Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in ...

Machine Learning (PIERS-ML) model and the logistic regression-based fullPIERS model, consecutive performance deteriorates over time.

Barely two months into 2025, the quantum computing sphere is abuzz with activity. Here we examine some of the latest ...

Humans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and ...

Predicting how cancer patients will respond to treatment remains a critical challenge. Immune checkpoint inhibitors (ICIs), a ...

Advanced Machine Learning Models for Gender-Specific Antidepressant Response Prediction: Overcoming Data Imbalance for Precision Psychiatry Depressive disorders are complex, multifactorial conditions ...

Development of Prediction Model for Brain Amyloid-Beta Accumulation for Early Screening of Alzheimer's Disease MACHINE LEARNING MODEL USING ...

An AI tool appeared superior to two FDA-approved biomarkers for predicting how people with cancer will respond to immune ...

Current clinical tools rely on known cardiovascular risk elements, but they often do not account for complex interactions between multiple variables. Machine learning, with its ability to process vast ...

AI, when properly implemented, has the power to transform emergency medicine by enhancing patient outcomes, reducing ...

To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...

Students should not approach other offices within The American University in Cairo (AUC) for funding without prior communication with the Undergraduate Research Program. If extra funding is found ...