The American Journal of Managed Care

Machine Learning Models Flag Nonobese MASLD Using Routine Blood Tests

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.
Nature

Machine learning articles from across Nature Portfolio

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...
BIOENGINEER

Machine learning models predict severe chemotherapy-induced neutropenia in breast cancer using only pre-treatment data

Machine learning models built only from pre-chemotherapy data predicted severe neutropenia in breast cancer patients with ...
European Medical Journal

Machine Learning Shows Promise for Alzheimer’s Classification

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...
BIOENGINEER

Machine Learning Outperforms Design Codes at Predicting Concrete Crack Spacing

Extremely randomized trees models trained on 96 experimental records predicted primary crack spacing in reinforced concrete ...

Hummingbird Acquires Quantimon to Bring Machine Learning to AML Transaction Monitoring for the Agentic Era

Hummingbird, the AI-powered orchestration platform for financial crime compliance, today announced the acquisition of Quantimon, the machine learning platform for AML risk detection. The acquisition ...
The American Journal of Managed Care

Machine Learning Has High Accuracy, Little Prospective Validation in MPNs

AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...
News-Medical.Net

Machine learning models predict common cancer risks using routine health data

Machine learning models using routinely collected health information, such as blood tests, medical history and lifestyle ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
The Wall Street Journal

At Capital One, Enhancing Fraud Protection With Machine Learning

With large masses of data distributed across numerous storage centers, machine learning has been invaluable as Capital One ...

How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

Hummingbird buys Quantimon to bring machine learning to AML transaction monitoring

Hummingbird, the AI-powered orchestration platform for financial crime compliance, today announced the acquisition of Quantimon, the machine learning platform for AML risk detection.