X open sources its algorithm while facing a transparency fine and Grok controversies

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla ...
EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
hospitalhealthcare

Can machine learning identify CAD risk and refine patient selection in CCTA?

While machine learning can sharpen coronary artery disease (CAD) prediction using standard clinical data, it falls short in detecting plaques most likely to cause future cardiac events in patients ...
IEEE

Optimal Channel Selection for FY-4B GIIRS Explainable Machine Learning Cloud Detection Algorithm

Abstract: Cloud detection is a crucial preliminary step for assimilating meteorological satellite observation and retrieving other atmospheric parameters. This article presents an explainable machine ...
Targeted Oncology

Machine Learning Model May Optimize Treatment Selection and Survival in HCC

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...
marktechpost

Google AI Proposes Novel Machine Learning Algorithms for Differentially Private Partition Selection

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...
Frontiers

Quantum key distribution through quantum machine learning: a research review

Quantum cryptography has emerged as a radical research field aimed at mitigating various security threats in modern communication systems. The integration of Quantum Machine Learning (QML) protocols ...
Frontiers

Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study

Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, China Background: Liver metastasis is the most common site of metastasis in pancreatic ...