Khalid Ibrahim
@K_A__Ibrahim
PhD student in LBEN @LabRadenovic and LMNN @LashuelLab @EPFL_en, developing artificially-intelligent microscopy to study neurodegeneration.
🔬🧠 Researchers from our school have developed a ‘self-driving’ microscope that can predict the onset of misfolded protein aggregation, a hallmark of neurodegenerative disease, as well as analyze the biomechanical properties of these aggregates. go.epfl.ch/eST-en
Can AI-powered microscopes detect protein aggregation before it’s even visible? Turns out, they can! Check out our paper: "Self-Driving Microscopy Detects the Onset of Protein Aggregation and Enables Intelligent Brillouin Imaging" nature.com/articles/s4146…
It was a pleasure to give a talk at the CBIAS 2024. Wonderful event that was full of interesting science. Looking forward to the next one!
More from EPFL by Khalid Ibrahim speaking about intelligent microscopy of protein aggregation. Protein aggregation is a stochastic and fast event, so a real-time feedback loop is required to optimise computation, reduce imaging time, and only collect analysable images #CBIAS2024
Happy to announce that I was awarded an Ambizione grant @snsf_ch ! I'll start a 'nano' group in Institute of Bioengineering-@EPFL_BioE at @EPFL_en. Funds include a PhD position! Many thanks to the @LabRadenovic, @EPFL_ReO as well as many mentors and friends for all the support🙏!
An extensive review by @LabRadenovic and @Wayne_YangWW on the different categories of label-free tools to study #biomolecularcondensates, emerging technologies, and their application in diagnostics and therapeutics. Read the full text here 👉 go.acs.org/8YJ
What does one do when entering a new field? Survey the tools available 🔨🔬🔭!! Our review on Label-free techniques to probe biomolecular condensate is now online at @acsnano. Produced together with the fun team of PhDs and experts at @LabRadenovic ! pubs.acs.org/doi/10.1021/ac…
Happy to have been invited to contribute a 'Tools of the Trade' article at @NatRevMCB, which is titled 'AI-driven detection and analysis of label-free protein aggregates'. You can find the article here: nature.com/articles/s4158…
Now Online AI-driven detection and analysis of label-free protein aggregates dlvr.it/T2VJs0
AI-driven, label-free method for studying protein aggregates, offering new perspectives in neurodegenerative disease research. Report on Swiss television with @LabRadenovic. (in French) rts.ch/play/tv/-/vide…
EPFL researchers develop an AI-driven, label-free method for studying protein aggregates, offering new perspectives in neurodegenerative disease research. @epflsv @epflengineering go.epfl.ch/637af8
Our paper on label-free identification of protein aggregates using deep learning, where we achieve 96% accuracy, is out now @NatureComms and is featured on the EPFL front page. actu.epfl.ch/news/ai-unlock… @epflSV @EPFL_Imaging @EPFL_en @LashuelLab @LabRadenovic @Hlashuel
I'm delighted and honored to have won the Best Poster Award at this year's special edition of the EDPO Photonics Day. I would like to express my gratitude to my advisors, @LabRadenovic and @Hlashuel, for their continuous support and guidance, and to my colleagues @ LBEN and LMNN.
