Contemporary medicine suffers from many shortcomings in terms of successful disease
diagnosis and treatment, both of which rely on detection capacity and timing. The lack of …

Abstract Purpose of Review Artificial intelligence (AI) has increasingly been used in
healthcare. Given the capacity of AI to handle large data and complex relationships between …

AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

Wearable sensing electronic systems (WSES) are becoming a fundamental platform to
construct smart and intelligent networks for broad applications. Various physiological data …

Background Asthma exacerbations in children pose a significant burden on healthcare
systems and families. While traditional risk assessment tools exist, artificial intelligence (AI) …

Abstract Background Fragile X syndrome (FXS), the most common inherited cause of
intellectual disability and autism, is significantly underdiagnosed in the general population …

Identifying epitopes, or the segments of a protein that bind to antibodies, is critical for the
development of a variety of immunotherapeutics and diagnostics. In vaccine design, the …

Introduction: Artificial intelligence (AI) tools are increasingly being integrated into computer-
aided diagnosis systems that can be applied to improve the recognition and clinical and …

Atopic dermatitis, food allergy, allergic rhinitis, and asthma are among the most common
diseases in childhood. They are heterogeneous diseases, can co-exist in their development …

Wheezing is a common condition in childhood, and its prevalence has increased in the last
decade. Up to one-third of preschoolers develop recurrent wheezing, significantly impacting …