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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 27
From Neurons to Conversation: Speech Brain-Computer Interfaces
Speech brain-computer interfaces (BCIs) aim to restore communication by transforming neural activity related to speech, language, or communicative intent into external outputs such as text…RNA Design via Conditioned Flow Matching and Finite-Policy Reinforcement Learning
RNA design aims to identify sequences that fold into specified secondary structures.Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification
Simulation-based inference is challenging when many heterogeneous observations must be composed, hierarchical latent structure must be preserved, and the simulator is misspecified relative to…AssayRouter: Historical Utility Priors for Frozen Molecular Predictor Routing
Laboratories often face a new molecular assay with 16-64 labels and a bank of predictors whose training data and parameters are unavailable.Benchmarking graph-based models for in-silico toxicity prediction in drug discovery
Drug discovery is a costly and high-risk process, where toxicity-related failures remain a major cause of attrition in both preclinical and clinical stages.Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders
Self-supervised pretraining reshaped prediction in language and vision, and brain foundation models (BFMs) inherited its promise.LEMON-ZEST: Evolution-Informed Tokenization for Efficient Protein Language Modeling
Protein Language Models (PLMs) have made remarkable progress following scaling laws established in natural language processing across sequence- and structure-based tasks, yet the potential of…Stochastic gradient descent on the epigenetic landscape: a unified framework for cellular plasticity, tumor heterogeneity, and the asymptotic irrelevance of fitness
Phenotypic plasticity, the ability of cells to switch between states, is central to development, differentiation, and therapy resistance.OmniVCBench: Benchmarking Evidence-Grounded Multimodal Reasoning Towards AI Virtual Cells
Artificial Intelligence Virtual Cells (AIVCs) are envisioned as scientific agents that simulate cellular responses, explain underlying mechanisms, and support hypothesis-driven discovery.Boids of a Feather Flock Together - Evolving Prey Behaviours Under Different Predator Attack Strategies
Flocking and schooling are thought to have evolved partly as defences against predation, but how prey should balance social and escape tendencies may depend on the predator's hunting strategy.Which Attention Heads are like the Human Head? Not the Ones that Compute
Brain-AI alignment is often interpreted as a sign that model and brain perform similar computations.Traversing the solution space of neural networks with Hessian Null Space Continuation
On a single task, deep networks can learn many solutions, depending on their optimizer, training data, architecture, and hyperparameters.Embodiment-aware control by inference over the operator: a simulation study
Teleoperation systems are tuned for channel fidelity, while whether the operator experiences the device as part of the body, the Sense of Embodiment (SoE), is measured only afterwards, by…RetroGEF: Dynamic Graph Edit Flow for Single-Step Retrosynthesis
Retrosynthesis enables the discovery of viable synthetic routes to target molecules.TERRA: Terrain-Aware Reconstruction, Retargeting and Control for Musculoskeletal Locomotion
Recent advances in musculoskeletal modeling and reinforcement learning have enabled muscle-actuated agents to reproduce increasingly complex human motions.How much of fly walking is written in the wiring?
Connectome models of the fly nerve cord generate walking-like motor rhythms, but oscillation alone does not show that the specific wiring matters.GenoMorph: Pathway-Grounded Genomic Disease Reasoning via Adaptive Latent Computation
Large language models (LLMs) have demonstrated strong capabilities in biological reasoning; however, genomic disease inference remains largely dependent on memorized gene-disease associations rather…SPINET: Sheaf Protein Inverse Folding Network
Proteins change shape as they function, yet most inverse folding models predict amino acid sequences from a single, fixed backbone.FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model
Modeling resting-state functional magnetic resonance imaging (rs-fMRI) data is crucial for understanding brain-wide neural activity.M3OS: A Monte Carlo Graph Search-Orchestrated Multi-Agent LLM System for Evidence-Traced Molecular Optimization
Small-molecule optimization integrates medicinal-chemistry reasoning and computational evidence through iterative, multi-objective decisions.
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