Advances of AI in image-based computer-aided diagnosis: A review

Over the past two decades, computer-aided detection and diagnosis have emerged as a field of research.The primary goal is to enhance the diagnostic and treatment procedures for radiologists and clinicians in medical image analysis.With the help of big data and advanced artificial intelligence (AI) technologies, such as machine learning and deep lea

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Molecular Mechanisms on the Selectivity Enhancement of Ascorbic Acid, Dopamine, and Uric Acid by Serine Oligomers Decoration on Graphene Oxide: A Molecular Dynamics Study

The selectivity in the simultaneous detection of ascorbic acid (AA), dopamine (DA), and uric acid (UA) has been an open problem in the biosensing field.Many surface modification methods were carried out for glassy carbon electrodes (GCE), including the use of graphene oxide and amino acids as a selective layer.In this work, molecular dynamics (MD)

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DNA plasticity and damage in amyotrophic lateral sclerosis

The pathophysiology of amyotrophic lateral sclerosis (ALS) is particularly challenging due to the heterogeneity of its clinical presentation and the diversity of cellular, molecular and genetic peculiarities involved.Molecular insights unveiled several novel genetic factors to be inherent in both familial and sporadic disease entities, whose charac

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The development of cooperation and cooperative norm enforcement in children and adolescents: The role of in-group favoritism

Various scholars have discussed the influence of group membership on ventilationstejp cooperative behaviors in adult samples.Nonetheless, the developmental trajectories of related biases from middle childhood and early adolescence remain to be explored.Using the one-shot 4-player public goods game and inducing group membership awareness by school a

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