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Learning Model Parameter Dynamics in a Combination Therapy for Bladder Cancer from Sparse Biological Data
2025-12-17
In a mathematical model of interacting biological organisms, where external interventions may alter behavior over time, traditional models that assume fixed parameters usually do not capture the evolv...
When sufficiency is insufficient: the functional information bottleneck for identifying probabilistic neural representations
2025-12-17
The neural basis of probabilistic computations remains elusive, even amidst growing evidence that humans and other animals track their uncertainty. Recent work has proposed that probabilistic represen...
Machine learning for RNA-targeting drug design
2025-12-17
Targeting RNA with small molecules offers significant therapeutic potential. Machine learning could substantially accelerate preclinical drug discovery, from hit identification to lead optimization. Y...
Characterizing Open-Ended Evolution Through Undecidability Mechanisms in Random Boolean Networks
2025-12-17
Discrete dynamical models underpin systems biology, but we still lack substrate-agnostic diagnostics for when such models can sustain genuinely open-ended evolution (OEE): the continual production of ...
Modeling Plant Action Potentials under Photoperiod Stress via Hodgkin-Huxley Dynamics
2025-12-17
Plants exhibit dynamic bioelectric properties that facilitate information transfer across tissues. This study investigates action potentials (APs) in Nicotiana tabacum recorded within a custom-designe...
A multiscale framework integrating within-host infection kinetics with airborne transmission dynamics
2025-12-17
Coupling within-host infection dynamics with population-level transmission remains a major challenge in infectious disease modeling, especially for airborne pathogens with potential to spread indoor. ...
Stochastic Modelling and Analysis of Within-Farm Highly Pathogenic Avian Influenza Dynamics in Dairy Cattle
2025-12-17
Highly pathogenic avian influenza (HPAI) has expanded its host range with recent detections in dairy cattle, raising critical concerns regarding within-herd persistence and cross-species spillover. Th...
Linguists should learn to love speech-based deep learning models
2025-12-16
Futrell and Mahowald present a useful framework bridging technology-oriented deep learning systems and explanation-oriented linguistic theories. Unfortunately, the target article's focus on generative...
AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts
2025-12-16
Sleep is essential for good health throughout our lives, yet studying its dynamics requires manual sleep staging, a labor-intensive step in sleep research and clinical care. Across centers, polysomnog...
Temporal interference stimulation for deep brain neuromodulation in humans
2025-12-16
For decades, focal non-invasive neuromodulation of deep brain regions has not been possible because of the steep depth-focality trade-off of conventional non-invasive brain stimulation (NIBS) techniqu...
Spatio-temporal Moran dynamics in continuous media
2025-12-16
Understanding how natural selection unfolds across space and time is a central problem in evolutionary biology. Classic models such as the Moran process capture stochastic birth-death dynamics in stru...
Forecasting Excessive Anesthesia Depth Using EEG α-Spindle Dynamics and Machine Learning
2025-12-16
Objectives. Accurately predicting transitions to anesthetic drugs overdosage is a critical challenge in general anesthesia as it requires the identification of EEG indicators relevant for anticipating...
When many noisy genes optimize information flow
2025-12-16
It often is emphasized that gene expression is noisy. A seemingly contradictory view is that control mechanisms have been optimized to squeeze as much information as possible out of a limited number o...
EXAONE Path 2.5: Pathology Foundation Model with Multi-Omics Alignment
2025-12-16
Cancer progression arises from interactions across multiple biological layers, especially beyond morphological and across molecular layers that remain invisible to image-only models. To capture this b...
Accelerating MHC-II Epitope Discovery via Multi-Scale Prediction in Antigen Presentation
2025-12-16
Antigenic epitope presented by major histocompatibility complex II (MHC-II) proteins plays an essential role in immunotherapy. However, compared to the more widely studied MHC-I in computational immun...
Informing Acquisition Functions via Foundation Models for Molecular Discovery
2025-12-15
Bayesian Optimization (BO) is a key methodology for accelerating molecular discovery by estimating the mapping from molecules to their properties while seeking the optimal candidate. Typically, BO ite...
A Complete Guide to Spherical Equivariant Graph Transformers
2025-12-15
Spherical equivariant graph neural networks (EGNNs) provide a principled framework for learning on three-dimensional molecular and biomolecular systems, where predictions must respect the rotational s...
Neuromodulation-inspired gated associative memory networks:extended memory retrieval and emergent multistability
2025-12-15
Classical autoassociative memory models have been central to understanding emergent computations in recurrent neural circuits across diverse biological contexts. However, they typically neglect neurom...
Altered oscillatory brain networks during emotional face processing in ADHD: an eLORETA and functional ICA study
2025-12-15
Attention-deficit/hyperactivity disorder (ADHD) is characterized by executive dysfunction and difficulties in processing emotional facial expressions, yet the large-scale neural dynamics underlying th...
A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments
2025-12-15
Mental rotation -- the ability to compare objects seen from different viewpoints -- is a fundamental example of mental simulation and spatial world modelling in humans. Here we propose a mechanistic m...