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Life Sciences
Life scientists post their preprints on bioRxiv, and quantitative biology appears on arXiv too. This page shows the newest papers ReadSearch has read from both, from cell biology and genetics to neuroscience, ecology and immunology.
606 papers, from 31 August 2026 to 5 November 2026: 423 arXiv preprints, 128 bioRxiv preprints and 55 OpenAlex records.
Newest papers, page 9
Substrate hypergraph cycles: unique steady states and persistence for every enzyme assignment; oscillations enabled by enzyme sharing
We associate a directed substrate hypergraph with an enzymatic reaction system.AVID: A 5T fMRI Dataset for Benchmarking Auditory-induced Visual Mental Imagery Decoding
Visual mental imagery (VMI) decoding uses brain activity to reconstruct internally generated visual scenes, providing a potential pathway for externalizing internal experiences and developing…HistoTx: Early fusion of H&E images and spatial transcriptomics at varying spatial transcriptomics resolution with self-supervised learning
Spatial transcriptomics maps gene expression across tissue sections and, when integrated with whole slide images, jointly captures both morphological architecture and molecular activity to provide a…From FAIR to AI-FAIR Metadata-First Infrastructure for AI-Enabled Science
Artificial intelligence (AI) technologies and their capabilities have advanced rapidly over the past few years, leading to widespread interest and adoption in the biological and ecological sciences.RangeFinder: Predicting Ligand Property Ranges from Protein Pockets
Identifying ligands for a protein target requires searching a vast chemical space for a comparatively small set of compatible molecules.Can AI Do Formal Demography? Why Vaccinating the Oldest Saves Both the Most Lives and the Most Years of Life
Can AI contribute to formal demography?Automatic Generation of Novel Highly-Functional Molecular Sequences
While multiple methods now exist to generate functional sequence variants from existing annotated examples, it is unclear how well such methods can be used to generate sequences that exceed the…BEND 2.0: Benchmarking the Capabilities Needed to Design DNA
Genomic foundation models are increasingly used to propose DNA sequences and edits.El Agente Fármaco: A Scalable AI Scientist for Drug Discovery
Computational drug discovery offers a growing range of tools for proposing and evaluating molecules, but combining them and deciding what to do next still requires substantial expert effort.ProteoCraft: Protein Design as Proposal-Verification Search
Protein-protein interactions underpin nearly all biological processes.One Mistake, Three Layers: Persistence Rules Under Depth Correlation
Probing frozen representations layer by layer is now standard practice, but reporting when a signal first becomes decodable requires a rule for reading a depth curve, and the obvious rule is wrong.When Model Complexity Matters in Cross-Subject Naturalistic fMRI Prediction
Increasingly complex neural models predict blood-oxygen-level-dependent (BOLD) responses to naturalistic stimuli, but the predictive value of this added complexity remains unclear.An auditable agentic pipeline for variant-to-gene prioritisation, validated against orthogonal functional evidence
Assigning GWAS variants to causal genes requires evidence from multiple resources.From Tool State to Scientific Action: Auditing Decision Provenance in Biomedical Research Agents
A scientific agent can give the same verdict while reading and citing different evidence.Accurate automated photo-identification of Near Eastern and European fire salamanders
Photo-identification underpins non-invasive capture-recapture monitoring of amphibians, but manual identification becomes slow and error-prone as reference libraries grow.Stand-In Effects and Pooling Amplification: Design-Based Tests of Whether Biological World Models Use Actions
Action-conditioned world models are increasingly trained on data from randomized experiments, and whether their predictions respond to actions is usually checked by replacing or removing the actions…Comparative Strategies for Handling Imbalanced QSAR Regression: A Case Study on hERG Activity Prediction
Data imbalance frequently occurs in QSAR modeling, yet most studies focus on classification tasks, and few address regression tasks, as it is challenging to determine which regions of the data are…The (Butter)fly Dream: Linear Separability of World-Model Rollouts in a Connectome-Constrained Visual Model
Zhuangzi dreamt he was a butterfly and, on waking, could not tell which was the dream.Do agents need to sleep?
LLM-based agents, which increasingly operate persistently across sessions and accumulate memory through interaction, already exhibit the familiar symptoms of unchecked plasticity: semantic drift…Modeling Visual Cortex with Layerwise Multiscale Manifold Capacity Maximization
Task-optimized deep neural networks have risen to prominence as the most predictive phenomenological models of responses in primate visual cortex, but leave much to be desired from the perspective…
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