AACR: New platform uses machine learning to predict responses in patients with lung cancer

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

A deep learning pathomics platform may help predict response to immunotherapy in lung cancer patients

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

Redis Introduces Redis Feature Form, an Enterprise Feature Store for Production Machine Learning

Redis, the world’s fastest data platform, today announced Redis Feature Form, a managed feature store platform built to help enterprise ML teams bring features into production with more control, ...
Devdiscourse

High-accuracy AI models improve IoT threat detection

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...
Devdiscourse

AI can’t deliver climate gains without strong governance and capacity building

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...
Frontiers

Quantifying the driving force of urban morphologies on canopy urban heat island: a machine learning approach with educational application

This study quantifies the nonlinear driving force of urban morphological factors on canopy urban heat island intensity (CUHII) in Anhui Province, integrating relocated meteorological station data, ...
ascopubs.org

Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...