Cool Papers

Papers shared by the lab that are relevant to our group and the field.


Towards a decentralized future for open-science databases

2026-07-14 · shared by arendeiro · Nature Genetics

maybe relevant in light of SlideHub


TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

2026-07-13 · shared by SSchindler · arXiv

TLDR: Very similar to Samirs idea of generating simplified versions (sketches) of a tissue in the first pass. In the case they generated the cell positions in a slide using a diffusion model and regularized the training using a topology derived loss term. Caveat: This will not scale to whole slide i…


Staining normalization in histopathology: Method benchmarking using multicenter dataset

2026-07-10 · shared by Ernesto Abila · Scientific Reports


STAG: Biologically guided spatial transcriptomics prediction via hypergraph learning

2026-07-10 · shared by Clemens Kohl · Cell Press

hypergraph-based framework for spatial gene expression prediction from histology images. Works for 2D and pseudo-3D histology and incorporates structure/topology as well as long ranging relationships into the model.


Multimodal clocks of human aging

2026-07-10 · shared by arendeiro · Cell

looks like a great resource:


Modeling patient tissues at molecular resolution with Eva

2026-07-08 · shared by arendeiro · bioRxiv


An Integrated Skin Cell Atlas Decodes the Pilosebaceous Unit

2026-07-06 · shared by Ernesto Abila · Cell Press

Might be useful for the skin projects, ~820,000 cells from 34 public datasets together with visium HD data.


A deep learning framework for efficient pathology image analysis

2026-07-06 · shared by Yimin Zheng · Nature Communications

Select only useful patches for the model, significantly reducing computational workload.


Biological aging and generational shifts in early-onset cancer risk

2026-07-01 · shared by arendeiro · Nature Medicine

interesting case of age gaps across populations of different generations/decades


TopoMIL: Topology Improves Multiple Instance Learning in Diagnostic Microscopic Images

2026-06-30 · shared by SSchindler · bioRxiv

After embedding tiles into some latent space with a foundation model they not only use the embeddings for downstream classification but also different topological descriptors of the points in the embedding space. Improves downstream performance for every dataset tested. Abstract Microscopic images o…


Perceived age as clinically useful biomarker of ageing: cohort study

2026-06-29 · shared by arendeiro

an older study but one we should all be aware of


Disparate privacy risks from medical AI

2026-06-29 · shared by arendeiro · Nature



Meta-analysis of DNA methylation aging signatures in 17 human tissues

2026-06-29 · shared by Lisa Kleissl · Nature Aging



Aging disrupts spatiotemporal coordination in the cycling murine ovary

2026-06-22 · shared by Lisa Kleissl · Nature Aging

maybe helpful for Parijat. They use Slide-seq, a near-cellular spatial transcriptomics method, here we profile 22 mouse ovaries across the reproductive cycle and chronological ages, capturing 610,620 spots across 69 spatial profiles.


Single-cell spatial multi-omics molecular pathology enabled by SuperFocus

2026-06-19 · shared by arendeiro · bioRxiv

have a look at this paper, in particular on how they train a model across scales/resolutions reusing features


An open competition for biomarkers of aging

2026-06-19 · shared by arendeiro · Nature Aging


Towards autonomous medical artificial intelligence agents

2026-06-19 · shared by Andre Rendeiro · Nature



qdrant/qdrant at opensourceprojects.dev

2026-06-16 · shared by arendeiro

may be worth having a look


Cerebellar aging is spatially heterogeneous and supports cognitive resilience in later life

2026-06-16 · shared by arendeiro · Nature Neuroscience

very interesting work on brain MRI focused on the cerebelum. Related work: and


Plasma proteomic signatures of cellular aging predict human disease

2026-06-15 · shared by Lisa Kleissl · Nature Medicine

Last author is the speaker from last years Landsteiner lecture. They developed machine learning models to estimate the biological age of over 40 cell types from plasma proteomics.





Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement

2026-06-15 · shared by Andre Rendeiro · arXiv

maybe worth having a closer look


The Challenge of Cell Segmentation in Spatially Resolved Transcriptomics

2026-06-15 · shared by Andre Rendeiro · arXiv


The molecular asynchrony of single cells

2026-06-15 · shared by Lisa Kleissl · bioRxiv


General-purpose large language models outperform specialized clinical AI tools on medical benchmarks

2026-06-15 · shared by arendeiro · Nature Medicine

General-purpose large language models outperform specialized clinical AI tools on medical benchmarks


Back to basics: Observed statistics are sufficient to predict drug responses

2026-06-15 · shared by arendeiro · bioRxiv

worth looking into this very short paper. Understanding the data is so so more worth than brute force modeling. Also, if you don't know him yet, check out the first author's blog:


Spatial biomarker discovery via interpretable semantic learning in histopathology

2026-06-12 · shared by Ernesto Abila · Cancer Cell


Plasma signals of lung tumor promotion for molecular cancer prevention

2026-06-09 · shared by arendeiro · Cell

they identified a 14-protein plasma signature predicting lung cancer more than 5 years before diagnosis!


DaX: Learning General Pathology Representations Across Scales

2026-06-08 · shared by Ernesto Abila · arXiv

Alibaba joins the histopathology game with a multi scale DINOv3 framework with cross-scale self-supervision, trained on GTEx, TCGA and HistAi. Apparently, they outperform all the other current models.



The Human Pleiotropic Map of GWAS Associations and Therapeutic Implications

2026-06-03 · shared by Ariadna Villanueva Marijuan · bioRxiv

genome-wide target prioritization



Thousandfold Expansion Microscopy

2026-06-02 · shared by Ernesto Abila · bioRxiv

Slightly off topic, but maybe we can soon study sub cellular structures by eye or cheap microscopes?


Prioritizing perturbation-responsive gene patterns using interpretable deep learning

2026-06-02 · shared by Andre Rendeiro · Nature Communications

we should cite papers like this, maybe in light of spatial transcriptomics lacking scale


Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age

2026-06-02 · shared by Andre Rendeiro · Proceedings of the National Academy of Sciences



Pan-cancer spatial atlas of tertiary lymphoid structures

2026-05-29 · shared by Andre Rendeiro · Science


MORPHE: Bridging Image Generation and Spatial Omics for Tissue Synthesis

2026-05-28 · shared by Andre Rendeiro · bioRxiv


Universal transcriptomic hallmarks of mammalian ageing and mortality

2026-05-28 · shared by Ernesto Abila · Nature


Spatiotemporal transcriptome atlas of human embryos after gastrulation

2026-05-28 · shared by Yimin Zheng · Nature

Typically BGI work


TopoSlide: Topologically-Informed Histopathology Whole Slide Image Representation Learning

2026-05-27 · shared by Ernesto Abila · CVF Open Access

Might be useful for Simon & Shrestha



A deep-learning framework reveals whole-body perturbations at cell level

2026-05-20 · shared by Ernesto Abila · Nature


Systematic common and rare variant association testing in 392,030 whole genomes in All of Us

2026-05-19 · shared by Andre Rendeiro · medRxiv

potentially useful to cross-check on age/age-gap variants


Multiplexed magnetic resonance imaging

2026-05-19 · shared by Andre Rendeiro · Nature

the latest in cutting-edge MRI


Differential Analysis of Gene Spatial Organisation with Minkowski Functionals and Tensors

2026-05-19 · shared by Andre Rendeiro · bioRxiv

please have a close look


Integrated multi-omics identifies distinct macrophage alterations during progression of metabolic dysfunction-associated steatohepatitis

2026-05-19 · shared by Andre Rendeiro · Nature Genetics

seems like a cool and potentially useful dataset


A Perturb-seq screen guided by species divergence uncovers pathways for collateral artery formation

2026-05-19 · shared by Andre Rendeiro · bioRxiv

seems like a super cool approach, would love to hear your thoughts


Sleep chart of biological ageing clocks in middle and late life

2026-05-19 · shared by Andre Rendeiro · Nature

sleep clocks! Strange paper but interesting phenotypes and genetics @Ariadna Villanueva Marijuan


HESpotEx: a dual-stream deep learning framework for spot-level gene expression prediction from histological images

2026-05-19 · shared by Andre Rendeiro · Nature Computational Science

one more for the collection


Plasma proteomic signature of frailty in 50,506 adults - ScienceDirect

2026-05-18 · shared by Andre Rendeiro · Cell Press

Plasma proteomic signature of frailty in 50,506 adults


Hidden immune memory niches in inflammatory skin diseases

2026-05-13 · shared by Lisa Kleissl · bioRxiv

The study links histopathology and atlas-scale genomics to reveal novel insights into inflammatory disease pathogenesis, chronicity, and potentially curative therapeutic avenues, using skin as an exemplar tissue for this approach


sc-ChromAging: A Single-Cell Chromatin Accessibility-based Clock Decodes Cell-Type-Specific Epigenetic Aging Trajectories

2026-05-13 · shared by Lisa Kleissl · npj Aging

sc-ChromAging, a chromatin accessibility-based aging clock, was developed using single-cell ATACseq from 401 Chinese individuals.


Non-invasive profiling of the tumour microenvironment with spatial ecotypes

2026-05-13 · shared by Ernesto Abila · Nature

Quite interesting study where they find conserved spatial ecotypes (spatially dependent cell states and multicellular ecosystems) in spatial transcriptomics data, which are linked to immune therapy response. They can even recover the spatial ecotypes' methylation profiles from plasma cDNA.



IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseases

2026-05-11 · shared by Andre Rendeiro · bioRxiv

in case we didn't talk about it before - this is a great resource that may be of use to you. I know the last author so we could ask for data before it's accepted.


How to design effective scientific figures

2026-05-08 · shared by Yimin Zheng · Nature Human Behaviour

A nice little article on Nature human behavior discussing general ideas on how to design scientific figures.


OptimusKG: Unifying biomedical knowledge in a modern multimodal graph

2026-05-06 · shared by Andre Rendeiro · arXiv

finally an easy way to load the Zitnik lab Knowledge-graph! import optimuskg nodes, edges = optimuskg.load_graph(lcc=True)


Pleiotropy and disease interactors: the dual nature of genes linking ageing and ageing-related diseases

2026-05-06 · shared by Andre Rendeiro · Biogerontology

probably worth a look e.g.


Linking spatial biology and clinical histology via Haiku

2026-05-05 · shared by Ernesto Abila · arXiv

�A tri-modal contrastive learning model trained on multiplexed immunofluorescence (mIF), H&E and clinical metadata from 11 organs of 1,606 patients. Both code and model weights are available: Github: Model weights:


Pan-cancer virtual spatial transcriptomics from routine histology with Phoenix

2026-05-04 · shared by Andre Rendeiro · bioRxiv

spatial gene expression prediction from H&E via flow matching. Code available now: Weights not available yet. Full TCGA dataset with inference will be available.


AI framework for multidisease detection via retinal imaging

2026-05-04 · shared by Andre Rendeiro · Nature Medicine

the latest in ocular AI with implications for multi-organ health prediction - note this not OCT but color fundus photography - a much simpler, faster (30sec) and cheaper imaging method


Multimodal data analysis reveals asynchronous aging dynamics across female reproductive organs

2026-04-30 · shared by Andre Rendeiro · Nature Aging

the published version of - would be good to have a close look and see what resources we can use


An agentic framework for autonomous scientific discovery in cancer pathology

2026-04-30 · shared by Yimin Zheng · Nature Medicine


Discovery of candidate therapeutic targets with Geneformer

2026-04-28 · shared by Andre Rendeiro · Nature Protocols

when you have some time, could you have a look at this an understand the intuition for how do they discover targets? It might be something we want to benchmark against down the line.


VitaminP: cross-modal learning enables whole-cell segmentation from routine histology

2026-04-28 · shared by Ernesto Abila · arXiv

Nuclear and cell segmentation by using a cross-modal framework and transferring molecular boundary information from mIF and detect cytoplasmic contrast in H&E images. They also provide their models, the models seem to be straight forward to use:


A 3D morphogenetic blueprint for metastatic outgrowth in breast cancer

2026-04-27 · shared by Yimin Zheng · Cell

Basically, they found that the metastatic potential of breast cancer is highly correlated with the 3D architecture


Dynamics of genetic and somatic trade-offs in ageing and mortality

2026-04-24 · shared by Andre Rendeiro · Nature


Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations

2026-04-22 · shared by Ariadna Villanueva Marijuan · PLOS ONE

Here they describe a more or less similar approach to what I proposed when creating a PGS with a very small population. Three GRS were built following a weighted GRS (w-GRS) method as previously described [28] with 32 SNPs (SNP group#1) and 97 SNPs (SNP group#2) both from GWAS, and 19 SNPs (SNP grou…


A spatial atlas of the healthy human liver from live donors

2026-04-17 · shared by Andre Rendeiro · Nature


95% of Experimental Life-Science Papers in Three Months of Nature Used Hypothesis Testing Without Justifying Sample Sizes

2026-04-17 · shared by Andre Rendeiro

a so(m)ber assessment of statistical testing use in life sciences. To me the idea that life science research is largely designed to discover the hypothesis, not test pre-specified ones and its implications is the take-home message here.


Tissue morphology predicts telomere shortening in human tissues

2026-04-16 · shared by Yimin Zheng · Cell Reports Methods

Instead of predicting chronological age, they just predict telomere length, an interesting study.


Whole organism 3D mapping reveals universal branching topology and biophysical optimization governs vascular and nervous system development

2026-04-15 · shared by Ernesto Abila · bioRxiv

A new paper from the Wirtz lab where they developed a computational pipeline for whole-organism 3D imaging (z stacked H&E) to reconstruct the complete vascular and nervous systems of rhesus macaque, mouse, and turtle embryos. Data is apparently available upon request.


Perturbational phenotyping of human blood cells reveals genetically determined latent traits associated with subsets of common diseases

2026-04-15 · shared by Andre Rendeiro · Nature Genetics

not directly relevant, but just sharing this super impressive work using flow cytometry without any staining on perturbed PBMCs of 2600 donors


Understanding multicellular function and disease with human tissue-specific networks

2026-04-14 · shared by Andre Rendeiro · Nature Genetics

an older method which was added to HumanBase which has something that could be of interest to us, in particular Tamas and Ariadna: NetWAS - Network-wide Association Study — HumanBase 1.0 documentation "NetWAS trains a support vector machine classifier using nominally significant (P < 0.01) genes as …


annbatch unlocks terabyte-scale training of biological data in anndata

2026-04-13 · shared by Ernesto Abila · arXiv


PRET is a few-shot system for pan-cancer recognition without example training

2026-04-10 · shared by Yimin Zheng · Nature Cancer

A way to build clinical AI without training.


scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks

2026-04-08 · shared by Lisa Kleissl · npj Aging

Not really a paper rather a publicly available model for network-based single-cell aging clock model. Maybe interesting for someone. Lisa



Scaling and quantization of large-scale foundation model enables resource-efficient predictions in network biology

2026-04-03 · shared by Andre Rendeiro · Nature Computational Science

maybe you'll find this paper interesting


Odon: An ultra-fast viewer for spatial proteomics

2026-04-03 · shared by Andre Rendeiro · bioRxiv


rewrites.bio - A manifesto for bioinformatics

2026-04-03 · shared by Andre Rendeiro


tracel-ai/burn: a next generation tensor library and Deep Learning Framework

2026-04-02 · shared by Andre Rendeiro

the next big thing on model training and inference? for those interested in rust, there's also a nice image algorithm library: see a full discussion on adopting these technologies for biological imaging here:



MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models

2026-04-01 · shared by Andre Rendeiro · arXiv

a multiplex imaging prediction model from Sanofi


Functional hierarchy of the human neocortex across the lifespan

2026-04-01 · shared by Andre Rendeiro · Nature

relevant for the VITA dataset


CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report

2026-04-01 · shared by Andre Rendeiro · arXiv

the write-up of Owkin's generative model



Toward Computationally Complete Spatial Omics

2026-03-29 · shared by Ernesto Abila · bioRxiv

A new framework to integrate histology, epigenome, transcriptome, proteome, and metabolome into a unified representation.


Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning

2026-03-27 · shared by Andre Rendeiro

latest from the Mahmood lab


Reimagining systematic anatomy: The conclusion of the quartet

2026-03-27 · shared by Andre Rendeiro · Clinical Anatomy

Reimagining systematic anatomy: The conclusion of the quartet - Neumann - 2022 - Clinical Anatomy - Wiley Online Library


Single-cell atlas of human lung aging identifies cell type dyssynchrony and increased transcriptional entropy

2026-03-27 · shared by Andre Rendeiro · Nature Communications

potentially useful dataset to validate insights from lung tissue aging


Single-cell spatial transcriptomic analysis of human skin anatomy

2026-03-26 · shared by Ernesto Abila · Nature Genetics

Potentially a nice dataset, where they also study tissue units/ neighborhoods in the skin in healthy, pathology, but also age. They find e.g., a stromal unit decreasing with age and an immune-poor perivascular niche increasing with age. They also use GTEx bulk RNA-seq, but so far not the images. MER…


Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images

2026-03-26 · shared by Clemens Kohl · arXiv

Interesting method that allows for retrofitting of foundation models to another modality.




Trajectory-based differential expression analysis for single-cell sequencing data

2026-03-23 · shared by Andre Rendeiro · Nature Communications

an interesting paper which I think you'll find relevant


Thymic health consequences in adults

2026-03-23 · shared by Lisa Kleissl · Nature

"We developed a d eep learning framework to quantify thymic health from routine radiographic images and evaluated its association with longevity and risk of major age-associated diseases in two large prospective cohorts of asymptomatic adults: the National Lung Screening Trial ( = 25,031) and the Fr…


Whole-organ and whole-body 3D atlases enable cellome-wide profiling

2026-03-23 · shared by Yimin Zheng · Cell


HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes

2026-03-18 · shared by Ernesto Abila · arXiv

A solo paper by one of the software developers of HistoPlus (Pierre, who we also met with for HistoPlus).




Intestinal interoceptive dysfunction drives age-associated cognitive decline

2026-03-12 · shared by Andre Rendeiro · Nature

particularly relevant in the context of the CeMM 'flagship' project - let's have a look so we are familiar with the scientific language, methods, ideas


The DNA virome varies with human genes and environments

2026-03-12 · shared by Andre Rendeiro · bioRxiv

super cool work - had a similar idea for GTEx and then trying to anatomically localize the impact of viral infection/load in the body


Ageing promotes metastasis via activation of the integrated stress response

2026-03-12 · shared by Andre Rendeiro · Nature



imAgeScore, a Cell Painting-Based Predictor of Cellular Age for High-throughput Drug Screening Applications

2026-03-11 · shared by Ernesto Abila · bioRxiv

Scoring of primary human dermal fibroblasts with Cell Painting. imAgeScore correlates with chronological and DNA methylation-based age estimates and captures coordinated morphological changes across nuclear and cytoplasmic compartments."


RNA-seq analysis in seconds using GPUs

2026-03-11 · shared by Andre Rendeiro · bioRxiv

a bit of a curiosity/niche but pretty interesting to see how people are GPU-accelerating very standard areas of biology which are no longer a bottleneck for routine tasks but can then enable very large scale analysis


Estropausal gut microbiota transplant improves measures of ovarian function in adult mice

2026-03-11 · shared by Andre Rendeiro · Nature Aging

interesting study with lots of valuable resources for ovarian aging and histology - particularly relevant to Parijat


TransBrain: a computational framework for translating brain-wide phenotypes between humans and mice

2026-03-11 · shared by Andre Rendeiro · Nature Methods

sounds cool and probably a lot to learn here


Ten mouse organs proteome and metabolome atlas from adult to aging

2026-03-09 · shared by Andre Rendeiro · Genome Medicine

if we ever want a dataset of mouse proteomics during aging


MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy

2026-03-05 · shared by Andre Rendeiro · arXiv

model for microscopy data where some ideas may be useful to us


Tissue-specific impacts of aging and genetics on gene expression patterns in humans

2026-03-04 · shared by Andre Rendeiro · Nature Communications

I believe I had already shared this one, but just in case


Confounding factors and biases abound when predicting molecular biomarkers from histological images

2026-03-04 · shared by Andre Rendeiro · Nature Biomedical Engineering


Foundation model for cancer imaging biomarkers

2026-03-04 · shared by Andre Rendeiro · Nature Machine Intelligence

good to keep an eye on the radiology side of things


GrapHist: Graph Self-Supervised Learning for Histopathology

2026-03-04 · shared by Andre Rendeiro · arXiv

cool work on graph-based learning - we could try it out already in basically every project in which we learn slide labels; especially relevant for Shrestha, Simon



Revisiting the blueprint for an interpretable virtual cell

2026-02-27 · shared by Andre Rendeiro · Nature Reviews Genetics

important historical insights, and a provoking thought we should all be having


Cellular Aging Signatures in the Plasma Proteome 2 Record Human Health and Disease

2026-02-25 · shared by Ernesto Abila · bioRxiv

New paper from the Wyss-Coray lab.



Towards Spatial Transcriptomics-driven Pathology Foundation Models

2026-02-23 · shared by Andre Rendeiro · arXiv

latest from Mahmood lab - would be good to run inference for a small set of GTEx slides and benchmark how aggregation recovers the bulk RNA-seq profiles


Deep Label Distribution Learning for Leveraging Image Ambiguity

2026-02-17 · shared by SSrivastava

Converts the hard labels into a distribution and then calculates loss between prediction probability and ground truth probabilities, maybe we can use this to solve the imbalance in age in the GTEx dataset.


immgenT: A Comprehensive Reference of Convergent T-cell States in the Mouse

2026-02-11 · shared by Andre Rendeiro · bioRxiv

seems like a good reference for all sorts of T cell states which includes lymph nodes also in some cancer models. There are also some other companion papers


Circulating Cell Type Senescence Signatures Reveal High-Resolution Health Status and 2 Trajectories in Human Longitudinal Studies

2026-02-10 · shared by Ernesto Abila · medRxiv

Circulating Cell Type Senescence Signatures Reveal High-Resolution Health Status and 2 Trajectories in Human Longitudinal Studies


A lightweight, ultrafast and general embedding framework for large-scale spatial omics data

2026-02-09 · shared by Andre Rendeiro · bioRxiv

very impressive work, we should study it (method and paper); maybe particularly relevant for Simon regarding previous foundation model ideas


Trans-eQTLs reveal the architecture of human gene regulatory networks

2026-02-09 · shared by Andre Rendeiro · medRxiv

the latest in QTL land


AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing in Computational Pathology

2026-02-05 · shared by Ernesto Abila · arXiv

maybe another Grandqc competitor. They also have or plan a patch writing database functionality:



Revealing the genetic architectures underlying organ-specific aging based on proteomic data

2026-02-04 · shared by Andre Rendeiro · Nature Communications

not sure I sent this one around - look at the bell curve in figure 1... that's what I'm thinking


HistoSweep enables cellular-resolution tissue quality control for gigapixel images in digital pathology and spatial omics

2026-02-04 · shared by Andre Rendeiro · bioRxiv

looks like there is a competitor to GrandQC


PaperBanana: Automating Academic Illustration for AI Scientists

2026-02-04 · shared by Ernesto Abila · arXiv


Aging reshapes the adaptive immune system from healer to saboteur

2026-02-03 · shared by Andre Rendeiro · Nature Aging


Skin health and biological aging

2026-02-03 · shared by Andre Rendeiro · Nature Aging


An atlas of human histological diversity

2026-02-03 · shared by Ernesto Abila · bioRxiv

A new very relevant study on the GTEx dataset, associating "morphemes" (histology signatures) with the patho-clinical and multi-omics data, to reveal influences of age, sex, genetics, and pathologies. Furthermore, they provide a web Version of the atlas ( where among other things morphemes can be qu…


Heritability of intrinsic human life span is about 50% when confounding factors are addressed

2026-01-29 · shared by Andre Rendeiro · Science

commentary also here:



VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology

2026-01-27 · shared by Samir Moustafa · arXiv

interactive pathology segmentation foundation model combining vision, language, and expert prompts, strong gains on complex tissue segmentation and useful for clinically grounded benchmarks


STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images

2026-01-22 · shared by Andre Rendeiro · npj Digital Medicine

another ST-generating models from H&E; would be good to add to LazySlide


CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

2026-01-22 · shared by Andre Rendeiro · Advanced Science

interesting model combining ST and language; would be good to add to LazySlide


A Foundational Generative Model for Cross-platform Unified Enhancement of Spatial Transcriptomics

2026-01-22 · shared by Andre Rendeiro

a model for ST prediction from histology; potentially useful paper to understand how to benchmark/validate these types of models; when available would be good to include in LazySlide


A multimodal sleep foundation model for disease prediction

2026-01-21 · shared by Andre Rendeiro · Nature Medicine


A foundation model for continuous glucose monitoring data

2026-01-21 · shared by Andre Rendeiro · Nature


Automated Detection of Portal Fields and Central Veins in Whole-Slide Images of Liver Tissue

2026-01-16 · shared by Andre Rendeiro · Cell Press

maybe a dataset to benchmark on, but also a paper with a template for some downstream tasks we could also adopt (e.g. slide-level classification)




Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images

2026-01-09 · shared by SSrivastava · arXiv

This paper uses Mamba a specific type of state space model (SSM) (these are proposed to be faster and efficient alternative for the attention mechanism). SSM combines the fast nature of RNNs during inference along with the complexity of transformers during training.


Advancing single-cell omics and cell-based therapeutics with quantum computing

2026-01-09 · shared by Yimin Zheng · Nature Reviews Molecular Cell Biology


High-parameter spatial multi-omics through histology-anchored integration

2026-01-08 · shared by Andre Rendeiro · Nature Methods