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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 33
Sequence-Informed Geometric Evaluation of RNA 3D Structures
Computational RNA structure pipelines generate many candidate conformations for the same sequence.scDEFT: A deep learning framework for drug-effect prediction and counterfactual reasoning
Longitudinal single cell atlases now capture matched pre treatment and post treatment states from responders and non responders, presenting an opportunity to mechanistically explain why two patients…Seamless Whole Slide Label-Free Virtual Staining
Label-free virtual staining offers a compelling, non-destructive alternative to standard histopathology; however, its clinical adoption is hindered by the computational bottlenecks inherent to…A Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits
The brain uses discrete spikes for dynamic computation, yet, how neural microcircuits (NMCs) solve temporal credit assignment using local spike timing remains a fundamental open question.PocketVE: Stable and Property-Guided Structure-Based Drug Design with Variance-Exploding Diffusion
Protein-conditioned 3D molecule generation is a central challenge in structure-based drug design, requiring a balance between pocket compatibility, molecular properties, and physical geometry.A Transformer-Based Delta Expression Encoder for Psilocybin Transcriptional Response: Architecture, Representations, and Biological Validation
Understanding why individuals respond differently to psilocybin requires modeling the drug's transcriptional perturbation signature at the cell-type level.Fixed-Dimensional Latent Flow for Generating Variable-Size 3D Molecules
In molecular discovery, molecule size is coupled to composition, structure, and other target properties.Why shared attention vectors fail: a case for outcome-indexed tuning
Dimensional attention in learning is often implemented as a globally shared attention vector, where each stimulus dimension corresponds to a single scalar.XAI-Refine: An Automated Explanation-Knowledge Loop for Brain-Age Prediction
Brain-age prediction models are commonly evaluated by predictive accuracy, yet accurate predictions alone do not establish that a model relies on reproducible or neurobiologically supported…CHIMERA Challenge Task 2 and 3: Response Subtypes Classification and Progression Survival Prediction in Bladder Cancer Patients using Multimodal Datasets
High-risk non-muscle-invasive bladder cancer (HR-NMIBC) carries substantial risks of recurrence and progression, while current clinical risk stratification remains limited.Unlabeled Echoes: Pseudo-Labels and Genus-Aware Smoothing for Bat Call Recognition
Passive acoustic monitoring produces far more bat recordings than experts can label.Phase oscillator networks with multiple and state-dependent delays: A framework for exploring white matter plasticity in neurodynamics
Network science is increasingly focused on how node dynamics influence emergent phenomena such as oscillations, waves, chimeras, and turbulence.Quantum-accurate atomistic modeling of enzyme catalysis using a machine learned potential
Electronic rearrangements associated with bond forming/breaking in catalytic enzymes require quantum mechanical (QM) treatment beyond classical molecular mechanics (MM).Human mutation field reveals an equilibrium-like structure with irreversible circulation
The evolution of DNA sequences can be viewed as stochastic dynamics on a high-dimensional discrete space, but it is unclear when empirical transition biases reduce to an effective energy landscape…Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers
Normative age models are trained to predict chronological age in a nominally healthy cohort.The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code]
Automated prediction of Enzyme Commission (EC) numbers plays a central role in functional annotation and computational drug discovery.MI-PEFT: Mixture-of-Experts Integrated Parameter-Efficient Fine-Tuning Protein Language Models Improves Acidophilic Proteins Classification
Acidophilic proteins that remain stable and functional under highly acidic conditions, are important for industrial biocatalysis, acid-related bioprocessing, and the discovery of acid-stable enzymes.Adaptive Entangled Game Modules in Artificial General Intelligence
We introduce a probability-wave framework for modeling the collective behavior of interacting adaptive agents, deriving testable eigenmodes through a generalized behavioral intelligence (GBI)…Representational Fidelity in Didactic Visualization: Toward a Multidimensional Design Space
Representational fidelity is routinely treated as a single abstract-realistic continuum, a simplification that limits how it is described and compared across research and design contexts.Formation of structural attractors in neuromorphic systems
This paper examines the theory of Invariant Structural Learning (ISL), which proposes a non-optimization approach to concept formation.
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