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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 31
Large Language Model Agents for Evidence Based Genetic Disease Severity Classification
Disease severity classification for genetic conditions is subjective and labor-intensive, creating bottlenecks in genomic screening, where commercial panels vary widely in size and overlap.Self-Replicating Neural Cellular Automata: Quantifying Emergent Phenotypic and Genotypic Diversity in an OpenEnded Substrate
We study an in-silico substrate in which every pixel of a two-channel cellular-automata grid carries a tiny neural network (an agent) that senses its Moore neighborhood.Dynamic Generalized Gromov-Wasserstein Optimal Transport
Gromov--Wasserstein optimal transport (GW-OT) extends classical optimal transport by introducing structure-aware transport cost.A Mathematical Model of Motivated Emotional Mind - Cognitive Embodied System
This article presents a mathematical model of the Motivated Emotional Mind cognitive architecture developed for embodied intelligent systems.Neural noise enables accurate internal simulation of rare events
The brain needs an accurate internal model of the world to generate predictions and guide behavior.HPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition
More than 300 million people worldwide are affected by one of over 7,000 known rare diseases, yet diagnosis remains difficult because patients initially present with incomplete and heterogeneous…The evolution of sex for artificial intelligence: a population-genetic framework for multigenerational model populations
Some aspects of AI development resemble a population process in which models are specialised, retrained on the output of peers, or combined by averaging weights.Sharpness-Aware Minimization (SAM) Improves Classification Accuracy of Bacterial Raman Spectral Data Enabling Portable Diagnostics
Antimicrobial resistance is expected to claim 10 million lives per year by 2050, and resource-limited regions are most affected.PlainMap: a lightweight, restartable mapping pipeline for ancient and modern DNA
Mapping sequencing reads to a reference genome requires preprocessing and alignment choices that can vary with library type, fragment length, sequencing platform, and reference genome.HyCoSeq: Contextual Hyperbolic Representation Learning for Genomic Sequences
Hyperbolic geometry provides a natural inductive bias for genomic representation learning, but existing hyperbolic genomic models primarily use Lorentz convolutions to learn local sequence…Learning Options for Compositional Motor Control with Adapter Banks
Learning flexible motor primitives is a hallmark of skilled motor control.Decoding Extrahepatic Targeting of Lipid Nanoparticles with Interpretable Machine Learning
Lipid nanoparticles (LNPs) have transformed RNA medicine, yet their clinical utility remains constrained by predominant hepatic accumulation after systemic administration.When AI Generates Covariates: Causal Typing and Estimand Drift in Sequential Experiments
AI-generated covariates from notes, conversations, images, and wearable streams can change the causal question when their roles are left unspecified.Information Set Emulation: Causal Certificates for AI Derived EHR Features
AI and large language models can recover clinically meaningful features from electronic health records (EHRs), but predictive usefulness does not establish admissibility for causal inference.Bracketing Uncertainty in Clustering Under the Manifold Hypothesis
The manifold hypothesis suggests a natural criterion for clustering: partition data according to the manifold component from which each point is drawn.BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological Research
Language models face unique challenges in analyzing interdisciplinary scientific research literature.Towards a knowledge-enhanced single-cell foundation model
Single-cell foundation models (scFMs) increasingly rely on large-scale transcriptomic pretraining, yet expanding pretraining data can yield diminishing gains while substantially increasing…ProLiVis 2.0: Literature-Centric Visualization of Protein--Protein Interaction Networks, with a Citation-Trust Model for Interaction Evidence
Protein-protein interaction databases record evidence without weighing it.Big Brains and Changing Environments: Cause or Consequence?
Large brains are metabolically costly, and associations with changing environments do not imply they evolved there, as the Cognitive Buffer Hypothesis (CBH) would suggest.Knowledge-Enriched Structured EHR Features for 30-Day Hospital Readmission Prediction on MIMIC-IV
Recent approaches to 30-day hospital readmission prediction rely on pre-trained language models applied to discharge summaries.
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