Top Tweets for #COMPUTATIONAL
📢#Specialissue: #Cancer Therapeutics: #Drug Repurposing and #Computational Strategies
⏰Deadline: 31 March 2027
🎓Guest Editors: Dr. Minh Tuan Nguyen
📖Find out more at https://t.co/29cA93dqNe @MDPIBiologySubj
📣Call for Reading:
#EditorChoice #Review
Designing the Future of #Biosensing: Advances in #Aptamer Discovery, #Computational #Modeling, and #Diagnostic Applications
By Tanner, J. A. et al.
https://t.co/sQ9iuZQExA
#OpenAccess #SELEX #ArtificialIntelligence #POC
The first day of the @BehaveLab_unimi @LaStatale @unibs_official #BehaveSchool2026 summer school on #ABM agent-based #computational #simulation @netlogo is over!
AI can process data. But can it represent everyone?
Language carries meaning.Biology carries information about life.
@HiScript_ ,we’re exploring what happens when AI, computation and better representation come together.
Better data.Better context. Better AI.
@HiScript_ #fypシ゚
#AI how do we personalize #digitaltwin for future predictions in individuals? Great concepts on creating 1000s of #computational models @StanfordHAI @Steve_Niederer @sruiperez98
Perspectives on low-Reynolds-number aerodynamics: shape, motion and structure
📄Read the full paper in AMS: https://t.co/1AWmKWoNJ4
#Aeroacoustics #Body, Aerodynamics, Design #Computational Fluid Dynamics #Engineering Fluid Dynamics
repost @maybeimrong on IG
-
coding diary | work 01
made with p5.js.
#p5js #creativecoding #generativeartworks #computational #prototype
Part 4! 🎯 Amplitude & Bounds! 🏗️ Mapping vector lengths to Z-movement. 📐 We’re excluding start/end branches to keep the geometry edges perfectly straight and clean! ⚡️💻 #Rhino3D #Grasshopper #Computational #Design
Researchers have developed a new #computational #framework that helps scientists identify #genes that play central roles in diseases such as #asthma but are often overlooked by existing #genetic #analysis methods. https://t.co/GvFngP3sk8
Are you an expert in #computational #socialscience or #computerscience? Are you interested in #socialmedia, #recommendation #algorithms? 👇
Apply! Postdoc Centre of Excellence in Social Science, U of WAW, #ERC, Ddl Aug 15 https://t.co/2K8MoJ5dgs
Surprises due to new elastoplastic equations of Prandtl-Reuss type
📄Read the full paper in AMS: https://t.co/NkLLG81r4Z
#Computational Solid Mechanics #Elasticity #Mechanical Statics and Structures
#OET_highlight Instantaneous UAV tracking using single-photon LiDAR via photon-event-driven suppression of temporal-averaging bias https://t.co/Zah1lHIWQF Prof. Xin_Zhou @HIT_China #single_photon #LiDAR #3D #tracking #photon #computational #imaging
Impressive work from @mo_lotfollahi and colleagues introducing TERRA, a foundation model trained on 112M cells to learn the multiscale organization of #human tissues, from genes to cells to spatial niches. An exciting step toward #computational models that can not only map tissue #biology, but predict #perturbations and uncover disease mechanisms across organs. #SpatialTranscriptomics #AI4Science #SingleCell
Excited to share TERRA, a tissue world model 🧬
Over ~1.5 years we ran a large data-generation + modelling effort to build a world model for human tissues, pretrained on 112M cells from spatial transcriptomics (mostly Xenium 5000-plex + public data).
It's built on one of the largest human spatial transcriptomics corpora assembled to date, spanning 20 tissues across development, health and 26 disease conditions, ~two-thirds newly generated in-house.
Why a "world model" for tissue? Images have universal representations (ViT/DINOv3), so do proteins (ESM, @alexrives) and pathology (UNI, @AI4Pathology). We've worked hard to build something similar for human tissue: one model that captures its multi-scale logic, genes → cells → their native microenvironments.
Like the JEPA approach @ylecun has championed, TERRA learns by prediction in embedding space, but for human tissue. How it works: it tokenises each cell together with its nearest neighbours into one sequence while keeping every gene's identity, then masks part of a neighbourhood and predicts the representation of the hidden part, not raw noisy counts. From one backbone it reads out three scales, gene embeddings (what a gene is doing in a cell and its niche), cell embeddings (cell type and state) and neighbourhood embeddings (the niche), and because it keeps gene-level resolution it can knock a gene out in silico and predict the response. Applied entirely zero-shot, TERRA maps and perturbs human tissue across unseen organs, diseases and technologies, outperforming existing spatial approaches.
Three take-homes:
1️⃣ One model, any tissue. A single pretrained backbone provides tissue representations zero-shot, handling genes, cells and niches across organs and platforms, off the shelf.
2️⃣ New biology, development to clinic. We built a new spatial atlas of the developing human pancreas and found an islet-associated capillary state that looks like a precursor of mature islet vasculature. In kidney, TERRA's in silico knockouts predicted the tissue-injury programme from cancer immunotherapy (checkpoint blockade), confirmed in treated kidneys, detected in blood, and linked to declining kidney function.
3️⃣ A grammar of tissue architecture. By coupling each cell's state to its niche, TERRA defines recurring cross-organ "archetypes" of macrophage neighbourhoods, including a tumour-boundary niche that tracks poor survival in kidney cancer.
TERRA is already in use: it powered our recent skin atlas of hidden immune-memory niches (https://t.co/LeWxOKkgMt), with more studies coming soon.
This was an amazing collaboration between clinicians, machine-learning scientists and cell biologists 🙏 Led by @SebastianBirk_, @ValiSanian @AmirhVahidi, Samuel Ogden, @daniyal_jafree, @Adib_m_, @CarloLeonardi7 and Arpit Merchant, with Lassi Paavolainen, Menna Clatworthy, @bayraktar_lab, @Muzz_Haniffa, Tom Mitchell and @bakhti_mostafa. Huge thanks too to everyone who shared data and helped along the way.
What excites me most is seeing how the community builds on this. The model, code and tutorials are all public, so anyone can run TERRA on their own tissues, extend it, or build new models on top. Huge thanks to the whole team across @sangerinstitute and our many collaborators.
📄 Paper: https://t.co/AOOIcwuTnq
💻 Code: https://t.co/ZBwTmd6SNI
🤗 Model: https://t.co/gyQA79lVfW
#SpatialTranscriptomics #SpatialGenomics #FoundationModels #AI4Science #MachineLearning #ComputationalBiology #SingleCell #WorldModels
🔜 The next generation of scientists will meet in #Madrid!
We'll welcome bioinformatics researchers for the #INFOGUT Training School, an intensive hands-on course in #computational tools to analyse colon model data.
📣 Applications are open!
https://t.co/Wghb32fYzt
#COSTAction
My bet as a #computational PI (funded by @AIRC_it — thank you): the future of #medicine and #biology HAS to be largely computational.
Not a support tool bolted on the side. The engine.
Data complexity only goes up — so does the need for inference, not binary labels.
Machine learning based constitutive modelling on craze yielding in polymeric materials
📄Read the full paper in AMS: https://t.co/fdeFe266Nt
#Polymers #Finite element method #Computational Materials Science
Yield and buckling stress limits in topology optimization of multiscale structures
📄Read the full paper in AMS: https://t.co/U8IBvBdc3v
#Computational Design Of Materials #Structural Materials #Topology Optimization in Structural Design
📢#Specialissue: #Computational and #Experimental Strategies for #Antiparasitic #Drug #Discovery
⏰Deadline: 20 January 2027
🎓Guest Editors: Dr. Nieves Martinez-Peinado and Dr. Nieves Martinez-Peinado
📖Find out more at https://t.co/lU1XtW0CEW @MDPIBiologySubj
What's confusing about quantum physics?
Causality
The grand unifying meta science is the science of causes and effects and which ones "feel good vs not":
#uto #computational #ethics #physics #ethophysics
Imagine it's the ethical big bang on top (time goes down, lines moving left or right is actual movement in space):
Let's use the left graph (the black graph is just to look cool here):
So on top you have the big bang (orange points) and it self-replicates (think cell division), so we interpret them as more and more quantum & non-quantum walkers (think agents, players, choosers, form-changers, call them whatever you want ;-)
Black points are infinitesimal black holes where 2 things collided - it's when time ticks for them and they "experience" something
So here we see the red agent Alice going left, the blue agent Bob going right
Each next shade is some infinitesimal "experience" for them (so the form of the past they "feel" - here it's potentially some very short-wave color - e.g. gamma ray - but Alice and Bob currently have no brains to recall or write songs about them ;-)
But down below you see the last 2 pale reddish colors - it's when Alice and Bob finally met! ;-)
Let's hope they'll have babies in 14 billion years ;-)
@Grok
JASCO application using of VCD spectrometer.
Determination of Absolute Configuration of Molecules using VCD Spectrometer and DFT Calculations
#JASCO #日本分光 #Vibrational #CircularDichroism #chiral #DFT #Absolute #configuration, #VCD #Computational #chemistry #DFT
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