogaleano05, and @Mel_Twii and Luca Cernuzzi

Huge thanks to @Covirt19

https://t.co/LV2QwT3A0S

[Alberto Paccanaro @A_Paccanaro]

@mmbronstein @RAEngNews Congratulations Michael!!! Amazing achievement!

[Alberto Paccanaro @A_Paccanaro]

@ZoubinGhahrama1 @GoogleAI Fantastic news!!! Congratulations Zoubin!

[Alberto Paccanaro @A_Paccanaro]

It is the first method that predicts how often the side effect of a medical drug will appear in the population.

And its predictions are interpretable !

Enjoy 😀

[Alberto Paccanaro @A_Paccanaro]

Read my latest #research on #MachineLearning applied to #DrugSideEffectsPrediction, published with @SpringerNature in @NatureComms together with my brilliant PhD student @diegogaleano05 and
@shantaolee and @MarkGerstein
https://t.co/vZPYngMxHw

[Mengting Gu @Mengting_Gu]

I want to thank my dedicated advisor @MarkGerstein for his guidance throughout this work, my co-authors, @bornalibran, and many other ENCODE members. Special acknowledgement to @A_Paccanaro, @diegogaleano05, @torresmateo and @yanh_wu for their inspiring discussions and support!

[Alberto Paccanaro @A_Paccanaro]

@Mengting_Gu @MarkGerstein @bornalibran @diegogaleano05 @torresmateo @yanh_wu Congratulations Mengting! Well done!