AIMC Topic: Precision Medicine
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Personalized medication recommendations for Parkinson's disease patients using gated recurrent units and SHAP interpretability.
Scientific reports
May 30, 2025
Managing Parkinson's disease (PD) through medication can be challenging due to varying symptoms and disease duration. This study aims to demonstrate the potential of sequence-by-sequence algorithms in recommending personalized medication combinations...
Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans using healthcare data from the CLHLS database.
Frontiers in public health
May 30, 2025
INTRODUCTION: With the increasing aging population, there is a growing need for precise and intelligent health management solutions tailored to older adult individuals. This study proposes a comprehensive digital health management platform that integ...
PRP: pathogenic risk prediction for rare nonsynonymous single nucleotide variants.
Human genetics
May 29, 2025
Reliable prediction of pathogenic variants plays a crucial role in personalized medicine, which aims to provide accurate diagnosis and individualized treatment using genomic medicine. This study introduces PRP, a pathogenic risk prediction for rare n...
Radiomics applications in the modern management of esophageal squamous cell carcinoma.
Medical oncology (Northwood, London, England)
May 27, 2025
Esophageal cancer ranks among the most lethal malignancies globally, with China accounting for more than half of worldwide esophageal squamous cell carcinoma (ESCC) cases. Late-stage diagnosis frequently precludes surgical intervention, contributing ...
China Protocol for early screening, precise diagnosis, and individualized treatment of lung cancer.
Signal transduction and targeted therapy
May 27, 2025
Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the tumor stage remains the most dominant factor that affects patient survival. Previous initiatives have tried to develop new tools for decision-making o...
Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.
Frontiers in immunology
May 27, 2025
BACKGROUND: Breast cancer (BC) remains a leading cause of cancer-related mortality among women worldwide. Natural killer (NK) cells play a crucial role in the innate immune system and exhibit significant anti-tumor activity. However, the role of NK c...
Multiomics in Renal Cell Carcinoma: Current Landscape and Future Directions for Precision Medicine.
Current urology reports
May 26, 2025
PURPOSE OF REVIEW: Renal cell carcinoma (RCC) is a prevalent and increasingly diagnosed malignancy associated with high mortality and recurrence rates. Traditional diagnostic and therapeutic approaches have limitations due to the disease's molecular ...
The development of predictive biomarkers and immunologic markers for breast cancer: current status and future perspectives.
Brazilian journal of biology = Revista brasleira de biologia
May 26, 2025
Breast cancer is the leading cause of cancer-related mortality among women worldwide. The development of predictive biomarkers and immunologic markers has revolutionized breast cancer diagnosis and treatment, enabling personalized medicine approaches...
Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.
International journal of molecular sciences
May 23, 2025
Liquid biopsy has gained attention in oncology as a non-invasive diagnostic tool, offering valuable insights into tumor biology through the analysis of circulating nucleic acid (cfDNA and cfRNA), circulating tumor cells (CTCs), extracellular vesicles...
Personalized cardiometabolic care powered by artificial intelligence.
Frontiers in endocrinology
May 23, 2025
Advancements in artificial intelligence (AI) are providing a wealth of opportunities for improving clinical practice and healthcare delivery. It is predicted by AI experts that healthcare will change more in the next decade than it has in the previou...
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