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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.
608 papers, from 31 August 2026 to 5 November 2026: 425 arXiv preprints, 128 bioRxiv preprints and 55 OpenAlex records.
Newest papers, page 16
Language Models Share a Readout Bottleneck in Working Memory
Large language models (LLMs) reproduce a human working-memory signature on the N-back task: performance declines as memory load N increases, and errors concentrate on lures, items that repeat the…Poisoning the corpora of protein design systems during pre-training and retrieval
Protein foundation models increasingly support the generation of novel biological sequences, yet their reliance on large public datasets creates opportunities for adversarial manipulation of the…Documenting Trofinetide Treatment Phenotypes in Rett Syndrome with a Dual-LLM Consensus Pipeline
Trofinetide, approved in 2023 as the first Rett syndrome treatment, lacks scalable real-world monitoring because chart review is labor-intensive.Causal Integrated Gradients: Scalable Feature Attribution Along Causal Paths
Existing feature attribution methods that account for feature dependencies do not scale to high dimensions.Upper bounds on the number of causal pieces in spiking neural networks
The input space of single-spike neural networks decomposes into causal pieces, and the number of causal pieces has been shown to provide a lower bound on the approximation error for some spiking…Learning the Shared Latent Structure of Cryo-EM Inverse Problems
Understanding biomolecular function requires characterizing three-dimensional structure and conformational variability, for which cryogenic electron microscopy (cryo-EM) is a powerful tool.Alignment of visual brain encoding models with individual perceptual similarity judgments
Encoding models that predict brain activation responses to images have traditionally been trained to maximize accuracy when predicting observed brain data.Harness-Driven Agentic Operation of Optical Pooled Screen Analysis
Optical pooled screens connect genetic perturbations to changes in cell morphology and behavior, but turning the microscopy data into interpretable results takes complex, multi-day analyses.Alert-List Concordance for Evaluating Imputation Strategies in ICU Sepsis Prediction
Preprocessing is an under-measured reliability risk in clinical prediction: a model can keep a similar AUROC and still change who receives an alert.The typical red cell makes too little vacuole material for coalescence to build the large vacuoles of pocked cells
Red blood cells carrying intracellular vacuoles, called pocked cells, are a sensitive marker of splenic function: about 0.5% of cells in healthy people, 20 to 70% after splenectomy.Brain-Aligned Multimodal LLMs for Social and Emotional Understanding of Cartoon Movies
Multimodal large language models (MLLMs) offer scalable annotations of social and affective content, but their temporal agreement with human judgments and neural predictive value require further…How Long Is the Coast of a Neuron? Resolution-Dependent Interaction Order and Computational Capacity
Mandlebrot's coastline paradox reframes measurement as a joint property of an object and its ruler.Structure Before Intelligence: Gating What Agentic Scientific Workflows Release
An agentic scientific workflow can run to completion and still release wrong results: a silent numerical error, a stale input, or a defect in a shared upstream step can contaminate several outputs…ProtModernBERT: Compute-Efficient Protein Language Modeling
Large protein language models provide a powerful framework for learning sequence-function relationships and guiding experimental design.Maximum likelihood, neural networks and posterior mean for inferring fractional Brownian motion parameters
Fractional Brownian motion (fBM) is a model of anomalous diffusion parameterised by a Hurst exponent $H \in (0,1)$ and a generalised diffusion coefficient $D_H > 0$.Feasibility of a Patient-Specific Digital Twin for Ventriculoperitoneal Shunt Trajectory Planning
Catheter obstruction is the commonest cause of shunt failure; freehand insertion at Keen's point leaves the tip free in cerebrospinal fluid in only one case in ten.Predicting Unseen Scientific Interactions: Conditional Flow Models Hallucinate Non-Additive Effects
Conditional generative models are increasingly used for scientific prediction beyond the direct training support.Semantic Alignment of EEG and Text: A Contrastive Learning Framework for Decoding Imagined Speech
Imagined speech decoding from EEG offers a promising route toward naturalistic brain-computer interfaces.Cross-subject decoding of imagined speech from scalp EEG: a leakage-controlled evaluation on three public corpora
A decoder of imagined speech that works for a new user without calibration would make a non-invasive speech interface practical.Collective Benefits and Efficiency in Coupled Echo State Networks
Simple aggregation of independent responses ("wisdom of crowds") generally improves collective performance through statistical facilitation, but interaction among members can sometimes hinder group…
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