🧬 Category

q-bio.QM

47 papers

Modeling the spillover risk of highly pathogenic avian influenza from wild birds to cattle in Denmark: A data-driven risk assessment framework

This paper presents a data-driven quantitative model, calibrated with U.S. spillover data, to assess the weekly probability and spatiotemporal distribution of highly pathogenic avian influenza (H5N1) transmission from wild birds to Danish cattle, identifying coastal and border regions as high-risk areas primarily during winter months to guide targeted surveillance and preparedness.

You Chang, Jose L. Gonzales, Erik Rattenborg, Mart C. M. de Jong, Beate ConradyThu, 12 Ma🧬 q-bio

How to make the most of your masked language model for protein engineering

This paper introduces a flexible stochastic beam search sampling method for masked language models that optimizes protein properties by evaluating entire-sequence neighborhoods, demonstrating through extensive in silico and in vitro antibody engineering experiments that the choice of sampling strategy is at least as critical as the model itself.

Calvin McCarter, Nick Bhattacharya, Sebastian W. Ober, Hunter ElliottThu, 12 Ma🧬 q-bio

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation

This paper introduces Equivariant Asynchronous Diffusion (EAD), a novel model that combines the strengths of auto-regressive and synchronous approaches through an adaptive denoising schedule to effectively capture molecular hierarchy and achieve state-of-the-art 3D molecular conformation generation.

Junyi An, Chao Qu, Yun-Fei Shi, Zhijian Zhou, Fenglei Cao, Yuan QiThu, 12 Ma🧬 q-bio

Multicellular Tumour Spheroids Exposure to Pulsed Electric Field: A Combined Experimental and Mathematical Modelling Study Highlighting Temporal Dynamics of DAMP Release and Accelerated Regrowth at Intermediate Field Intensities

This study combines in vitro experiments and hybrid computational modeling to reveal how pulsed electric field intensity governs the temporal dynamics of damage-associated molecular pattern release and the dual fate of quiescent cells, ultimately driving either tumor suppression or accelerated regrowth in multicellular tumor spheroids.

Emma Leschiera, Nicolas Mattei, Marie-Pierre Rols, Muriel Golzio, Jelena Kolosnjaj-Tabi, Clair PoignardMon, 09 Ma🧬 q-bio

In-batch Relational Features Enhance Precision in An Unsupervised Medical Anomaly Detection Task

This paper proposes an unsupervised medical anomaly detection method that augments CNN autoencoder latent representations with in-batch relational features via hypergraph estimation and graph convolution, significantly improving the separation of healthy anatomical variations from pathologies and reducing false positives on a heterogeneous brain tumor dataset.

P. Bilha Githinji, Xi Yuan, Ijaz Gul, Lian Zhang, Jinhao Xu, Zhenglin Chen, Peiwu Qin, Dongmei YuMon, 09 Ma🧬 q-bio

Privacy-Preserving Collaborative Medical Image Segmentation Using Latent Transform Networks

This paper introduces PPCMI-SF, a privacy-preserving collaborative framework that utilizes client-specific latent transforms and server-side mapping to achieve high-accuracy, real-time medical image segmentation across heterogeneous institutions while effectively resisting inversion and membership inference attacks without sharing raw data.

Saheed Ademola Bello, Muhammad Shahid Jabbar, Muhammad Sohail Ibrahim, Shujaat KhanMon, 09 Ma💻 cs

A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention

This paper introduces AllScAIP, a scalable, attention-based machine-learning interatomic potential that leverages all-to-all node attention to effectively capture long-range interactions and achieve state-of-the-art accuracy across diverse molecular and material systems without relying on explicit physics-based terms.

Eric Qu, Brandon M. Wood, Aditi S. Krishnapriyan, Zachary W. UlissiMon, 09 Ma🔬 cond-mat.mtrl-sci

A Modelling Assessment of the Impact of Control Measures on Simulated Foot-and-Mouth Disease Spread in Mato Grosso do Sul, Brazil

This study demonstrates that while vaccination alone is ineffective against Foot-and-Mouth Disease in Mato Grosso do Sul, Brazil, combining high depopulation capacity with limited vaccination is the optimal strategy, capable of controlling 100% of simulated outbreaks within 10 to 15 days.

Nicolas C. Cardenas, Jacqueline Marques de Oliveira, Andre de Medeiros C. Lins + 7 more2026-03-10🧬 q-bio

Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining

This study proposes a label-free deep learning methodology using autofluorescence imaging to rapidly and accurately differentiate non-small cell lung cancer subtypes and generate clinical-grade virtual immunohistochemical stains, thereby streamlining diagnostic workflows without the need for traditional tissue processing.

Zhenya Zang, David A Dorward, Katherine E Quiohilag + 4 more2026-03-10🧬 q-bio

CAN-STRESS: A Real-World Multimodal Dataset for Understanding Cannabis Use, Stress, and Physiological Responses

This paper introduces CAN-STRESS, a publicly available multimodal dataset comprising physiological data from Empatica E4 wristbands and self-reported surveys from 82 participants, designed to investigate the distinct physiological stress responses of cannabis users compared to non-users in real-world settings.

Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah + 4 more2026-03-10🧬 q-bio