AIMC Topic: Kidney Medulla

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Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Scientific reports Dec 6, 2021
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global health burden. Despite considerable efforts, the underlying mechanisms have not yet been comprehensively understood. In this study, a systematic appr...
Humans Machine Learning Algorithms Animals Male Global Health Drug Design Gene Expression Profiling Gene Regulatory Networks Mice Diabetic Nephropathies Computational Biology Systems Biology Epigenesis, Genetic Signal Transduction Support Vector Machine Cluster Analysis MicroRNAs Regression Analysis Principal Component Analysis Linear Models Chemistry, Pharmaceutical Microarray Analysis Oligonucleotide Array Sequence Analysis Mice, Inbred DBA Kidney Cortex Kidney Medulla
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Differentiating between renal medullary and clear cell renal carcinoma with a machine learning radiomics approach.

The oncologist Feb 6, 2025
BACKGROUND: The objective of this study was to develop and validate a radiomics-based machine learning (ML) model to differentiate between renal medullary carcinoma (RMC) and clear cell renal carcinoma (ccRCC).
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Radiomics Male Middle Aged Diagnosis, Differential Kidney Neoplasms Carcinoma, Renal Cell Kidney Medulla Carcinoma, Medullary
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