Matouš Elphick

RESEARCH 5y follow up from the phase 3 KEYNOTE426 trial show that pembrolizumab + axitinib vs sunitinib as 1st line #therapy shows overall & progression free survival benefits in patients with advanced clear cell renal cell carcinoma. #cancerresearch #clinicaltrials nature.com/articles/s4159…

Eagles!!!!! ❤️💙

🎙️ImmunoBuddies Podcast – Manifest - the final part! Endless Potential, The Future of Predictive Biomarkers for Treatment Response and Toxicity with Dr.@ZaydTippu from @TheCrick. Join us as Dr. Zayd Tippu explores the limitless potential of predictive biomarkers—what's next, what's needed, and what could change everything in immunotherapy. 📍Available now on Spotify, Apple Podcasts & everywhere you listen. 🔗buzzsprout.com/2128662/episod… @AOlssonBrown @RickyFrazer1 @IOClinicalNet @UKONSmember @UKAOSociety @OncologyNT @OncEd @myESMO @OncoAlert @BOPACommittee @royalmarsdenNHS @VelindreCS @MANIFEST_CIRRP #ImmunoBuddies #PodcastEpisode #Immunotherapy #PrecisionMedicine #Biomarkers #CrickInstitute #ZaydTippu #OncologyResearch #MedicalInnovation #ManifestTheFuture

This Month, I'm doing 100 Push-ups a day to raise money for @CR_UK. Now more than ever, we need to fund the research that saves lives. Every rep and every donation counts! fundraise.cancerresearchuk.org/page/matouss-g…

Yale and Google trained a 27B parameter model, C2S-Scale, to unify single-cell transcriptomics and biological language for deep reasoning across genes and cells. It outperforms prior models in interpretation, QA, and perturbation prediction using reinforcement learning

The story behind Crystal Palace’s cup final tifo has hit me so deep. A terribly sad story. What a day for his sons and family. So glad they won it. ❤️

My favourite clip of the season WOW 🥲 Look at the PURE emotion in that Crystal Palace end 🔴🔵 So much more than just a game of football!! 🦅

What a group 🥰 #CPFC

How does tumour heterogeneity arise? How can we predict cancer cell plasticity? In 2 studies, we trace #glioblastoma heterogeneity to a spatial cancer cell trajectory w. atlassing bit.ly/4mkrWgs & predict plasticity w. snRNA/ATAC+deep learning bit.ly/3FbI6Ic 🧵

In Focus: MANIFEST: Multiomic Platform for Cancer #Immunotherapy brnw.ch/21wSFZq By @DrJonLim, @ZaydTippu, @TurajlicLab, and colleagues on behalf of the MANIFEST consortium at @MANIFEST_CIRRP, @OfficialUoM, @TheChristieNHS, @TheCrick, @royalmarsdenNHS

🚀 Thrilled to share our new paper on forecasting #IPF progression via follow-up CT generation! 🫁🖼️ We propose a lung structure & function–guided residual #diffusionmodels 🤖✨—with 2.5D #synthesis, structural attention, and #CLIP-based guidance! 📊🧬 📄lnkd.in/ek_Cx42t

📢 🧬 New preprint! Can we predict which cancer patients will benefit, before treatment begins? @WanXiang_Shen Immunotherapy saves lives but many patients don’t respond to treatment, and we still lack reliable tools to predict who will benefit We introduce COMPASS, foundation AI model for immunotherapy response prediction across cancers and treatments medrxiv.org/content/10.110… immuno-compass.com github.com/mims-harvard/C… @HarvardDBMI @harvardmed @KempnerInst @harvard_data @broadinstitute @Harvard Thanks to incredible team @WanXiang_Shen Thinh H. Nguyen @_michellemli @YepHuang @IntaeMoon Nitya Nair Daniel Marbach 🧵👇

TranscriptFormer is a new AI model trained on millions of cells from 12 different species, spanning 1.5 billion years of evolution. It is a concise, interactive representation of this massive amount of data. Preprint: bit.ly/3YnxzjB Model: bit.ly/42AvbbS

Online Now: TAMing immunity through an unexpected source dlvr.it/TKVRC4

Excited too see nuclei.io featured on the cover of @natBME! AI-clinician collaboration paper rdcu.be/dLgV1

Join Zoom Meeting crick.zoom.us/j/62801484364?…

🎉CrAIC Digital Pathology Journal Club - Thur 📜Talk: "Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology" 🎙️Speaker: Emely Roschbach 📆Date: 15:00 GMT 17/04 📄Paper: arxiv.org/abs/2411.01007 #DigitalPathology #AI

VP-CLEM-Kit: An accessible pipeline for visual proteomics using super resolution volume correlative light and electron microscopy ... biorxiv.org/content/10.110… #biorxiv_cellbio

Online Now: AI-driven biomarkers for antibody-drug conjugates dlvr.it/TK57Zg

🚀Exciting new review exploring the intersection of #mechanobiology & #AI! From predicting cell forces to analyzing complex genomic data, AI is unlocking new insights into how cells respond to mechanical cues. nature.com/articles/s4434…