L’intelligence artificielle au service de la médecine : prédire les protéines amyloïdes
L’intelligence artificielle (IA) s’impose aujourd’hui comme une technologie clé dans de nombreux domaines.
New paper from our PhD student Valentin Gonay on predicting which proteins form amyloids! Valentin's work paves the way for earlier and more reliable diagnoses of amyloid-related neurodegenerative diseases such as Alzheimers and Parkinsons! bit.ly/42BZD5V
Read the paper here: bit.ly/cross-beta-db
17.01.2025 18:50 — 👍 2 🔁 1 💬 1 📌 0
Who's going to be at NeurIPS this year? We'll be there all week and presenting some of our work on assessing protein-peptide interactions at the MLSB workshop. Come say hi if you're around!
Paper: www.biorxiv.org/content/10.1...
19.11.2024 09:23 — 👍 5 🔁 3 💬 0 📌 1
Researcher at Google DeepMind. Previously Arnold group at Caltech. Making useful molecules!
CS PhD student @Brown | Biomedical AI | IR | NLP.
Bio: https://tassabdul.github.io/
Assistant Prof of Statistics at Rutgers
Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania.
https://www.gemma-moran.com
Aussie 🦘| NYC-based 🗽
PhD student at UMD @piercelab
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
Senior Researcher at @LUMC_Leiden I @RENEW_Global | Genome Editing | Biochemistry | CRISPR-Cas
Ph.D. Student @ ELLIS Unit / University Linz Institute for Machine Learning
Biologist, technologist, husband, dad | 🧬🔬🐟| In situ spatial omics←super-resolution microscopy←single molecule biophysics | Staff Scientist @10x Genomics | prev. Wyss Institute @Harvard / Sysbio @HMS / Univ Tokyo | Views are my own
Postdoc @data science and AI division
#compchem/Molecular Dynamics/Protein Simulation #GROMACS #AI4science
#chemsky #compchemsky
Head of mRNA Platform Design Data Science @Sanofi. R&D in mRNA therapeutics using ML/DL. Formerly @ UTAustin, MIT, MSFTResearch, UW, & Calico. Latest work: gScholar (https://tinyurl.com/3xdfksy6)
Head of AI @ Graph Tx, Computational physicist turned biologist, interested in deep learning and single-cell technologies 🧬 👩💻 views are my own
AI/ML for early drug target discovery and precision medicine, with a focus on (epi-)genetics. Lead Scientist at Novo Nordisk, London.
Presidential Young Professor @ National University of Singapore. Stanford PhD, ex-Baidu Research Lead. Functional Genomics, Data Science, AI/ML. www.boxiangliulab.com
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
Science, music, photography, computers, VR and more...
Interested in biomolecular simulation, modelling, protein structure, drug design and AI.
Senior lecturer in Computational Biophysics @ University of Edinburgh molecular simulations, machine learning and baking enthusiasts. Occasional mathematics outreach
Core Investigator @ Arc Institute | Associate Professor @ UCSF | {Computational, Systems, Cancer, RNA} biologist | Co-founder @exaibio @vevo_ai
Assistant Professor at UC Berkeley and UCSF.
Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
