The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Clinical Interchangeability of PD-L1 Immunohistochemistry Assays in First-Line Non–Small Cell Lung Cancer Management With Cemiplimab Internal iliac and obturator lymph nodes are common sites of ...
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Predicting Avian Flu Outbreaks in Europe Using Machine Learning
Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be ...
A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans. The machine learning ...
This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...
A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...
A new study published in Applied Sciences (MDPI) demonstrates how artificial intelligence can accurately predict carbon ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
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Electrohydrodynamics pump and machine learning enable portable high-performance excimer laser
Liang Xu from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed an ultra-compact ...
A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...
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