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Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer
shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
Machine learning algorithm brings long-read sequencing to the clinic
Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...
MicroAlgo Inc. Researches Quantum Machine Learning Algorithms to Accelerate Machine Learning Tasks
Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical ...
eWeek8mon
Generative AI vs Machine Learning: Key Differences and Use Cases
Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element.
Science Daily5mon
New algorithm boosts multitasking in quantum machine learning
They published their new study in the journal Machine Learning ... This development represents a significant advancement in quantum computing. "The multi-target quantum compilation algorithm ...
AI can assess infant brain maturity in minutes
Machine-learning algorithms can now estimate the "brain age" of infants with unprecedented precision by analyzing electrical ...