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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 35
Active Visual Semantics: A large-scale MEG and eye-tracking dataset for understanding visual intelligence in action
Here we present the Active Visual Semantics (AVS) dataset, a large-scale collection of magnetoencephalography (MEG) and eye-tracking data recorded while five participants freely explored 4,080…Cell size and confinement drive asymmetric cell division through a cortical instability
Asymmetric cell division -- in which a mother cell divides into two daughter cells of unequal size -- is a fundamental problem in biology.Simulating Continuous-Rotation 3D Electron Diffraction: A Multislice and Bloch Wave Framework
To improve the agreement between measured and calculated intensities of three-dimensional electron diffraction (3D ED) experiments, a simulation pipeline is needed to assess and quantify the…EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection
We propose EEG-VID, a task-guided latent predictive pretraining framework for EEG decoding under session and subject shifts.Operationalizing open-ended biological discovery across single-cell representations
Single-cell studies are typically initiated from predefined research questions, leaving much of the biological information encoded within existing data unexplored.Learning Task-Specific Antibody Representations via Function-Aware Masking
Antibody-specific language models pretrained via masked language modeling (MLM) learn representations that are critical for downstream sequence design and property prediction tasks.BME-like Quartet Weights for Phylogenetic Trees
Like pairwise distances, quartets can be highly redundant and correlated on a phylogenetic tree, and their number grows on the order of n^4 rather than n^2.Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation
BioMedRAG introduced retrieval-augmented generation with a learned chunk scorer for biomedical information extraction.Responsible Integration of AI in Cancer Genomics: Barriers, Risks, and Pathways to Trustworthy Clinical Translation
Artificial intelligence (AI) and natural language processing (NLP) are increasingly used to extract, integrate, and interpret biomedical knowledge relevant to cancer genomics, yet their translation…Using Prosody to Predict Syntactic Structure
While it is well-established that prosody carries crucial cues for syntactic structure, the degree and nature of correspondence between these two domains remains contested.An Agentic Retrobiosynthesis Framework with Learned Frontier Selection
Large language models are increasingly used as agents for multistep retrosynthesis, raising the question of how much their search policy contributes independently of the underlying reaction model.Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition
Obtaining data from neuromorphic sensors and processing it with Spiking Neural Networks is a promising solution to lower the energy cost of artificial intelligence.Opinionated, Hesitant and Stressed: Three Studies of How Politicians Speak in Four Slavic Parliaments
We present three large-scale studies of spoken parliamentary speech across four Slavic languages (Croatian, Czech, Polish, Serbian), drawing on over 6,000 hours from the ParlaSpeech 3.0 corpus.Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts
Peptide-protein affinity models are often evaluated with a single data split, obscuring whether they interpolate among measurements for observed targets or generalize across peptide or target shifts.Role of self-coherence in single-electron phase contrast imaging
The extension of coherent lattice contrast into the energy loss region in high-resolution transmission electron microscopy (HRTEM) is described by a pulse-like electron-sample interaction in the…Moiré-induced lattice reconstruction at buried atomic interfaces
Atomic reconstruction at twisted two-dimensional interfaces governs many of their emergent optical, electronic, and mechanical properties, including sliding ferroelectricity.Quantitative Evidence Mining for Plausibility-Aware Biomedical AI: A Narrative Review and Conceptual Framework
Biomedical artificial intelligence is moving from literature retrieval toward evidence synthesis for knowledge graphs, clinical decision support, and computational models.AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA
Path-finding over knowledge graphs has become an effective way to ground LLM reasoning on multi-hop questions."More Is Different'' in Neural Circuits: Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks
Canonical neural circuit motifs are usually described functionally: divisive normalization rescales population activity by a pooled signal, and winner-take-all competition selects one pattern…Clustering based magnetic assays for SARS-CoV-2 detection with scFv-functionalized magnetic nanoparticles
Magnetic nanoparticles (MNP) can be used in magnetic immunoassays (MIA) by functionalizing them with antibodies.
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