AIMC Journal:
bioRxiv

Showing 1841 to 1850 of 4956 articles

Resting-state fMRI foundation models enable robust and generalizable latent neural target discovery in cognitive aging interventions

bioRxiv Apr 15, 2026
The benefits of interventions targeting cognitive aging vary substantially across individuals, largely owing to heterogeneity in aging-related comorbidities. It is necessary to robustly identify neural patterns underlying intervention response and te...
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Potato yield can be predicted using drone-captured and environmental measurements early in the growing season

bioRxiv Apr 15, 2026
Accurate pre-harvest prediction of crop yield informs variety selection, optimizes management, and accelerates breeding. As potato is the world's leading non-grain staple, here we evaluate a diverse panel of varieties in a three-year field trial acro...
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KyDab - a comprehensive database of antibody discovery selection campaigns.

bioRxiv Apr 15, 2026
Preclinical antibody discovery relies on progressive screening and down-selection of candidate antibodies from large immune repertoires, yet this critical process is poorly represented in existing public databases. Here we introduce KyDab (Kymouse An...
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EVEE: Interpretable variant effect prediction from genomic foundation model embeddings

bioRxiv Apr 15, 2026
Predicting the clinical significance of genetic variants remains a central challenge in genomic medicine, with most observed variants classified as variants of uncertain significance. Here we show that representations from Evo~2, a 7-billion-paramete...
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Community needs for FAIR pathogen data

bioRxiv Apr 15, 2026
Background: Datasets related to infectious diseases are essential for public health decision-making, yet their reuse remains limited by persistent barriers to data sharing and integration. Achieving data that are Findable, Accessible, Interoperable, ...
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TRACE: End-to-end temporal inference and annotation of animal behaviors from video

bioRxiv Apr 15, 2026
Quantitative analysis of animal behavior is fundamental to neuroscience and ethology but remains constrained by the scalability, subjectivity, and limited reproducibility of manual annotation. Most automated approaches infer behavior through predefin...
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A Hybrid Physics-Deep Learning Framework for Combinatorial De Novo Design of Small-Molecule Binding Proteins

bioRxiv Apr 15, 2026
Engineering small-molecule binding proteins de novo remains a significant challenge as even advanced generative models struggle to model the atom-level details of protein-ligand interactions with sufficient accuracy. Higher experimental success rates...
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CROssBARv2: A Unified Computational Framework for Heterogeneous Biomedical Data Representation and LLM-Driven Exploration

bioRxiv Apr 15, 2026
Biomedical discovery is hindered by fragmented, modality-specific repositories and uneven metadata, limiting integrative analysis, accessibility, and reproducibility. To address these challenges, we present CROssBARv2, a provenance-rich biomedical da...
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MetaMuse: A Multi-Agent AI System for Biomedical Metadata Curation and Harmonization

bioRxiv Apr 15, 2026
Inconsistent and unstructured metadata in public biomedical repositories, such as the Gene Expression Omnibus (GEO), severely limits data discoverability and research reproducibility. To address this, we introduce MetaMuse, a modular, multi-agent art...
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U-Probe: universal agentic probe design for imaging-based spatial-omics

bioRxiv Apr 15, 2026
Probe design for fluorescence in situ hybridization (FISH) underpins spatial transcriptomics, three-dimensional genome studies, and clinical diagnostics, yet remains constrained by two challenges: dependence on expert knowledge for parameter selectio...
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