Latest AI and machine learning research in prevention for healthcare professionals.
Colorectal cancer is the third leading cause of cancer-related deaths in the United States, and colo...
Personalized data-driven interventions for depression are much needed. Here, we leveraged N-of-1 mac...
Polygenic predictors can enhance screening for biomedical conditions, such as metabolism-related tra...
Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five dea...
BACKGROUND: To fight sedentary lifestyles, researchers have introduced various technological interve...
INTRODUCTION: The pandemic crisis is now a memorable milestone in the history of science, not only f...
The rapid integration of artificial intelligence into healthcare has introduced transformative possi...
The purpose of this paper is to contribute towards the near-future privacy-preserving big data ana...
Diet plays a critical role in human health, yet tailoring dietary reasoning to individual health c...
The EU GDPR is a landmark regulation that introduced several rights for individuals to obtain info...
Cognitive Diagnosis (CD) aims to evaluate students' cognitive states based on their interaction da...
The impact of Large Language Models (LLMs) like GPT-3, GPT-4, and Bard in computer science (CS) ed...
This study introduces Purrfessor, an innovative AI chatbot designed to provide personalized dietar...
Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's ...
Existing graph learning-based cognitive diagnosis (CD) methods have made relatively good results, ...
AI systems are assisting humans with increasingly diverse intellectual tasks but are still prone t...
Current research in food analysis primarily concentrates on tasks such as food recognition, recipe...
Recently, there has been an increasing interest in applying technological advances to offer specific...
Fairness is one of the most commonly identified ethical principles in existing AI guidelines, and ...
Cognitive Diagnosis~(CD), which leverages students and exercise data to predict students' proficie...
This study explores endometrial cancer (EC) within the broader context of oncogynecology, focusing o...