Clint Miller

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 nature.com/articles/s4158…

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 ahajrnls.org/3E59c3h

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 ahajournals.org/doi/10.1161/AT…

🚀 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?

@C_Glastonbury @jkpritch Are @biorxivpreprint links still broken?

Another amazing looking paper from the @jkpritch lab!

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 nature.com/articles/s4159…

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 nature.com/articles/s4158…

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 doi.org/10.1038/s41467…

R package: bioconductor.org/packages/lemur Code: github.com/const-ae/lemur… Python implementation: github.com/const-ae/pylem…

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. doi.org/10.1038/s41588… @NatureGenet @wolfgangkhuber

Delineating the effective use of self-supervised learning in single-cell genomics ⁦@NatMachIntell⁩ ⁦@fabian_theis⁩ nature.com/articles/s4225…

@Linda_Kachuri @MedicineUVA Thanks Linda!

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!

@Art_Yurdagul @MedicineUVA Thanks Art!

@clintomics @MedicineUVA Well-deserved Clint, congrats on all your success!!!

@kat_howe @MedicineUVA Thank you for the kind words Kathryn!! Very fortunate to work with you and your impressive team!

@clintomics @MedicineUVA Stellar! @clintomics you are a PHENOM! Always amazed at your ideas, how you translate them, and the humility with which you share. Congrats Clint. Truly happy for you. Celebrate the moment!!!

@rcwirka @MedicineUVA Thanks Rob!

@clintomics @MedicineUVA Congrats Clint!! Well deserved!

@HaoYin20 @MedicineUVA Thanks Hao!

@clintomics @MedicineUVA Congratulations!🎉🥳

@Jie_Immunology @MedicineUVA Thanks Jie!

@clintomics @MedicineUVA Congrats 🎉🎉🎉

@AnjaTrillhaase @MedicineUVA Thanks Anja!