AI Medical Compendium

Enhancing classification accuracy in medical datasets using a hybrid distance and cluster refinement-based K-means clustering method.

Scientific reports Jan 25, 2026

Machine learning methods, especially the K_Means clustering method, have demonstrated potential in analyzing medical data by facilitating pattern detection. However, the classic K_Means algorithm suffers from two major limitations: (1) its reliance o... read more

Exploration of neutrophil-associated genes in the prognosis of bladder urothelial carcinoma based on a machine learning and multi-omics data integration framework.

Human genomics Jan 25, 2026

Underwater acoustic vector DOA estimation in hybrid noise environments based on sparsely-gated mixture-of-experts mechanism.

Scientific reports Jan 25, 2026

Conventional direction-of-arrival (DOA) estimation methods generally rely on the white Gaussian noise assumption, making them ineffective in hybrid noise scenarios. This paper proposes a deep neural network based on sparsely-gated mixture-of-experts ... read more

Machine learning-driven dynamic prognosis for primary colorectal lymphoma.

Scientific reports Jan 25, 2026

Quantum kernel methods for marketing analytics with convergence theory and separation bounds.

Scientific reports Jan 25, 2026

MPPT algorithms for grid-connected solar systems including deep learning approaches.

Scientific reports Jan 25, 2026

From Promise to Practice: Leveraging Artificial Intelligence to Accelerate Equitable Access to Cancer Screening.

Public health reports (Washington, D.C. : 1974) Jan 25, 2026

Brain-Inspired Reservoir Computing with Dynamic Memristors for Audio-Visual Emotion Recognition.

ACS applied materials & interfaces Jan 25, 2026

The rapid growth of edge artificial intelligence (AI) and the escalating computational demands of multimodal perception systems accentuate the bottlenecks of von Neumann architecture and the high costs of training. Therefore, to streamline system con... read more

Comprehensive Curation and Harmonization of Small-Molecule MS/MS Libraries in Spectraverse.

Analytical chemistry Jan 25, 2026

Reference libraries of tandem mass spectra (MS/MS) are widely used for metabolite identification in untargeted metabolomics and to train machine-learning models for metabolite annotation. However, public spectral libraries are scattered across dispar... read more

Microbiome-Based Modeling of CAR-T Therapy Response in Lymphoma: Insights From Shotgun Metagenomics Sequencing.

European journal of haematology Jan 25, 2026

The interplay between the commensal microbiota and the mammalian immune system may influence the outcomes of T cell-driven cancer immunotherapies. However, clinical studies supporting microbiota-based interventions in chimeric antigen receptor T-cell... read more

Artificial Intelligence Medical Compendium

Enhancing classification accuracy in medical datasets using a hybrid distance and cluster refinement-based K-means clustering method.

Exploration of neutrophil-associated genes in the prognosis of bladder urothelial carcinoma based on a machine learning and multi-omics data integration framework.

Underwater acoustic vector DOA estimation in hybrid noise environments based on sparsely-gated mixture-of-experts mechanism.

Machine learning-driven dynamic prognosis for primary colorectal lymphoma.

Quantum kernel methods for marketing analytics with convergence theory and separation bounds.

MPPT algorithms for grid-connected solar systems including deep learning approaches.

From Promise to Practice: Leveraging Artificial Intelligence to Accelerate Equitable Access to Cancer Screening.

Brain-Inspired Reservoir Computing with Dynamic Memristors for Audio-Visual Emotion Recognition.

Comprehensive Curation and Harmonization of Small-Molecule MS/MS Libraries in Spectraverse.

Microbiome-Based Modeling of CAR-T Therapy Response in Lymphoma: Insights From Shotgun Metagenomics Sequencing.

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Artificial Intelligence Medical Compendium

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