Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
InfoQ

Virtual Panel - AI in the Trenches: How Developers Are Rewriting the Software Process

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...
TechCrunch

Luma releases a new AI model that lets users generate a video from a start and end frame

Luma, the a16z-backed AI video and 3D model company, released a new model called Ray3 Modify that allows users to modify existing footage by providing character reference images that preserve the ...
IGN

Don't Expect the Steam Machine Price to Follow a 'Console Pricing Model' of $500

Valve’s announcement of the Steam Machine has sparked much debate online about the company’s return to the PC in the living room space, but one key piece of information remains unknown: price. The ...
IEEE

Interpretable Machine Learning Model Based on SOFA Score for ICU Sepsis Mortality Prediction with Multicenter Validation

The Sequential Organ Failure Assessment (SOFA) score is a widely employed scoring system in clinical practice for predicting mortality in patients with sepsis. The integration of machine learning ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
Hosted on MSN

Which Cross-Validation Method Should You Use in Machine Learning?

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...
ahajournals.org

Abstract 4357549: Multi-Center Validation of a Non-exercise Machine Learning Prediction Model Equivalent to Cardiopulmonary Exercise Parameters in Cardiovascular Patients

Background: A symptom-limited incremental cardiopulmonary exercise testing (CPET) is rigidly applied to patients with cardiovascular disease for assessing exercise capacity and prognosis, yet its ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

The stacking model achieved ROC-AUCs of 0.995, 0.838, and 0.721 in the training, internal validation, and external validation sets, respectively. Key predictors—total bilirubin, lactate, prothrombin ...
Fierce Healthcare

HLTH25: AHA unveils AI Assessment Lab to validate models for heart health

LAS VEGAS—The American Heart Association is launching an AI Assessment Lab in partnership with Dandelion Health to validate predictive AI for cardiovascular conditions and related diseases. The group ...