Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection.

The Banff classification is useful for diagnosing renal transplant rejection. However, it has limitations due to subjectivity and varying concordance in physicians' assessments. Artificial intelligence (AI) can help standardize research, increase objectivity and accurately quantify morphological characteristics, improving reproducibility in clinical practice.

Optogenetic and chemogenetic approaches for modeling neurological disorders in vivo.

Animal models of human neurological disorders provide valuable experimental tools which enable us to study various aspects of disorder pathogeneses, ranging from structural abnormalities and disrupted metabolism and signaling to motor and mental deficits, and allow us to test novel therapies in preclinical studies. To be valid, these animal models should recapitulate complex pathological features at the molecular, cellular, tissue, and behavioral levels as closely as possible to those observed in human subjects. Pathological states resembling known human neurological disorders can be induced in animal species by toxins, genetic factors, lesioning, or exposure to extreme conditions.

Chemogenetic emulation of intraneuronal oxidative stress affects synaptic plasticity.

Oxidative stress, a state of disrupted redox signaling, reactive oxygen species (ROS) overproduction, and oxidative cell damage, accompanies numerous brain pathologies, including aging-related dementia and Alzheimer's disease, the most common neurodegenerative disorder of the elderly population. However, a causative role of neuronal oxidative stress in the development of aging-related cognitive decline and neurodegeneration remains elusive because of the lack of approaches for modeling isolated oxidative injury in the brain. Here, we present a chemogenetic approach based on the yeast flavoprotein d-amino acid oxidase (DAAO) for the generation of intraneuronal hydrogen peroxide (HO).

[Chronic or severe enteropathy and immunodeficiency: be prepared for a rara avis].

In the work-up of chronic enteropathies an underlying inborn error of immunity (IEI) should be considered in certain cases. IEI are rare, but approximately 10% of patients may present with symptoms of inflammatory bowel disease (IBD), which is a much more common entity. Patients with IEI associated IBD may show extraintestinal symptoms or signs, and are often refractory to conventional anti-inflammatory treatment.

The Algorithm of a Game-Based System in the Relation between an Operator and a Technical Object in Management of E-Commerce Logistics Processes with the Use of Machine Learning.

Machine learning (ML) is applied in various logistic processes utilizing innovative techniques (e.g., the use of drones for automated delivery in e-commerce).