Model Board
Each subheading shows the most recent computational models published in each journal or preprint server. As journals publish, this page is autonomously updated and clicking the links will send you to the article.
- ZENO: Nonlinear filtering with Zakai Equation Neural Operators
- TAPESTRY: an interactive resource for exploring tumor-enriched splice junctions in pediatric brain tumors
- Video-rate quantitative phase and polarimetric imaging (QP2I) for label-free imaging of contracting muscle cells
- AI-guided deep visual proteomics reveals recurrence-associated morpho-molecular signatures within triple-negative breast cancers
- HP-GSBS: Accelerating greedy state boundary search with reusable interval statistics
- Detecting absence: A dedicated prediction-error signal emerging in the auditory thalamus
- A Multiscale Kinetic Model of DNA Damage Signalling and Repair under Combined Proton and Nanoparticle Exposure
- Computational De Novo Design of Miniprotein Candidate Neutralizers Targeting the IL-23 Cytokine Subunit p19
- Shared clones make random cell halves look reproducible in pooled screens
- Stochastic predator-prey compartment model with cyclic and non-cyclic transition pathways and mortality
- Modeling and Detecting Downward Causation in Disease Transmission
- Matched Plasma and Tissue Proteomics Reveal the Selective Nature of Circulating Biomarkers of Human Aging
- The Sensitivity of 13C-Metabolic Flux Analysis to Biomass Composition Underscores the Need for Accurate Biomass Formulation in Escherichia coli
- Signal Associa: hot tumors elicit field-spanning NK cell coordination linked to their recruitment
- Inference and validation of causal genetic interactions in aging human fibroblasts
- SMAD3-driven cell state transitions underpin immunoresistance in bladder cancer
- Computational modeling of breast cancer metastases predicts response to dual checkpoint inhibition and reveals spatially-informed treatments
- An Efficient Implicit Tau-Leaping Method for Estimating Second-Order Sensitivities of Stiff Stochastic Biochemical Systems
- Localis-REX: a general protocol for time-resolved spatiofunctional profiling in live cells and C. elegans
- A statistical framework for system-level synthesis
- Exploratory brain-wide analyses predicting binge drinking: A machine learning and targeted causal inference pipeline in two adolescent cohorts
- Parental Dementia History is Associated with Peripheral Immune Aging Rather than Generalized Biological and Brain Age Acceleration in Midlife
- Factors Associated with Stunting, Underweight, and Wasting Among Children Under Five in Bangladesh: Evidence from the MICS 2025 Survey
- Predicting the impact of primaquine on Plasmodium falciparum transmission using multiscale modelling
- Malaria transmission modelling and conditional prevention allocation in Uganda
- Low-to-moderate dose ionizing radiation and cerebrovascular disease mortality in U.S. radiologic technologists, 1983-2021
- Machine Learning-Derived Subtypes of Autism Reveal Distinct Genetic Contributions from Common and Rare Variants
- BMI Deviations from Genetic Prediction Are Associated with Distinct Molecular Signatures in Finnish Population Cohorts
- Mutational signature landscape of pancreatic cancer genomes from nine countries
- Convergent mutational processes in esophageal and junctional adenocarcinomas across eight countries
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- What is the future of genomic foundation models in biological research?
- CAR T cells from code to clinic: Framing modeling approaches with current translational research goals
- Sampling protein language models for functional protein design
- Let there be multifunctionality: Uncovering the dynamical zoo of the AC-DC genetic circuit
- High-throughput cell-free profiling of SARS-CoV-2 RBD variants enables rapid and quantitative in vitro affinity landscape mapping
- Local growth laws determine global shape of molluscan shells
- Learning dissipative chaotic dynamics with boundedness guarantees
- Taylor’s law beyond finite moments: A route to dynamic financial risk
- Generalized Taylor’s law for infinite-mean heavy-tailed data under dependence and heterogeneity
- Mathematical discovery and exploration can be done at scale
- Model topology determines parameter accessibility in Markov models of voltage-gated ion channels
- Evolution of teaching under the incomplete chance of vertical cultural transmission
- Modeling the influence of questing behavior and host accessibility on tick population dynamics
- Optimal scheduling of dengue vector control
- Stationary analysis of adaptive aspiration dynamics in graph-structured games
- A mechanistic learning framework for breast cancer relapse prediction
- A modified predator-prey model involving dual time delays: Bifurcation mechanism and controller design
- A degenerate Fokker-Planck stochastic modeling and simulation of the signaling pathways in esophageal cancer
- Coherent dynamical analysis arising from a stage-structured predator-prey model in a chemostat
- Parkinson’s disease, Gaucher disease, and bistability in the lysosomal degradation pathway
- A computational framework for modeling fluid and solid stressesin porous tissues with application to the trabeculated embryonic heart
- Visuomotor coordination on the road: Low-dimensional representations reveal adaptive, context-dependent reductions in the dimensionality of natural driving behavior
- The evolutionary accessibility of cultural fitness landscapes
- Ten simple rules for responsible use of AI and LLMs in computational biology
- Cell-type dependence of effects from transcranial electric brain stimulation
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- Next-generation metabolic models: From multi-constraint integration to AI-driven whole-cell kinetic simulation
- Unleashing the potential of whole-cell modelling one step at a time
- The evolution of standards in systems biology: From metabolic and multi-scale to whole-cell models
- Next-generation metabolic models: Nonlinear resource allocation beyond the proteome
- Driving biological insight from genome-scale and multiscale to whole-cell modeling
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