📢 Just published a breakthrough paper in Nature! 🧪 Our study revealed intriguing insights into IBD, unraveling complexity and patient-to-patient heterogeneity. Kudos to Alba Garrido and our IBD research team! #IBD #NaturePublication 📚🔬 nature.com/articles/s4146…

Molecular biologists learning bioinformatics skills and coding need to practice regularly to keep their valuable skills doi.org/10.1515/jib-20… #LifeLongLearning #Bioinformatics #R #Python #coding #teaching #SciComm #OpenAccess #OpenScience #OpenData #AcademicChatter

Glastonbury group 🔬🧬 This is us 🫶🏼

Automated workflow for the cell cycle analysis of non-adherent and adherent cells using a machine learning approach biorxiv.org/cgi/content/sh… #biorxiv_cellbio

Thrilled to share our paper! 📑 By combining a specialized surface, FUCCI(CA)2 sensor, automated image processing, and machine learning to study the cell cycle in (non-)adherent cells. 🧬🔬 biorxiv.org/content/10.110…

Sometimes an image is really worth a thousand words Same sample, consecutive sections, VISIUM CytAssist vs Xenium Very nice Sergi Cervilla!

Come be my colleague at HT in Milan! We are hiring a Bioinformatician to work with me alongside the different lab groups at the Functional Genomics Centre careers.humantechnopole.it/o/bioinformati…

As my lab develops Seurat, I wanted to share some thoughts on the important Seurat and scanpy package selection preprint from Joseph Rich/Lior Pachter 🧵

An amazing talk by Sara Ometto at European Society of Human Genetics (ESHG) #ESHG2024 on our joint work on unsupervised phenotyping and genetic discovery in cardiac MRIs, performed in the lab of Craig Glastonbury at Human Technopole #proudmoment #reseach #MachineLearning #mri #cine #cvd #ukbiobank #genotypes

Come and join my group in Milan and work on exciting spatial transcriptomics, digital pathology and genetics projects! Reach out if you'd like more information :) careers.humantechnopole.it/o/postdoc-in-m…

If you're interested in spatial biology, digital pathology and machine learning, here's a postdoc in Milan, Italy for you! careers.humantechnopole.it/o/postdoc-in-m…

Postdoc position in my group closing in 6 days. Please apply! If you want to apply your ML/computer vision/computational skills to impactful biological/medical problems, helping us understand a range of diseases, please join us Human Technopole nature.com/naturecareers/…

In absolutely perfect timing for #ASHG24 I am so pleased to announce the labs second manuscript that was entirely conducted Human Technopole. Here we showcase the power of diffusion autoencoders for phenotyping time resolved cardiac MRIs in 70k subjects. medrxiv.org/cgi/content/sh…

Curious about how unsupervised learning can reveal phenotypic and genetic insights from MRI images? Don’t miss the chance to check out Sara Ometto ‘s incredible poster, showcasing pioneering work done alongside Soumick in the Craig Glastonbury group! glastonburygroup.github.io/CardiacDiffAE_….

At #ASHG and interested in deep learning for disease prediction? Come visit Francesco Cisternino ‘s poster: imaging + transcriptomics to understand how carotid plaque morphology affects patients symptoms and MACE risk (board 4081T) #ASHG2024

Emanuel Soda is presenting his project aimed at understating the morphological and transcriptional variability of colon crypts in inflammatory bowel disease. Poster board 5024! #ASHG2024

What a great group!!

We are looking for a passionate computational postdoc to join our lab Human Technopole in Milan! 🇮🇹🧬 Project funded by Fondazione AIRC per la ricerca sul cancro to model the dynamics of cell therapies in blood cancers using single-cell multiomics 🔬 4-year contract careers.humantechnopole.it/o/postdoc-in-c…

humantechnopole.it/en/news/frrb-f…

🎉 Congratulations to our Craig Glastonbury Group on receiving a grant from FRRB to study the immune landscape of pancreatic #cancer. 🧬 The project will use AI & single-cell tech to improve immunotherapy in #PDAC humantechnopole.it/en/news/frrb-f…