Machine learning predicts drug response for personalized colorectal cancer treatment

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
Oncology Nurse Advisor

Machine Learning Methods Able to Predict Symptom Deterioration From EHR Data

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
IEEE

A Hybrid Approach To Accurate Breast Cancer Prediction Integrating: Explainable AI and Machine Learning

Abstract: Female breast cancer functions as a leading mortality cause of cancer among women globally. Discovery of breast cancer at its early stage enhances both therapeutic outcomes and patient ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
C&EN

Machine Learning Modeling for ABC Transporter Efflux and Inhibition: Data Curation, Model Development, and New Compound Interaction Predictions

Department of Chemistry and Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States Center for Biomedical Informatics and Genomics, Tulane University School of Medicine, New Orleans ...
IEEE

A Case Study: FMG-based Gesture Recognition using High-Density Piezoelectric Electronic Skin and Machine Learning

Abstract: During muscle contractions, force distributions are generated on muscle surfaces due to muscle activity, which is applicable for control in a Human-Machine Interface. It has been proven that ...
C&EN

Improving Machine Learning Classification Predictions through SHAP and Features Analysis Interpretation

Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, ...
Frontiers

Skin disease diagnosis using decision and feature level fusion of deep features

Introduction: Early skin disease diagnosis is essential and one of the challenging tasks for a dermatologist. Manual diagnosis by healthcare providers is subjective, costly, and may yield inconsistent ...