AIMC Journal:
bioRxiv

Showing 291 to 300 of 4935 articles

Predicting Endometriosis Status and Menstrual Cycle Phase Using DNA Methylation

bioRxiv Sep 7, 2026
Endometriosis is a chronic inflammatory disease associated with pelvic pain, infertility, and delayed diagnosis. Growing evidence suggests that altered DNA methylation contributes to disease development and could serve as a biomarker for disease. We ...
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Learning from tandem mass spectra at scale with a self-supervised foundation model for proteomics

bioRxiv Sep 7, 2026
Mass spectrometry-based proteomics increasingly relies on machine learning, yet existing models are trained for defined supervised tasks such as peptide identification, de novo sequencing or fragment intensity prediction, limiting transfer across dat...
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Computer vision-aided locomotor behavioral analysis identifies therapeutic motor signatures in a mouse model of Huntington disease

bioRxiv Sep 7, 2026
Huntington disease (HD) is a neurodegenerative disorder characterized by progressive motor dysfunction. Traditional open-field tests quantify spontaneous locomotor parameters; however, fine mouse motor signatures, particularly disease stage-specific ...
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A physics-informed hybrid deep learning model for spatiotemporal rice disease prediction using multi-source data

bioRxiv Sep 7, 2026
Accurate, reliable, large-scale disease predictions are essential to ensure rice production. Existing disease prediction models often face a trade-off between interpretability and predictive capability, necessitating the integration of mechanistic kn...
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Real Science Is Harder Than Benchmarks: Evaluating Advanced AI Frameworks on Published Studies. II. Antibody Properties, Lipid-RNA Interactions

bioRxiv Sep 7, 2026
Artificial Intelligence (AI) frameworks for automating scientific research have shown strong performance on benchmarks, but their utility for real-world industrial research remains insufficiently characterized. Extending the analysis presented in the...
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Continuous monitoring of deficit irrigation in avocado across two contrasting rainfall years using sensor networks, telemetry, and machine learning

bioRxiv Sep 7, 2026
Water scarcity and increasingly irregular rainfall threaten avocado production in Mediterranean regions, yet the long term physiological responses of mature trees to sustained deficit irrigation remain poorly understood. We conducted a two-year field...
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BOTANIC-1: a series of long-context plant genomic foundation models in the agentic era

bioRxiv Sep 7, 2026
The development of climate-resilient crops would be greatly accelerated by models able to reason directly over plant genomic sequences and to pinpoint trait-associated regions or loci. Anticipating the impact of DNA base changes (variants) remains ch...
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Contextualizing Pan-Tropical Allometric Models for Biomass Estimation

bioRxiv Sep 7, 2026
Allometric Models (AMs) play a central role in monitoring and mitigating climate change as they provide accurate estimation of biomass and carbon sequestered by trees from nonAllometric Models (AMs) play a central role in monitoring and mitigating cl...
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MorphoNavigator-3D: Generalizable single-cell phenotyping of cancer spheroids using Bayesian-optimized deep-learning workflows

bioRxiv Sep 6, 2026
Accurate quantification of drug responses in 3D tumor-immune co-cultures remains challenging because complex spatial architecture and cellular heterogeneity limit the interpretability of bulk viability assays. Here, we present MorphoNavigator-3D ('Mo...
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PanScreen: A Comprehensive Approach to Off-Target Liability Assessment

bioRxiv Sep 6, 2026
Drug development projects are getting increasingly more expensive while their success rate is stagnating. Safety issues attributed to off-target binding represent a major reason for the failure of new drugs. Besides desired on-target binding, small m...
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