bioRxiv

Showing 4821 to 4830 of 5021 articles

Using artificial intelligence to optimize ecological restoration for climate and biodiversity

bioRxiv Jan 1, 2025
The restoration of degraded ecosystems is critical for mitigating climate change and reversing biodiversity loss. Depending on the primary objective – such as maximizing carbon sequestration or protecting threatened species – and within the boundarie...
View on bioRxiv DOI

A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study

bioRxiv Jan 1, 2025
Precision oncology aims to guide treatment decisions using biomarkers. While DNA-based panels are increasingly applied, RNA transcriptomics remain underused due to limited datasets and the absence of robust models. We assembled the largest transcript...
View on bioRxiv DOI

Large-scale synthetic data enable digital twins of human excitable cells

bioRxiv Jan 1, 2025
Individual variability shapes how diseases manifest, how patients respond to therapy, and how rare phenotypes arise. Conventional experimental approaches obscure variation by averaging, which limits mechanistic insight and predictive accuracy. We pre...
View on bioRxiv DOI

An Enhanced Variant-Aware Deep Learning Model for Individual Gene Expression Prediction

bioRxiv Jan 1, 2025
Accurate prediction of gene expression from individual whole-genome sequences is critical for understanding disease mechanisms and advancing precision medicine. Current methods, however, struggle with individual-specific genetic variations and integr...
View on bioRxiv DOI

Generalizing Drift Diffusion Models with a State-Dependent Framework

bioRxiv Jan 1, 2025
Decision-making in natural environments often involves a trade-off between speed and accuracy, particularly in high-stakes scenarios like predator-prey interactions. Drift Diffusion Models (DDMs) have been used extensively to study speed-accuracy tra...
View on bioRxiv DOI

Integrating Genomics into Multimodal EHR Foundation Models

bioRxiv Jan 1, 2025
This paper introduces an innovative Electronic Health Record (EHR) foundation model that integrates Polygenic Risk Scores (PRS) as a foundational data modality, moving beyond traditional EHR-only approaches to build more holistic health profiles. Lev...
View on bioRxiv DOI

LSTM-Attention-Guided Graph Neural Networks for Integrated Genotype–Environment Modeling in Maize Yield Prediction

bioRxiv Jan 1, 2025
We present a deep-learning framework that combines an LSTM, a graph neural network (GNN), and transformer-style attention to model genotype–environment (G × E) effects for maize yield prediction. Weather data for a growing season is summarized using ...
View on bioRxiv DOI

Lightweight open-source fine-tuning of SAM2 enables domain-specific microscopy segmentation

bioRxiv Jan 1, 2025
Quantitation of structures is a critical step in analyzing images. Automated segmentation of biological samples remains a central challenge in microscopy, where variations in signal/noise, intensity, texture, and edges hinder accurate delineation of ...
View on bioRxiv DOI

USP-ddG: A Unified Structural Paradigm with Data Efficacy and Mixture-of-Experts for Predicting Mutational Effects on Protein-Protein Interactions

bioRxiv Jan 1, 2025
Accurately estimating changes in binding free energy (ΔΔG) is essential for understanding protein-protein interactions (PPIs) and guiding rational protein design. Existing deep learning approaches benefit from pre-training on large structural dataset...
View on bioRxiv DOI

Morphology-Guided Deep Learning for Nanoparticle Agglomeration Diagnostic Assays

bioRxiv Jan 1, 2025
Affordable, accurate, and rapid point-of-care diagnostic tests remain elusive due to inherent trade-offs between performance and cost. Conventional nucleic acid tests offer high sensitivity but require complex, expensive steps such as amplification a...
View on bioRxiv DOI
Popular Topics
Popular Journals