Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN).

Background: Connectome is understanding the complex organization of the human brain's structural and functional connectivity is essential for gaining insights into cognitive processes and disorders. Objective: To improve the prediction accuracy of brain disorder issues, the current study investigates dysconnected subnetworks and graph structures associated with schizophrenia. Method: By using the proposed structural connectivity-deep graph neural network (sc-DGNN) model and compared with machine learning (ML) and deep learning (DL) models.This work attempts to focus on eighty-eight subjects of diffusion magnetic resonance imaging (dMRI), three classical ML, and five DL models. Result: The structural connectivity-deep graph neural network (sc-DGNN) model is proposed to effectively predict dysconnectedness associated with schizophrenia and exhibits superior performance compared to traditional ML and DL (GNNs) methods in terms of accuracy, sensitivity, specificity, precision, F1-score, and Area under receiver operating characteristic (AUC). Conclusion: The classification task on schizophrenia using structural connectivity matrices and experimental results showed that linear discriminant analysis (LDA) performed 72% accuracy rate in ML models and sc-DGNN performed at a 93% accuracy rate in DL models to distinguish between schizophrenia and healthy patients.

An innovative breast cancer detection framework using multiscale dilated densenet with attention mechanism.

Cancer-related deadly diseases affect both developed and underdeveloped nations worldwide. Effective network learning is crucial to more reliably identify and categorize breast carcinoma in vast and unbalanced image datasets. The absence of early cancer symptoms makes the early identification process challenging. Therefore, from the perspectives of diagnosis, prevention, and therapy, cancer continues to be among the healthcare concerns that numerous researchers work to advance. It is highly essential to design an innovative breast cancer detection model by considering the complications presented in the classical techniques. Initially, breast cancer images are gathered from online sources and it is further subjected to the segmentation region. Here, it is segmented using Adaptive Trans-Dense-Unet (A-TDUNet), and their parameters are tuned using the developed Modified Sheep Flock Optimization Algorithm (MSFOA). The segmented images are further subjected to the breast cancer detection stage and effective breast cancer detection is performed by Multiscale Dilated Densenet with Attention Mechanism (MDD-AM). Throughout the result validation, the Net Present Value (NPV) and accuracy rate of the designed approach are 96.719% and 93.494%. Hence, the implemented breast cancer detection model secured a better efficacy rate than the baseline detection methods in diverse experimental conditions.

Neuroendocrine Carcinoma of the Hypopharynx - An Elusive Clinical Rarity.

Neuroendocrine carcinoma originating from neuroendocrine cells is typically linked to unfavourable survival rates. We are introducing an exceptional case of neuroendocrine carcinoma occurring in the hypopharynx. To date, only a handful of instances involving primary neuroendocrine carcinoma of the hypopharynx have been documented. Advanced age, being male, a history of chronic alcoholism, smoking, and previous radiation are all risk factors associated with this condition. The majority of patients present with distant metastases and are not amenable to a complete cure. As there are no guidelines for the treatment of this rare tumour, various treatment modalities have been tried. Here, we are reporting one such case which was diagnosed as small-cell neuroendocrine carcinoma of the hypopharynx on the basis of histopathological cues and received concurrent chemoradiotherapy.

Metastatic adenocarcinoma presenting as monoarticular arthritis of the knee: A case report with review of literature.

Patients who develop metastatic arthritis secondary to solid tumors are rare. It is even more uncommon to be a presenting symptom. We present a case where a known case of osteoarthritic patient presented with complaints of knee swelling secondary to primary colonic carcinoma with lung metastasis. It was initially diagnosed on histopathology examination as metastatic adenocarcinoma from excised synovial mass and further investigated for primary carcinoma. Later, computed tomography was done and found out the primary colonic carcinoma arising from transverse colon along with lung metastasis.

Adriamycin induced myocardial failure in rats: protective role of Centella asiatica.

Generation of reactive oxygen species and mitochondrial dysfunction has been implicated in adriamycin induced cardiotoxicity. Mitochondrial dysfunction is characterized by the accumulation of oxidized lipids, proteins and DNA, leading to disorganization of mitochondrial structure and systolic failure. The present study was aimed to evaluate the efficacy of Centella asiatica on the mitochondrial enzymes; mitochondrial antioxidant status in adriamycin induced myocardial injury. Adriamycin (2.5 mg/kg body wt., i.p.) induced mitochondrial damage in rats was assessed in terms of decreased activities (p<0.05) of cardiac marker enzymes (lactate dehydrogenase, creatine phosphokinase, amino transferases), TCA cycle enzymes (isocitrate dehydrogenase, alpha-ketoglutarate dehydrogenase, malate dehydrogenase, respiratory marker enzymes (NADH-dehydrogenase, cytochrome-C-oxidase), mitochondrial antioxidant enzymes (GPx, GSH, SOD,CAT) and increased (p<0.05) level of lipid peroxidation. Mitochondrial damage was confirmed by transmission electron microscopic examination. Pre-co-treatment with aqueous extract of Centella asiatica (200 mg/kg body wt, oral) effectively counteracted the alterations in mitochondrial enzymes and mitochondrial defense system. In addition, transmission electron microscopy study confirms the restoration of cellular normalcy and accredits the cytoprotective role of Centella asiatica against adriamycin induced myocardial injury. Our results demonstrated elevated oxidative stress and mitochondrial dysfunction in adriamycin treated rats. Moreover, on the basis of our findings it may be concluded that the aqueous extract of C. asiatica not only possesses antioxidant properties but it may also reduce the extent of mitochondrial damage.

Biodiversity of Anabaena azollae isolates from different Azolla cultures.

The random amplified polymorphic DNA (RAPD) profile of A. azollae strains isolated from four different Azolla cultures was studied by using different primers. The objective of this study was to determine whether polymerase chain reaction (PCR) with different primers could differentiate the isolated A. azollae strains from one another. The primers amplified specific sequences of the isolates and generated fingerprinting pattern characteristic of each isolate. Clear polymorphism was noticed among all the strains which depends on the primer sequence.