Richard Scolyer, Cancer Expert Who ‘Became His Own Subject,’ Dies at 59

His lifesaving melanoma research in Australia illuminated the treatment he underwent for his own brain tumor, an ordeal he ...
IEEE

Modelling and Simulation of SPR Sensor for Skin Cancer Detection

Abstract: This MATLAB numerical simulation-based study carries out a novel SPR design of silver as the primary plasmonic material with lithium niobate and silicon nitride nanolayers for skin cancer ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
Cancer Research

AI-assisted Diagnosis of Nonmelanoma Skin Cancer in Resource-Limited Settings

2Department of Computer Science, University of Chicago, Chicago, Illinois. 9Section of Biomedical Data Science, Department of Medicine, University of Chicago, Chicago, Illinois. 10Center for ...
IEEE

Detection of Skin Cancer using MATLAB

Abstract: Early identification is crucial for improving treatment outcomes and survival rates for skin cancer, which is a major worldwide health concern. This study uses MATLAB as the main programming ...
Nature

Enhanced convolutional neural network architecture optimized by improved chameleon swarm algorithm for melanoma detection using dermatological images

Early detection and treatment of skin cancer are important for patient recovery and survival. Dermoscopy images can help clinicians for timely identification of ...
C&EN

Optical Nanosensor Passivation Enables Highly Sensitive Detection of the Inflammatory Cytokine Interleukin-6

Department of Biomedical Engineering, The City College of New York, New York, New York 10031, United States of America PhD Program in Chemistry, The Graduate Center of The City University of New York, ...
Nature

Early automated detection system for skin cancer diagnosis using artificial intelligent techniques

Recently, skin cancer is one of the spread and dangerous cancers around the world. Early detection of skin cancer can reduce mortality. Traditional methods for skin cancer detection are painful, ...
C&EN

Mass Spectrometric Interrogation of Earwax: Toward the Detection of Ménière’s Disease

Department of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue, Albany, New York 12222, United States ...
Frontiers

The Feasibility of Applying Artificial Intelligence to Gastrointestinal Endoscopy to Improve the Detection Rate of Early Gastric Cancer Screening

Convolutional neural networks in the field of artificial intelligence show great potential in image recognition. It assisted endoscopy to improve the detection rate of early gastric cancer. The 5-year ...
PNAS

Distinguishing malignant from benign microscopic skin lesions using desorption electrospray ionization mass spectrometry imaging

Timely detection of microscopic tumors is of utmost importance in cancer diagnostics. We show that desorption electrospray ionization mass spectrometry imaging (DESI-MSI) can successfully locate ...