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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 11
Latent Prediction Yields Cross-Subject Alignable Representations in Sensory-Evoked fMRI
Decoding sensory-evoked functional magnetic resonance imaging (fMRI) data is a central analytical tool in cognitive neuroscience.Agentic LLM reasoning in pediatric diabetes outcome prediction from multimodal medical records
Large language model (LLM) agents are proposed for clinical prediction but are untested in pediatrics, where cohorts are small and outcomes are uncommon.Learning developmental dynamics from lineage context
A central goal of biology is to predict the dynamics of multicellular systems.A Low-Rank Space Captures Linear Alignment Between LLM and Human Neural Activity During Naturalistic Language Listening
Large language models (LLMs) are increasingly used as computational models of human language processing, yet it remains unclear which components of their representations drive alignment with neural…Advancing Clinical Genomic Analysis with a Skill-Centred Agent
Clinical genomic analysis requires experts to integrate evolving guidelines, databases, and computational evidence.GraphTFactor: A graph-based approach for proteins transcription factor prediction
Transcription factors (TFs) play an important role in regulating gene expression, making their identification a fundamental task in computational biology.Immersed Boundary Electrodiffusion in the Wasserstein Gradient Flow Formalism: Global Well-Posedness, Non-Equilibrium Thermodynamics, and Singular Asymptotics
We introduce a unified optimal transport framework for the Immersed Boundary (IB) electrodiffusion active pump model.Contribution of chromosome-naïve transposon-seeded network of DNA templates to intracellular pools of protein dimers of liquid-liquid phase-separated condensate-forming proteins
Molecular mechanisms governing protein-protein interactions (PPI) contributing to the biogenesis of membraneless condensates remain poorly understood.Localizing predictive concepts encoded in neural representations via hierarchical testing
Understanding which regulatory sequence motifs a genomic deep learning model has learned, with statistical error guarantees, is essential for trusting its use in downstream tasks such as variant…D2ML: Models for Direct-to-Biology Small Molecule Screening
Direct-to-biology (D2B) screening enables rapid testing of newly synthesized molecules without purification.Morpheus.AI: agents autonomously generate, execute and refine virtual tissue models
Virtual tissue models link observations to mechanistic hypotheses, but building them demands expertise in biology, mathematics and programming.Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups
Deciding which member of an animal group produced a vocalization and where that vocalization was produced are central to studying social communication but are rarely evaluated with physically…Data Amount Heterogeneity Improves Performance in Federated Learning for Neuroimaging
Federated Learning (FL) allows for secure analysis of distributed data without data sharing.Generative discovery of chemical reaction networks
Chemical kinetics determines molecular stability, reaction selectivity and the evolution of reacting mixtures, but discovering the underlying reaction networks remains challenging.Kinetics, Proofreading, and the Lifetime of Multivalent Contacts
Selective recognition is how a cell finds the right partner in a crowd and how a drug carrier finds the right cell, so getting it wrong means a missed target or a toxic one.REVBRAIN: Real-time Probabilistic EEG Forecasting Using Residual Vector Quantization
Real-time forecasting of resting-state EEG signals is required by applications like brain-state-dependent stimulation, where computer generated actions are coupled with ongoing neural oscillations.Spontaneous Spirals in Spatial Systems
Several chemical and biological systems produce spontaneous spirals in their dynamical behavior, such as the Belousov-Zhabotinsky reaction in chemistry and the slime mold Dictyostelium in biology.What to randomize matters: a controlled study of volume, axis and representation in low-data molecular generation
Chemical language models can struggle to generate new molecules when trained on small datasets, where a model may reproduce training examples rather than learn a useful generative distribution.Automatic Construction of Strong Simple Baselines
To rigorously establish the value of a novel deep learning method, it must be compared against appropriate baselines.Stationary Action Principles for Neuronal Growth
Neuronal growth is guided by biochemical, mechanical, and geometrical cues while being influenced by stochastic fluctuations in cytoskeletal dynamics, adhesion, and growth cone sensing.
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