Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...
Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment,, researchers in China have ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...
Distractify on MSN
Beyond models: How Nagasasidhar Arisenapalli uses MLOps to turn AI into real-world impact
Arisenapalli’s career trajectory, from entry-level engineer to Director of Software Engineering, reflects a consistent focus ...
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