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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 14
Bio-Inspired Auditory Processing: Coupling Parallel Resonate-and-Fire Dynamics with Ternary Recurrent Networks for Speech Recognition
Spiking Neural Networks (SNNs) promise energy-efficient inference through sparse, event-driven computation, yet remain constrained on continuous, context-dependent tasks such as automatic speech…Phenotype-structured nonlocal aggregation models I: signal production and response
Individuals within a cellular or ecological population can exhibit substantial variation in their traits or phenotype.Unlocking the Full Potential of Taylor Dispersion Analysis Through Advanced Detection
Today, pharmaceutical sciences rely on a wide range of innovative therapeutics of varying sizes: nanoparticles, proteins, antibodies, and nanocarriers for drug delivery.AI Mindmeld: A Latent Interconnect Protocol
LLMs can act as scientific agents using tools to consult specialists and run experiments.Escaping the Phylogenetic Trap: Persistent Homology Enables Cross-Species Ion Channel Classification via Multimodal Graph Neural Networks
Protein classifiers are highly sensitive to evaluation protocol: random train/test splits induce phylogenetic leakage, allowing models to exploit taxon-specific correlations and substantially…BARRR: Bidimensional Augmented Reduced Rank Regression for Multi-View Multi-Cohort Data
Bidimensional data integration across multiple cohorts (i.e., sample groups) and views (i.e., sources or modalities) is crucial in biomedical research to derive holistic insights from heterogeneous…VGL-stGen: Learning a shared multimodal model for lung histology and spatial transcriptomics
VGL-stGen is a multimodal large language model adapted from a pretrained medical vision-language model using paired lung H&E and spatial transcriptomics with single-cell references.Spatially Informed and Direction Sensitive Representation Learning for Spatial Transcriptomics
Cellular states are shaped by both intrinsic gene expression programs and the spatial microenvironment in which cells reside.Generic finiteness of solutions to parametrized systems of generalized polynomial inequalities
We study parametrized systems of $\mathit{generalized}$ polynomial inequalities, $(c \circ x^B) \in C$, for a positive variable vector $x \in \mathbb{R}^n_>$, a $\mathit{real}$ exponent matrix $B…System-evolutionary view of RNA presence in living cells
Our guiding question for this article was: How did RNA adjust its life when the RNA world era came to an end?A Reverse-Gold Theorem: Positive-Data Identification by Substrate-Bounded Contrastive Learners
Gold's theorem shows that no learner can identify an arbitrary language in a superfinite class from positive presentations alone.HyperTaxa: Multiscale Genome Representations for Generalized Microbial Taxonomic Inference
Reliable microbial taxonomic inference is challenged by the rapid growth of newly sequenced organisms and incomplete reference coverage.How Robust Are Prognostic Radiomic Features? Comparing Selection Techniques on Pooled Glioblastoma Cohorts
Radiomic survival studies in glioblastoma report heterogeneous prognostic features, but how much of this stems from the methodology itself is rarely examined.Small Average Error, Wide Individual Error: General-Purpose LLMs Estimating Energy Intake from Meal Photos in a Feeding Trial
Photo-based estimation of food energy could ease dietary assessment, and general-purpose multimodal large language models (LLMs) make such estimates easy to obtain.Bombadil: A Foundation Model for Plant Electrophysiology
Living plants, like animals, use electrical signals to carry information about their physiological state across their body, from roots to branches.What Language Adds, and at What Cost: Four Controlled Probes of Pathology Vision-Language Models
Vision--language models (VLMs) promise to make computational pathology queryable and able to draft reports, but how much language adds beyond the vision backbone is unclear, because almost every…ProteinGeoBench: Frontier Structural-Biology Agents Are Fluent at Lookup but Lost in Geometry
Frontier agents retrieve structural metadata well and compute geometry from coordinates less reliably.Ontic state recovery through prediction
We encounter a system through its responses, yet its state concerns how the system is.Representing short-term movement to reveal animal identity and learning progress
How learning progresses over time and varies across individuals is a longstanding question in cognitive and behavioral science.Cross-disorder Learning of Imaging-derived Joint Mophometric Markers in Alzheimer's and Parkinson's Diseases
As two most prevalent neurodegenerative diseases (NDDs), Alzheimer's disease (AD) and Parkinson's disease (PD) shared commonalities both in symptomology and pathophysiology.
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