Ciencias de la vida

Robustness of Boolean networks to update modes: an application to hereditary angioedema

- Many familial diseases are caused by genetic accidents, which affect both the genome and its epigenetic environment, expressed as an interaction graph between the genes as that involved in one...

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts

- Molecule discovery is a pivotal research field, impacting everything from medicine to materials. Recently, Large Language Models (LLMs) have been widely adopted in molecular understanding and...

Accuracy Improvement of Cell Image Segmentation Using Feedback Former

- Semantic segmentation of microscopy cell images by deep learning is a significant technique. We considered that the Transformers, which have recently outperformed CNNs in image recognition, could...

Learning biophysical models of gene regulation with probability flow matching

- Cellular differentiation is governed by gene regulatory networks, the high-dimensional stochastic biochemical systems that determine the transcriptional landscape and mediate cellular responses to...

A multi-stage soft computing framework for complex disease modelling and decision support: A liver cirrhosis case study

- Liver cirrhosis is a major global health problem causing millions of deaths annually, and timely detection with aggressive treatment can significantly improve patients' quality of life. Modelling...

Recursive Multi-Agent Systems

- Recursive or looped language models have recently emerged as a new scaling axis by iteratively refining the same model computation over latent states to deepen reasoning. We extend such scaling...

ADEMA: A Knowledge-State Orchestration Architecture for Long-Horizon Knowledge Synthesis with LLMAgents

- Long-horizon LLM tasks often fail not because a single answer is unattainable, but because knowledge states drift across rounds, intermediate commitments remain implicit, and interruption fractures...

PSI-Bench: Towards Clinically Grounded and Interpretable Evaluation of Depression Patient Simulators

- Patient simulators are gaining traction in mental health training by providing scalable exposure to complex and sensitive patient interactions. Simulating depressed patients is particularly...

Emotive Architectures: The Role of LLMs in Adjusting Work Environments

- In remote and hybrid work contexts, the integration of physical and digital environments is revolutionizing spatial experiences, collaboration, and interpersonal interactions. This study examines...

From Chatbots to Confidants: A Cross-Cultural Study of LLM Adoption for Emotional Support

- Large Language Models (LLMs) are increasingly used not only for instrumental tasks, but as always-available and non-judgmental confidants for emotional support. Yet what drives adoption and how users...

Complex-Vector Power and Cross-Phase Unbalance in Three-Phase Systems

- Unbalanced three-phase systems still lack a compact phasor-domain representation of power that makes phase asymmetry explicit while remaining consistent with established apparent-power definitions....

Central Limit Theorem for Mutation Systems

- DNA-based storage has emerged as a promising alternative to traditional data storage methods, offering unmatched advantages in data density, longevity, and sustainability. Two main approaches have...

Visual Boosting Techniques for Spatiotemporal Dense Pixel Visualizations

- The analysis of spatiotemporal data is essential in domains such as epidemiology and environmental monitoring, where understanding the interplay between spatially distributed phenomena and their...

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation

- A multilingual collection may contain useful knowledge in other languages to supplement and correct the facts in the original language for Retrieval-Augmented Generation (RAG). However, the vanilla...

Diagnosis, Bad Planning & Reasoning. Treatment, SCOPE -- Planning for Hybrid Querying over Clinical Trial Data

- We study clinical trial table reasoning, where answers are not directly stored in visible cells but must be reasoned from semantic understanding through normalization, classification, extraction, or...

Analyzing LLM Reasoning to Uncover Mental Health Stigma

- While large language models (LLMs) are increasingly being explored for mental health applications, recent studies reveal that they can exhibit stigma toward individuals with psychological conditions....

BenchGuard: Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks

- As benchmarks grow in complexity, many apparent agent failures are not failures of the agent at all - they are failures of the benchmark itself: broken specifications, implicit assumptions, and rigid...

Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora

- Reliably transferring specialized human knowledge from text into large language models remains a fundamental challenge in artificial intelligence. Fine-tuning on domain corpora has enabled...

Generative diffusion models for spatiotemporal influenza forecasting

- Forecasting infectious disease incidence can provide important information to guide public health planning, yet is difficult because epidemic dynamics are complex. Current mechanistic and statistical...

Digital Twins in Coronary Artery Disease: A Mathematical Roadmap

- The combination of data and models, enhanced by AI methodologies, leads to the paradigm called Digital Twins. This concept is expected to bring unprecedented support to personalized medicine. The...

A cautious approach to constraint-based causal model selection

- We study the data-driven selection of causal graphical models using constraint-based algorithms, which determine the existence or non-existence of edges (causal connections) in a graph based on...