Quantitative Methods (Biology)
Mathematical and computational methods applied to biological systems.
q-bio.QM · 137 papersNon-Monotone Response Modules and Cascades from the EML Operator for Reduced Models of Biological Dynamics
A new EML operator enables single-block non-monotone response modules for reduced biological models, efficiently capturing complex dynamics like overshoot.
Longitudinal QSM: Enhancing consistency of multiple time point susceptibility maps via simultaneous reconstruction
Longitudinal QSM is a new simultaneous reconstruction method that improves the consistency and accuracy of susceptibility maps over multiple time points.
Label-Free Microrefractometry of Interfacial Processes Using Fluorescent Smart Coverslips
A new label-free microrefractometry method uses fluorescent smart coverslips to monitor interfacial processes and thin films in real-time.
How Light Reshapes the Mind. An Active Inference Framework for the Cognitive and Emotional Effects of Indoor Lighting
This paper proposes an active inference framework explaining how indoor lighting affects cognition, emotion, and behavior through three distinct channels.
Reconstruction of glymphatic transport fields from subject-specific imaging data, with particular emphasis on cerebrospinal fluid flow and tracer conservation
This paper presents a computational framework to reconstruct physically valid glymphatic transport fields from imaging data, ensuring mass conservation.
Co-Generative De Novo Functional Protein Design
CodeFP is a co-generative protein language model that designs functional proteins by simultaneously decoding sequence and structure, improving functionality and foldability.
Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
Unbalanced Schrödinger Bridge (USB) reconstructs discrete branching cell dynamics from snapshots, integrating stochastic and birth-death events.
Reduced-Precision Stochastic Simulation for Mathematical Biology
Reduced-precision stochastic simulation (SSA) with mixed precision and stochastic rounding accelerates biological simulations without losing accuracy.
A Universal Space of Brain Dynamics for Unveiling Cognitive Transitions and Individual Differences
UBD offers a universal space for brain dynamics, predicting fMRI and unveiling cognitive transitions and individual differences.
LNODE: latent dynamics reveal the shared spatiotemporal structure of amyloid-$β$ progression
LNODE is a neural ODE model that uses latent dynamics to reveal shared spatiotemporal amyloid-beta progression, improving AD biomarker analysis.
From Birdsong to Rumbles: Classifying Elephant Calls with Out-of-Species Embeddings
Pretrained out-of-species acoustic embeddings effectively classify elephant calls, nearly matching supervised methods without fine-tuning.
Linking spatial biology and clinical histology via Haiku
Haiku is a tri-modal contrastive learning model that integrates spatial proteomics, histology, and clinical data for improved biomedical analysis.
Universal Nano-Bead Emitter Inks for Programmable Nanometric Fluorescent Architectures
Universal Nano-Bead Emitters (NBEs) are a new water-processable ink for printing programmable, ultra-thin fluorescent architectures with precise control.
EPITIME: A Computational Framework for Integral Epidemic Models with Structure-Preserving Discretizations
EPITIME is a computational framework for integral epidemic models using structure-preserving discretizations, ensuring accurate simulations.
Better Models, Faster Training: Sigmoid Attention for single-cell Foundation Models
Sigmoid attention improves single-cell foundation models by providing better representations, faster training, and enhanced stability compared to softmax.
Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction
A benchmark reveals that larger AI models do not universally outperform compact, specialized models in molecular property and activity prediction for drug discovery.
A Thermodynamic Analysis of Enhanced Metastability in Isochoric Supercooled Liquids
This paper thermodynamically proves that isochoric conditions enhance supercooling stability by reducing the driving force for solidification, suppressing nucleation.
Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time
ObsNODEs enable identifiable causal forecasting in continuous-time settings by ensuring latent state observability, even with hidden confounders.
PhyloSDF: Phylogenetically-Conditioned Neural Generation of 3D Skull Morphology via Residual Flow Matching
PhyloSDF generates realistic 3D biological shapes, like skulls, by integrating phylogenetic conditioning and a novel Residual Flow Matching.
On a Keller-Segel type equation to model Brain Microvascular Endothelial Cells growth's patterns
This paper introduces a Keller-Segel type PDE to model and understand brain microvascular growth patterns, providing mathematical insights.
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.