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Background: Multiple sclerosis and its progressive relapsing-remitting nature for MS patients is challenging and significantly affects the mental health of people with MS. We examined the direct effects of alexithymia and attachment on mental health and the indirect effect of attachment, alexithymia, loneliness, and perceived social support on the mental health of people with MS.

Materials And Methods: Three hundred and forty-five diagnosed with multiple sclerosis (MS) were deemed eligible for inclusion in the study and selected through the Iranian MS Association.

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Nationa Medical Commission (NMC) had recently undertook the revision of Undergraduate CBME curriculum. the Authors were involved in Psychiatry curriculum revision. In this paper, authors explain the process of revision, the rationale behind the changes made and make specific suggestions for the better implementation of the revised curriculum.

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Neuroplasticity in Diffuse Low-grade Gliomas: Backward Modelling of Brain-tumor Interactions Prior to Diagnosis is Needed to Better Predict Recovery after Treatment.

Curr Neurol Neurosci Rep

January 2025

Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, 80 Avenue Augustin Fliche, Montpellier, 34295, France.

Purpose Of Review: In low-grade glioma (LGG), besides the patient's neurological status and tumor characteristics on neuroimaging, current treatment guidelines mainly rely on the glioma's genetics at diagnosis to define therapeutic strategy, usually starting with surgical resection. However, this snapshot in time does not take into account the antecedent period of tumor progression and its interactions with the brain before presentation. This article reviews new concepts that pertain to reconstruct the history of previous interplay between the LGG's course and adaptive changes in the connectome within which the glioma is embedded over the years preceding the diagnosis.

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Artificial Intelligence (AI) and AI-driven technologies are transforming industries across the board, with the pharmaceutical sector emerging as a frontrunner beneficiary. This article explores the growing impact of AI and Machine Learning (ML) within pharmaceutical Regulatory Affairs, particularly in dossier preparation, compilation, documentation, submission, review, and regulatory compliance. By automating time-intensive tasks, these technologies streamline workflows, accelerate result generation, and shorten the product approval timeline.

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Due to the global effects of climate change numerous infectious diseases are increasingly spreading to regions that were previously hardly or only slightly affected. As ocular involvement is possible in many of these infectious diseases, we must also adapt to new pathogens and clinical pictures in Germany in the medium to long term. Using selected bacterial, viral and mycotic pathogens and diseases as examples, the causes of the increase in dissemination and the consequences for ophthalmology are presented.

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