Lung cancer stands as the leading cause of death in the United States, attributed to factors
such as the spontaneous growth of malignant tumors in the lungs that can metastasize to …

A thorough comparison of several machine learning methods is provided in this paper,
including gradient boosting, AdaBoost, Random Forest (RF), XGBoost, Artificial Neural …

This research explores the application of four deep learning architectures—Multilayer
Perceptron (MLP), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) …

Breast cancer stands as one of the most prevalent and perilous forms of cancer affecting
both women and men. The detection and treatment of breast cancer benefit significantly from …

The surge in generative artificial intelligence technologies, exemplified by systems such as
ChatGPT, has sparked widespread interest and discourse prominently observed on social …

Chronic kidney disease (CKD) emerges as a global health problem with high morbidity and
mortality rates, and it induces other diseases. Patients often fail to notice these diseases …

This research emphasizes the global health challenge of brain tumors and emphasizes the
importance of early detection using Convolutional Neural Networks (CNNs) on Magnetic …

Chronic Kidney Disease (CKD) is a serious and long term condition stemming from either
renal disease or flawed kidney functions. Kidney cancer, known for its lethality, holds …

The aim of the project is to carry out research on privacy respecting methods and
technologies that use the citizens' mobile devices as sources of geo-referenced information …

In this paper we conduct a comprehensive examination of current advances and future
prospects in AI-driven patterns within bioinformatics. Recognizing the integration of artificial …