Team project Researchers from the University of the Basque Country are part of a team using machine learning to accelerate the development of nanoparticles as potential drug carriers. (Courtesy: ...

Doctors in the UAE are exploring how AI, genetic data, and predictive health tools can help identify serious conditions, such as heart attacks, diabetes complications, and fertility issues, years ...

This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...

Department of Industrial and Systems Engineering, North Carolina A & T State University, Greensboro, NC, USA. According to the Centers for Disease Control and Prevention (CDC), diabetes is a long-term ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

Renal cell carcinoma (RCC) is the third most common cancer in the genitourinary system. However, factors such as postoperative metastasis, recurrence, and advanced inoperable conditions contribute to ...

Abstract: Diabetes is one of the chronic diseases that causes blood sugar levels to rise. If diabetes is left untreated and undiagnosed, it can lead to complications. The time-consuming identification ...

The Diabetes Prediction with AI project leverages a machine learning model to predict diabetes risk. Built with Streamlit, the app explains predictions using SHAP and permutation importance while ...