Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...
FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
8don MSN
AI model developed by OUTR, Saudi Univ researchers predicts liver disease with 95.49% accuracy
Researchers from Odisha and Saudi Arabia have developed a hybrid AI model achieving 95.49% accuracy in predicting liver disease. This innovative tool, combining deep learning and boosting, promises ...
A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...
Global Artificial Intelligence in Medical Diagnostics Market OverviewThe global artificial intelligence in medical diagnostics market is poised to witness robust growth at an estimated rate of around ...
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