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Background: The intersection of artificial intelligence and medical image analysis has ushered in a new era of innovation and changed the landscape of brain tumor detection and diagnosis. Correct detection and classification of brain tumors based on medical images is crucial for early diagnosis and effective treatment. Convolutional Neural Network (CNN) models are widely used for disease detection. However, they are sometimes unable to sufficiently recognize the complex features of medical images., Methods: This paper proposes a fused Deep Learning (DL) model that combines Graph Neural Networks (GNN), which recognize relational dependencies of image regions, and CNN, which captures spatial features, is proposed to improve brain tumor detection. By integrating these two architectures, our model achieves a more comprehensive representation of brain tumor images and improves classification performance. The proposed model is evaluated on a public dataset of 10847 MRI images. The results show that the proposed model outperforms the existing pre-trained models and traditional CNN architectures., Results: The fused DL model achieves 93.68% accuracy in brain tumor classification. The results indicate that the proposed model outperforms the existing pre-trained models and traditional CNN architectures., Conclusion: The numerical results suggest that the model should be further investigated for potential use in clinical trials to improve clinical decision-making., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

A series of novel oxo-hydrazone and spirocondensed-thiazolidine derivatives of imidazo[2,1-b]thiazole were synthesized and evaluated for their antioxidant activity. The antioxidant activity of 18 newly synthesized compounds and 12 previously reported compounds bearing similar scaffold, were evaluated by three different methods: inhibition of FeCl 3 /ascorbate system-induced lipid peroxidation of lecithin liposome (anti-LPO), scavenging activity against ABTS radical and Ferric Reducing Antioxidant Power (FRAP) activity. 4h, 5h, and 6h displayed the highest anti-LPO and ABTS radical removal activity. Also, in FRAP analysis, 4i and 4a displayed the best activity. In addition to the in vitro analysis, docking studies targeting the active site of Human peroxiredoxin 5 (PDB ID: 1HD2) were employed to explore the possible interactions of these compounds with the receptor. Structure-activity relationships, as well as virtual ADME studies, were carried out and a relationship between biological, electronic, and physicochemical qualifications of the target compounds was determined., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Financial & competing interests disclosure The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discusses in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. No writing assistance was utilized in the production of this manuscript., (Copyright © 2020 Elsevier Inc. All rights reserved.)

A series of novel acyl-hydrazone (4a-d) and spirothiazolidinone (5a-d, 6a-d) derivatives of imidazo[2,1-b]thiazole were synthesized and evaluated for their antiviral and antimycobacterial activity. The antituberculosis activity was evaluated by using the Microplate Alamar Blue Assay and the antiviral activity was evaluated against diverse viruses in mammalian cell cultures. According to the biological activity studies of the compounds, 5a-c displayed hope promising antitubercular activity, 6d was found as potent for Coxsackie B4 virus, 5d was found as effective against Feline corona and Feline herpes viruses. Consequently, the obtained results displayed that, 5a-d and 6d present a leading structure for future drug development due to its straightforward synthesis and relevant bioactivity., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2019 Elsevier Inc. All rights reserved.)