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Pharmacotherapy of PD and related movements disorders and their limitations
A wide range of neurodegenerative illnesses, including Parkinson's disease (PD) and related movement disorders, greatly impair the quality of life for those who are afflicted. This chapter provides a comprehensive overview of Parkinson's disease (PD), covering everything from the disease's basic definitions, epidemiology, and pathophysiology to the complex issues involved in treating its symptoms
DAP: A Framework for Driver Attention Prediction
Human drivers employ their attentional systems during driving to focus on critical items and make judgments. Because gaze data can indicate human attention, collecting and analyzing gaze data has emerged in recent years to improve autonomous driving technologies. In safety-critical situations, it is important to predict not only where the driver focuses his attention but also on which objects. In
Multi-omics data integration and analysis pipeline for precision medicine: Systematic review
Precision medicine has gained considerable popularity since the “one-size-fits-all” approach did not seem very effective or reflective of the complexity of the human body. Subsequently, since single-omics does not reflect the complexity of the human body's inner workings, it did not result in the expected advancement in the medical field. Therefore, the multi-omics approach has emerged. The multi
Reply to Jessica Frazier
[No abstract available]
Morality and divine law: Reflections on islamic theology and falsafah
Theoretically, evaluating the moral quality of an individual may vary depending on how we understand the nature and foundation of values and the extent to which the individual's acts meet the criteria for what counts as moral. Suppose we grant the existence of divine law. To what extent (and in what way) does divine law structure the conduct of morally excellent individuals, if such individuals
Evil and responsibility in the Quran
The Quran contains numerous references to evil and some of these indicate that the responsibility of some instances of evil, which I call self-inflicted evil, lies with human beings rather than God. This idea of evil leads to an exploration of two interconnected issues in philosophical and theological discussions, moral responsibility and desert, along with the related tension between freedom of
A Novel Approach to Breast Cancer Segmentation Using U-Net Model with Attention Mechanisms and FedProx
Breast cancer is a leading cause of death among women worldwide, emphasizing the need for early detection and accurate diagnosis. As such Ultrasound Imaging, a reliable and cost-effective tool, is used for this purpose, however the sensitive nature of medical data makes it challenging to develop accurate and private artificial intelligence models. A solution is Federated Learning as it is a
Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer
Segmentation of nuclei in histopathology images with high accuracy is crucial for the diagnosis and prognosis of cancer and other diseases. Using Artificial Intelligence (AI) in the segmentation process enables pathologists to identify and study the unique properties of individual cells, which can reveal important information about the disease, its stage, and the best treatment approach. By using
Uni-Buddy: A Multifunctional AI-Powered Assistant for Enhancing University Life: A Use Case at Nile University
Uni-Buddy is an advanced AI system developed to simplify university life at Nile University. It efficiently handles questions in everyday language, accesses real-time university databases, and simultaneously provides accurate responses for multiple users. Its goals include assisting with course registration, academic advising, financial inquiries, campus navigation, and research support. The