AI model automates detection of developmental abnormalities in zebrafish embryos

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...
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 ...
Scientific Research Publishing

Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()

Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...
IEEE

Adversarial Machine Learning for Robust and Secure UAV Detection in Consumer Applications

Abstract: This research evaluates a cognitive AI model for unmanned aerial vehicles (UAV) detection using adversarial machine learning (AML) techniques. We test the model using the VisDrone dataset ...
Frontiers

Acoustic-based machine learning approaches for depression detection in Chinese university students

Background: Depression is major global public health problems among university students. Currently, the evaluation and monitoring of depression predominantly depend on subjective and self-reported ...
PNAS

In silico machine learning–enabled detection of polycyclic aromatic hydrocarbons from contaminated soil

Soil contamination by environmental pollutants, particularly polycyclic aromatic hydrocarbons (PAHs), can significantly affect human health due to their carcinogenic and mutagenic properties. In this ...
IEEE

Coordination of Machine Learning and Current Modulation for DC Series Arc Fault Detection and Extinguishing for Module-Level PV Systems

Abstract: Module-level power electronics can achieve the maximum power generation for each photovoltaic (PV) panel with overcoming the partial shading. However, it increases the possibility of dc ...
GitHub

Machine Learning (ML) in Software Development

Organizations and developers all over the world use GitHub Copilot to code faster, drive impact, and focus on doing what matters most: building great software. Start using GitHub Copilot today!
Targeted Oncology

Machine Learning Transforms Multicancer Detection Tests

This review discusses the current state of multicancer early detection tests, the role of machine learning in their development, and their implications for oncology practice and patient care. THE ...