UKRI Centre for Doctoral Training in Biomedical AI

Training next generation of innovators at the interface of AI, biomedicine and social science @InfAtEd

[Rohan Gorantla (he/him) @gorantlarohan]

📢🧬Looking for fast and reliable ways to predict binding affinities? Meet BALM!👋

BALM predicts binding affinity from protein sequences and ligand SMILES using pretrained protein and ligand language models.

📄 https://t.co/t79Gdlq9Mx
🔗 https://t.co/hnsfgOvY3j

🧵1/9

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

Great opportunity for a Business Development Executive wishing to join @AI4BI_CDT and @EdinInnovations to work on ambitious projects at the interface of AI and biomedicine

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

Great opportunity to join @AI4BI_CDT and work with @tisimpson & @hhwu

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

As part of our Outreach Programme, Fiona Smith's amazing art installation at ARS Electronica Festival for Art, Technology and Society in Linz was, to quote a visitor, "a beautiful balance between the hard data and the softer human elements.."

[Pete Bankhead @petebankhead]

Let me introduce: InstanSeg 🦠🔬💻👩‍🔬

This *would* have been a short thread about Thibaut Goldsborough’s PhD work… but he solved too many problems.

Now it's a long thread about 2 preprints, a whole new approach to cell segmentation & #opensource software to make it easy to use

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

Congratulations Ben Philps on winning the MIUA 2024 Best Paper Award! Well done supervisors María del C. Valdés Hernández and Miguel Bernabeu and Antonio Vergari👏

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

@BioMedAi_CDT Getting started at the ceilidh in South Hall on Monday 21 May - great times!

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

Fantastic news for first year PhD student Aryo Pradipta Gema!

[Aryo Pradipta Gema @aryopg]

Fine-tune your LLM unless you have access to GPT-4!
In our SemEval 2024 @NLI4CT solution, we evaluated LLMs with ICL, CoT, and a novel PEFT method. And yet, GPT-4 produces surprisingly good results, ranking joint-first in the leaderboard!
👉 https://t.co/XC1iWBwU43
🧵 1/9

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

@aryopg @NLI4CT Congratulations to Aryo Pradipta Gema and Giwon Hong!

[Leonardo V. Castorina @DrLeucine]

I'm at @embl @EMBO #EESAIBio

Come and say hi :)

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

We're very much looking forward to hosting the 2024 Conference in AI for Healthcare (CAI4H) on 20 and 21 May in Edinburgh with partners @AI4HealthCentre, @cdt_ai_health -health, and @LeedsMedAI_CDT

[PioneerCampus @HelmholtzMunich @PioneerCampus]

🗓️#BioEng24 Conference May 6/7 #future #medicine 📪Abstract deadline - March 31st
📨REGISTER yourself by sending YOUR abstract
📪https://t.co/hLHW4I4rhH
-JOIN international speakers in #imaging #organoids #multiomics #stemcells #geneengineering #synthetic #biology #AI and more

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

Congratulations Rohan Gorantla on your recent publications. 👏👏👏

https://t.co/YzDJjgmhzQ

[Rohan Gorantla (he/him) @gorantlarohan]

🎉🚀 Excited to share that my internship work, "Benchmarking Active Learning Protocols for Ligand Binding Affinity Prediction," has been published in ACS @JCIM_JCTC!

🔗 https://t.co/QezFgYuQpd

Find 🧵 below for a quick overview.
@exscientiaAI

[UKRI Centre for Doctoral Training in Biomedical AI @BioMedAI_CDT]

Congratulations Rik Sarkar and Rayna Andreeva, whose paper “Machine learning and Topological data analysis identify unique features of human papillae in 3D scans” is being published. See the preprint here: https://t.co/PEReo2OMzV a University of Leeds collaboration.

[Filippo Corponi @filippocmc]

🧵1/5🚨Preprint alert🚨We @bryanlimy @DHidalgoMazzei @tetraduzione are happy to share our preprint on self-supervised learning for acute mood episode detection with wearable data: https://t.co/keAwK67yuc @BioMedAI_CDT @ancAtEd @InfAtEd

[Bryan M. Li @bryanlimy]

I will be giving a short talk on our spatiotemporal Transformer approach to the #NeurIPS2023 Sensorium challenge this Friday afternoon!