AIMC Topic: Humans

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Biomarkers and therapeutic strategies targeting microglia in neurodegenerative diseases: current status and future directions.

Molecular neurodegeneration
Recent advances in our understanding of non-cell-autonomous mechanisms in neurodegenerative diseases (NDDs) have highlighted microglial dysfunction as a core driver of disease progression. Conditions such as Alzheimer's disease (AD), amyotrophic late...

Application progress of machine learning in patient-ventilator asynchrony during mechanical ventilation: a systematic review.

Critical care (London, England)
INTRODUCTION: Patient-ventilator asynchrony (PVA) is a common and harmful complication during mechanical ventilation, often requiring labor-intensive manual assessment. Machine learning (ML) offers a promising approach for automated and accurate PVA ...

Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer.

Journal of translational medicine
BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy has significant clinical utility in the management of breast cancer treatment. Although multimodal deep learning models have shown promise for predict...

Feasibility study of using GPT for history-taking training in medical education: a randomized clinical trial.

BMC medical education
BACKGROUNDS: Traditional methods of teaching history-taking in medical education are limited by scalability and resource intensity. This study aims to assess the effectiveness of simulated patient interactions based on a custom-designed Generative Pr...

Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025.

BMC medical informatics and decision making
BACKGROUND: Adherence with Anti-Retroviral Therapy (ART) reduces viral load, as well as HIV-related morbidity and mortality. Despite the expanded availability of ART, non-adherence remains a series problem, leads increased viral load, a decline CD4 c...

Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome.

BMC microbiology
Hyperuricemia (HUA) and gout result from imbalances in uric acid metabolism and are closely associated with the gut microbiota. Advanced analytical methods facilitate the exploration of microbiota complexity. In this study, 16S rRNA sequencing data f...

EDRMM: enhancing drug recommendation via multi-granularity and multi-attribute representation.

BMC bioinformatics
BACKGROUND: Drug recommendation is a crucial application of artificial intelligence in medical practice. Although many models have been proposed to solve this task, two challenges remain unresolved: (i) most existing models use all historical visits ...

FF Swin-Unet: a strategy for automated segmentation and severity scoring of NAFLD.

BMC medical imaging
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a significant risk factor for liver cancer and cardiovascular diseases, imposing substantial social and economic burdens. Computed tomography (CT) scans are crucial for diagnosing NAFLD and ass...