Dark matter is an enigmatic form of matter not expected to emit light, yet it is essential to understanding how the rich tapestry of stars and galaxies we see in the night sky evolved. As a ...
A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...
Abstract: Detection, classification and identification of underwater objects are both complex and essential tasks for perception and navigation of Autonomous Underwater Vehicles (AUVs) and Remotely ...
This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture. The objective is to automate the process of identifying whether ...
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 ...
The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...
Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...
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 ...
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