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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.
709 papers, from 31 August 2026 to 6 November 2026: 426 arXiv preprints, 228 bioRxiv preprints and 55 OpenAlex records.
Newest papers, page 25
COMPASS 2.0: psychometric representational similarity analysis distinguishes symptom structure from personal signal
Language models can score psychiatric questionnaires from speech, but agreement with self-report may reflect the questionnaire rather than the person.TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions
Destructive single-cell measurements provide unpaired population snapshots rather than observations of the same cells across conditions.Lightweight Semantic EEG Foundation Model for Frozen Cross-Disorder Transfer
Large-scale EEG foundation models have demonstrated promising transferability across neurological disorders, but often require millions of parameters and substantial computational resources.LifeLong Digital Twin: A Unified Modeling Paradigm and Agent Harness for Event-Driven Lifelong Health State Trajectories
Human health is a continuous, dynamic trajectory shaped by the cumulative interplay of biological processes, clinical events, behaviors and environmental exposures across the life course.NeuroLens: Learning Latent Embeddings of Neural Semantics from Chronic Recordings
Understanding how neural activity represents higher-order cognition and how these representations evolve over time has long been a central pursuit in neuroscience.Response Variability and Stability in Human Reasoning
Understanding how humans reason -- and how reasoning responses vary across tasks and individuals -- remains a core challenge for modeling and explanation in cognitive science.Multimodal reasoning for broadly neutralizing antibody discovery from label-free human B cell repertoires across virus families
Discovering broadly neutralizing antibodies (bnAbs) from human natural immune repertoires remains a fundamental challenge in immunology, hindered by: the extreme rarity of bnAb, incomplete…Contrastive Neural Embeddings Reveal Individual Traits Beyond Conversational Role
Contrastive representation learning is increasingly used to recover low-dimensional structure from neural recordings, but its output is typically validated by decoding accuracy rather than by the…Broken scale symmetries in undercomplete linear autoencoders
Neural network loss landscapes have many symmetries, which are preserved by gradient flow but broken by finite-stepsize stochastic gradient descent (SGD).RNADyn: A Benchmark for Generating and Understanding RNA Dynamics
Ribonucleic acid (RNA) functions through conformational changes that are not fully captured by static structures.The Score Is Not the Structure: Brain Alignment and Cross-Lingual Transfer
Researchers often support the claim that a model shares structure with the brain, or across languages, by reporting a similarity score.OncoNoteBERT: A Foundation Representation Model for Natural Language Processing of Real-World Outpatient Oncology Notes
Real-world outpatient oncology notes contain specialised terminology, tumour staging expressions, treatment names, toxicity descriptions, and institution-specific de-identification markers that may…Learning Latent Protein Languages for Autoregressive Generation
Autoregressive transformers remain comparatively weak for protein sequence and structure generation.MorphoBranch: A Fine-Structure-Preserving Workbench for Morphometric Analysis of Branched Cellular Structures
Background and Objectives: Fluorescence-labeled cellular arbors provide readouts of neuronal and microglial morphology, but fine and weakly labeled processes are prone to fragmentation and false…Auditable Algebraic Counting Field for Cryptic-Pocket Detection from Apo Structures
Cryptic ligand-binding pockets are not apparent in experimentally determined apo structures, making them difficult to identify from unbound receptor geometry.Fold'EM: Direct atomic structure inference from Cryo-EM particles
Single-particle cryo-electron microscopy (cryo-EM) has become a widely adopted technique for biomolecular structure determination.Can LLMs Reliably Annotate Bioassay Metadata to Improve Data Readiness?
The emergence of foundation models for molecular property prediction requires a high degree of AI data readiness, including reliable metadata annotation.pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows
Biomolecular therapeutics often start from known sequences and require targeted editing to improve multiple properties while satisfying hard biochemical and manufacturability constraints.Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems
Neural activity often exhibits multiple timescales that can vary with behavioral states and task conditions.A foundation for systematic analysis of transformers and RNNs for tractography
Machine learning (ML) has emerged as a promising approach for improving diffusion MRI (dMRI) tractography, a task that remains limited by the intrinsic tension between local diffusion information…
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