🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🚨 Exciting PhD opportunity alert! 🚨 The project will aim to make cutting edge retinal imaging technology more accessible to developing countries and remote areas. Apply by 10th Oct (kent.ac.uk/courses/postgr…)

My parents are finally able to visit from NZ for the first time since the pandemic.. and of course they get covid within days of entering the UK. Still stuck doing video calls but at least we're in the same time zone now??

Just looked back at my thesis for the first time since submitting and found 5 typos in one paragraph 😭

Our new preprint, & the 1st joint UCL Child Health Kidney Lab/Clatworthy Lab paper, is live! We used 3D imaging & scRNAseq to study human kidney #lymphatics in transplant rejection. Doing this during medical school has been wild, but so worth it 🥳 a brief 🧵👇 1/9 biorxiv.org/content/10.110…

What a bloody incredible concert from the BBC Philharmonic Orchestra last night! So proud of my husband Robert Laidlow @robertlaidlow.bsky.social for his premier of Silicon - this piece has been over 3 years in the making!

Yes please give my data! 🤖

It was wonderful presenting at #CBIAS2022 this afternoon, showing off tubenet for 3D vessel segmentation. I can't wait to speak more with the other attendees. Thank you to the organising team for having me!

It's hard not to get emotional after such a long and difficult journey (looking at you covid), but I'm pleased to say I can finally call myself Doctor Holroyd 👩🏻‍🎓🍾 I've got so much love and gratitude to all the people who helped me get to this stage ❤️

I'm excited to share our systematic review of quantitative approaches in 3D episcopic imaging. Check it out here: doi.org/10.3390/biomed… claire walsh @swalkersamuel

Great talk from @swalkersamuel at #EMIM2023 today. Modelling whole tumours to understand perfusion and drug delivery in 3D 🤖

Thanks #EMIM2023 for the opportunity to talk about my work on tUbenet - generalisable AI for 3D vessel segmentation 🤖🩸

Just asked ChatGPT to suggest some references for an abstract I'm writing and it's done a pretty good job! Notably the last suggestion seems to be wrong - I found the chapter and it didn't include a definition for 'data sparsity'

The preprint is out for my paper on tUbe net: a generalisable deep learning tool for 3D vessel segmentation. Check it out, and drop me a line if you want to access the model weights/training data! biorxiv.org/content/10.110…

Brilliant collaboration & innovation on show at the #BioHackathon - bringing much needed attention and urgency to finding new opportunites to better understand and treat #MECFS. Thank you UCL Careers for hosting us! #PrecisionMedicine ME Research UK Action for ME

It was brilliant to take part in this event last week. We were able to get hands on with GWAS data and explore how newly-identified genetic risk factors could advance our understanding of ME. Thanks UCL Careers PrecisionLife and ME Research UK for putting on this event! #MECFS

Our latest paper is out on understanding the importance of skeletonisation algorithms in extracting vascular architectures and predicting functional metrics in tissue imaging..... punch line - it's important! doi.org/10.1016/j.comp… [1/2]

Excellently reported piece by Shi En Kim, PhD on researchers living with #LongCovid and how they are coping with it in #academia. Four years on: the career costs for scientists battling long COVID nature.com/articles/d4158…

It was a pleasure to be interviewed for this piece by Shi En Kim, PhD on how long COVID is affecting academic careers. With 1.9 million people suffering from long COVID in the UK alone, its crucial we talk about this openly. nature.com/articles/d4158…

The new and improved model weights for our 3D vessel segmenting model, tUbenet, have now been published on figshare. Use this pre-trained model to label vasculature with little-to-no fine-tuning! Github repo: github.com/natalie11/tUbe… doi.org/10.5522/04/254…