Latest news feature in @NatureBiotech on recent developments in spatial biology to unravel disease mechanisms, with insights from experts in field @aruthak@NeBanovich@AI4Pathology@PDulaiMD Jasmine Plummer, Amanda Orr etc https://t.co/ORxV2AYZ07
The 9p21 risk locus — the first and most impactful CAD genetic risk factor in humans — drives VSMCs to adopt an osteochondrogenic state, promoting calcification @clintomics@valelosardo
https://t.co/CbZnzspnPh
Thrilled to share the🥇paper from the lab @atvbahajournals. Here we continue to unravel the mysteries of the 9p21.3 CAD locus showing it drives VSMC transition into an osteochondrogenic state, promoting calcification. @clintomics@UWMadisonCRB https://t.co/cmQLI8qLWO
🚀 Thrilled to announce our latest #preprint on intraplaque haemorrhage (IPH) quantification and molecular 🧬characterisation of carotid plaques using deep learning. A thread 🧵👇🏽
Trump's slashing of NIH indirects blocked for now in 22 states but not VA. Will the "peoples protector" Attorney General @JasonMiyaresVA stand up for Virginia researchers and doctors and their work to cure cancer, heart disease, diabetes, and more?
Huge congrats to PhD student @John_S_IV for successfully defending his thesis today! Thanks to the committee and everyone for their support. @shefflab@uva_bims@MedicineUVA
New model for multimodal spatial omics analysis, MISO, performs feature extraction, clustering and handles large-scale omics data. Includes extensive benchmarking and application to various cancer types. @DrMingyaoLi @naturemethods https://t.co/Zpf9eweymW
New expression foundation model, GET, predicts gene expression in unseen cell types and context specific TF interaction networks - pretrained on chromatin accessibility data from 213 human adult and fetal cell types. @nature@ericxing@RabadanColumbia https://t.co/d0libvGubp
New generative model, IMPA, predicts cell morphology responses to genetic and drug perturbations, enhancing phenotypic screening and drug discovery. Corrects batch effects and models unseen perturbations. @NatureComms@mo_lotfollahi@fabian_theis
https://t.co/qRAyIMugX7
New single-cell analysis framework, LEMUR, disentangles covariates and latent cell states from multi-condition data to predict counterfactual gene expression and identify cell neighborhoods with similar DEGs without clustering. https://t.co/Dktxxek5C7 @NatureGenet @wolfgangkhuber
Very grateful and humbled to receive promotion to tenure @MedicineUVA!
Huge thanks to my supportive mentors, colleagues, family, and talented trainees who continue to inspire me along this journey.
Here’s to the work ahead!