Reimagine Care today announced the expansion of its AI-enabled virtual oncology care program with Moffitt Cancer Center, building on early outcomes during an initial implementation phase related to ...

Initial phase shows sustained patient engagement, reduced acute care utilization and a scalable approach to delivering continuous cancer care beyond the clinic Reimagine Care today announced the ...

Marc Lore, the veteran e-commerce entrepreneur who sold his previous startups to Amazon and Walmart, has big plans to infuse AI into his current venture, Wonder. The centerpiece of those plans is ...

eLuminous Technologies developed a scalable, ML-powered price prediction platform for a Texas-based industrial equipment trading company. Using Python, web scraping, and advanced algorithms, the ...

Bioinspired auxetic triboelectric nanogenerator utilizes negative Poisson’s ratio to resolve interfacial mechanical mismatch. A “conformal self-adaptation” mechanism via synclastic curvature maximizes ...

Many people assume nested virtualization isn’t supported on all instances because the documentation often groups different instance variants under broader families like M8i. However, the tech behind ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

(a) Conventional neuron models used in reservoir computing. Artificial neural networks (ANNs) comprise of neuron models that sum up weighted inputs, filter the value through an activation function, ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

A combined pipeline of advanced feature selection plus supervised/ensemble classifiers improved CKD risk prediction compared with using raw variables without tuning. Hemoglobin ranked among the most ...