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Integrating machine learning with statistical methods enhances disease risk prediction models
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
New machine learning method: Precise MRI videos despite less measurement data
Scientists at MRI-Lab Graz have produced more precise MRI videos with the help of a new machine learning method and despite ...
New Fingerprint Mass Spec Method Could Solve the Proteome, Say Researchers
Researchers have created a machine-learning technique for accurately measuring individual particle mass using nanoscale ...
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Mechano-spectroscopic AFM technique combines high-res imaging with machine learning classification
As the tiny atomic force microscope probe scans the surface of a sample, it can discern what type of molecule is underneath.
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Machine learning models could alleviate risks posed by cracking and corroding concrete structures, say scientists
Scientists design machine learning models that can say when and why concrete structures start cracking and deteriorating.
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New SOC Model Merges Machine Learning, Kalman Filtering
Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, ...
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New machine learning model finds hate tweeting mainly originates from right-leaning figures
Social media platforms have struggled to accurately detect hate speech, especially given the different definitions and ...
Deep learning illuminates past and future atmospheric blocking events
Atmospheric blocking events are persistent, high-impact weather patterns that occur when large-scale high-pressure systems ...
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Guidelines for using interpretable machine learning methods in computational biology
But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. In a recent ...