Matouš Elphick

PhD Student at @TheCrick, @imperialcollege, @ICR_London | Image analysis and computational biology for cancer

[Nature Medicine @NatureMedicine]

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

https://t.co/wJMjDUXKW3

[Matouš Elphick @matous_elphick]

Eagles!!!!! ❤️💙

[Crystal Palace F.C. @CPFC]

CRYSTAL PALACE ARE THE 2025 COMMUNITY SHIELD WINNERS ❤️💙

[The Immunobuddies Podcast @immunobuddies]

🎙️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.

🔗https://t.co/nhfVzWtC2R

@AOlssonBrown @RickyFrazer1 @IOClinicalNet
@UKONSmember @UKAOSociety @OncologyNT
@OncEd @myESMO @OncoAlert @BOPACommittee @royalmarsdenNHS @VelindreCS @MANIFEST_CIRRP

#ImmunoBuddies #PodcastEpisode #Immunotherapy #PrecisionMedicine #Biomarkers #CrickInstitute #ZaydTippu #OncologyResearch #MedicalInnovation #ManifestTheFuture

[Matouš Elphick @matous_elphick]

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!

https://t.co/ICLsIkmkzE

[Luke Yun @luke_yun1]

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

[FK @fkhanage]

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. ❤️

[The 44 ⚽️ @The_Forty_Four]

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!! 🦅

[Crystal Palace F.C. @CPFC]

What a group 🥰

#CPFC

[Omer Ali Bayraktar @bayraktar_lab]

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 https://t.co/OY9T4rHYrj & predict plasticity w. snRNA/ATAC+deep learning https://t.co/AwlOHu3cq6 🧵

[Cancer Discovery @CD_AACR]

In Focus: MANIFEST: Multiomic Platform for Cancer #Immunotherapy https://t.co/99Kdql3S1m
By @DrJonLim, @ZaydTippu, @TurajlicLab, and colleagues on behalf of the MANIFEST consortium at @MANIFEST_CIRRP, @OfficialUoM, @TheChristieNHS, @TheCrick, @royalmarsdenNHS

[Guang Yang @gyangMedIA]

🚀 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! 📊🧬

📄https://t.co/1lceO4nTiv

[Marinka Zitnik @marinkazitnik]

📢 🧬 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

https://t.co/CniHfrrtCW
https://t.co/Ftty4ZfBYi
https://t.co/vFHtRYUJuh

@HarvardDBMI @harvardmed @KempnerInst @harvard_data @broadinstitute @Harvard

Thanks to incredible team @WanXiang_Shen Thinh H. Nguyen @_michellemli @YepHuang @IntaeMoon Nitya Nair Daniel Marbach

🧵👇

[biohub @biohub]

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: https://t.co/X9dLDejVLL
Model: https://t.co/tCJmPUbBY8

[Cancer Cell @Cancer_Cell]

Online Now: TAMing immunity through an unexpected source https://t.co/uUSdFGChT7

[James Zou @james_y_zou]

Excited too see https://t.co/5exp1vjfGS featured on the cover of @natBME! AI-clinician collaboration paper https://t.co/6lvJ0YJ8gT

[Matouš Elphick @matous_elphick]

Join Zoom Meeting
https://t.co/ZxS59GVIZ8

[Matouš Elphick @matous_elphick]

🎉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: https://t.co/twaD9xowqV
#DigitalPathology #AI

[bioRxiv Cell Biology @biorxiv_cellbio]

VP-CLEM-Kit: An accessible pipeline for visual proteomics using super resolution volume correlative light and electron microscopy ... https://t.co/OxbydQPeZk #biorxiv_cellbio

[Cancer Cell @Cancer_Cell]

Online Now: AI-driven biomarkers for antibody-drug conjugates https://t.co/koUrMmNLDX

[Kashish Jain @kashish195]

🚀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.
https://t.co/MlgGCRe7AZ