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Coupling relationship between glucose and oxygen metabolisms to serve as an imaging biomarker for Alzheimer’s disease

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Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning

1 day ago

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A diffusion model for inertial based time series generation on scarce data availability to improve human activity recognition

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Constructing a prognostic model for osteosarcoma based on centrosome-related genes and identifying potential therapeutic targets of paclitaxel

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Exploring potential diagnostic markers and therapeutic targets for type 2 diabetes mellitus with major depressive disorder through bioinformatics and in vivo experiments

1 day ago

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Urine metabolite profiling in Indian males exposed to high-altitude: a longitudinal pilot study

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SpectroFusionNet a CNN approach utilizing spectrogram fusion for electric guitar play recognition

1 day ago

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Digital twins for the era of personalized surgery

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Research on agricultural disease recognition methods based on very large Kernel convolutional network-RepLKNet

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Clinical characterization of CCT2 and its role in autophagy regulation during age-related macular degeneration

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Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification

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Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy

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Computational biology and bioinformatics : nature.com subject feeds

Latest posts

Coupling relationship between glucose and oxygen metabolisms to serve as an imaging biomarker for Alzheimer’s disease

Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning

A diffusion model for inertial based time series generation on scarce data availability to improve human activity recognition

Constructing a prognostic model for osteosarcoma based on centrosome-related genes and identifying potential therapeutic targets of paclitaxel

Exploring potential diagnostic markers and therapeutic targets for type 2 diabetes mellitus with major depressive disorder through bioinformatics and in vivo experiments

Urine metabolite profiling in Indian males exposed to high-altitude: a longitudinal pilot study

SpectroFusionNet a CNN approach utilizing spectrogram fusion for electric guitar play recognition

Digital twins for the era of personalized surgery

Research on agricultural disease recognition methods based on very large Kernel convolutional network-RepLKNet

Clinical characterization of CCT2 and its role in autophagy regulation during age-related macular degeneration

Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification

Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy

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