A field on ReadSearch
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 24
Taxonomic Classification with Tag Arrays
Taxonomic classifiers based on exact matches differ in which matches they use and in how each match splits its credit among the taxa containing it: Kraken~2 gives a $k$-mer's credit to the lowest…Learning infinite context windows in recurrent architectures via spatial neural computing
Recurrent neural networks (RNNs) offer linear-time scaling with sequence length while requiring only constant memory, yet they struggle to capture long-range dependencies due to vanishing gradients…Similar Predictive Fit but Different Latent Dynamics: Characterizing Learned Dynamical Structure in Personalized Models of Brain Disorders
As AI models move toward clinical decision-making and personalized treatment, understanding \emph{what} a model learns is important beyond predictive accuracy alone.Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution
Model-guided directed evolution seeks to identify high-fitness protein variants under limited oracle budgets.Mathematical Invariant-Enabled Topological Neural Networks for Molecular and Materials Property Prediction
Existing molecular and materials learning approaches often rely on a limited set of structural representations, which may capture only selected aspects of complex three-dimensional structure.CANDLE: Cortical Null-Space Decomposition for Noninvasive Brain Source Imaging
Electrophysiological source imaging (ESI) aims to estimate cortical source activity from noninvasive electrophysiological measurements such as electroencephalogram (EEG).ReGraph: A Computational Account of Emergent Generalization in the "what" and "where" Dual Visual Streams
Where generalization capacity--the ability to extract context-invariant relational structures--first emerges remains a central question in AI and neuroscience.Confidence-Ordering Reversal under Contextual Priors in Neural Decoding
Contextual priors improve neural-to-language decoding by reshaping candidate scores.From the Drosophila Visual Connectome to General-Purpose Computer Vision
Biological connectomes encode structured solutions to visual computation that may provide reusable inductive biases for artificial vision.Information-Dense Synthesis for Molecular Discovery
Machine learning can accelerate molecular discovery by designing molecules and planning experiments.Language-model ratings of depression reflect the rater more than the patient
Depression has no diagnostic blood test.Neural Petri flows for chemical reactions
Petri nets have been used to describe chemical processes such as reactions.They map well to chemistry: Places are the bonds between atoms and the free valence of each atom, a token is a unit of bond…A Shortcut to Structure in AlphaFold 3
AlphaFold 3 predicts protein structures with remarkable accuracy, yet how structural information emerges within the model remains poorly understood.A Connectome Test of the Fly Hashing Algorithm
Dasgupta, Stevens and Navlakha (2017) showed that the Drosophila olfactory circuit, modelled as a random sparse projection followed by winner-take-all, is a locality-sensitive hash that beats…An evolutionary origin of collective decision making in humans and machines
Groups of individuals can solve collective problems more accurately than any single member, by aggregating their opinions.End-to-End Autonomous Recursive Arborescence Deformable Flow and Non-Linear Hemodynamics for Patient-Specific Coronary Centerline Extraction
Extracting patient-specific vascular trees from volumetric medical images is fundamental to computational angiography and non-invasive hemodynamic assessment.CoHyFuse: Condition-wise Hypergraph Fusion with Global Connectome in Task-fMRI
Task-fMRI connectomes reveal state-dependent neural reconfigurations, yet conventional methods marginalize these signals by aggregating distinct conditions into static pairwise graphs, thereby…From communication to computation in neurons-on-a-chip: an in silico study of neurotopomorphic computing
Living neuronal networks transform inputs through recurrent cellular and population dynamics, yet it is unknown which network architecture supports which computation.APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins
Establishing ordinary differential equations (ODEs) describing population data is a fundamental part of mathematical modeling in pharmacology, crucial to developing digital twins.NeuroCBIR: A Fast and Accurate Image Retrieval System for Whole-Brain and Region-Specific MRI
Content-based image retrieval (CBIR) in neuroimaging enables the identification of structurally similar brain scans, supporting diagnosis, prognosis, and treatment planning; however, existing…
Get the few papers worth your time in Life Sciences every morning.
Choose your topics and ReadSearch reads the new papers in them each day, then brings you the few worth reading, each with its key finding in a sentence.