A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...
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 ...
Department of Chemistry, Waterloo Data and Artificial Intelligence Institute and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada ...
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 ...
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 ...
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 ...
Abstract: The most commonly diagnosed cancers in the world are Lung cancer. Beforehand prediction, detection and diagnosis of lung cancer has become essential. This paper draws light to the lung ...
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