INBORN ERRORS OF IMMUNITY IN ADULTS WITH AUTOIMMUNE LIVER DISEASES

Inborn Errors of Immunity in Adults with Autoimmune Liver Diseases

Background/Aims: Inborn errors of immunity (IEI) may associate with autoimmune diseases, including autoimmune liver diseases (AILD).However, both the IEI frequency and secondary effects of immunosuppressives are unknown in patients with AILD due to the lack of data.We aimed to evaluate the ratio Home Coffee Machines of IEI in AILD.Materials and Met

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Emerging Biomarker-Guided Therapies in Prostate Cancer

Prostate cancer remains one of the Medical and Ambulatory supplies / Gloves leading causes of cancer death in men worldwide.In the past decade, several new treatments for advanced prostate cancer have been approved.With a wide variety of available drugs, including cytotoxic agents, androgen receptor axis-targeted therapies, and alpha-emitting radia

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SIS Epidemic Propagation on Scale-Free Hypernetwork

The hypergraph offers a platform to study structural properties emerging from more complicated and higher-order than pairwise interactions among constituents and dynamical behavior, such as the spread of information or disease.Considering the higher-order interaction between multiple nodes in the system, the mathematical model of infectious disease

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Impulsive Delayed Reward Discounting as a Genetically-Influenced Target for Drug Abuse Prevention: A Critical Evaluation

This review evaluates the viability of delayed reward discounting (DRD), an index of how much an individual devalues a future reward based on its delay in time, for genetically-informed drug abuse prevention.A review of the literature suggests that impulsive DRD is robustly associated with drug addiction and meets most of the criteria for being an

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Application of Graph Structures in Computer Vision Tasks

On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing.On the other hand, nowadays, deep learning methods play an important role in image recognition tasks.Such methods are based on convo

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