ascopubs.org

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 ...
VentureBeat

DeepMind releases Acme, a distributed framework for reinforcement learning algorithm development

VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More DeepMind this week released Acme, a framework intended ...
Wall Street Journal

Google DeepMind Unveils AI System to Discover Faster Algorithms

Researchers at Google DeepMind, the Alphabet-owned artificial-intelligence research lab, announced on Wednesday a new AI system that could make computing more efficient and sustainable. The latest ...
SiliconANGLE

Dell debuts ‘hybrid’ quantum emulation platform for algorithm development

Dell Technologies Inc. engineers recently tested an internally developed emulation platform for running “hybrid” quantum algorithms, which use both quantum circuits and classical computing hardware to ...
Nasdaq

MicroAlgo Inc. Launches Enhanced Quantum Information Hiding and Transmission System Integrating LSQb Algorithm with Quantum Encryption Technology

MicroAlgo Inc. announced the integration of its quantum image LSQb algorithm with quantum encryption technology to create a new system for secure information hiding and transmission. This innovative ...
ascopubs.org

Development and Optimization of a Bladder Cancer Algorithm Using SEER-Medicare Claims Data

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...