Herbal immunomodulators as add on treatment in asymptomatic and mildly symptomatic COVID-19 confirmed cases: findings from a prospective single centre clinical trial

Background: The aim of the present study was to evaluate safety and efficacy of Sri Sri TattvaTM immunity products, a combination of single herb and poly herb formulations in COVID-19 patients by assessing their clinical features and immune markers. The products when administered orally for a period of 14 days in COVID-19 patients demonstrated significant improvement in clinical symptoms.Methods: Patients with fever, cough, sore throat started responding to the treatment from day 3 and most of the patients were clinically free of symptoms by day 7. Early recovery from signs and symptoms was observed in most of the patients. Sri Sri TattvaTM immunity products has also demonstrated an excellent clinical improvement and immune markers including tumor necrosis factor (TNF-alfa), interleukin (IL-6), interferon (IFN-beta), D-dimer, ferritin, lactate dehydrogenease (LDH) and C-reactive protein (CRP) in COVID-19 patients.Results: The final results of this study showed that Sri Sri TattvaTM immunity products reduced the time to clinical cure and number of days in achieving negative real time polymerase chain reaction (RT-PCR) by early viral clearance when given along with standard of care thus reduced the duration of hospitalization.Conclusions: In the present study, 82% of COVID-19 patients cleared the virus within 10-14 days of study period reducing the duration of hospitalization. None of the patients progressed to severe COVID-19 and succumbed to the disease. This clearly indicates that Sri Sri TattvaTM immunity products when administered orally along with standard of care has definitive role in the management of COVID-19 patients

Video Saliency Detection by using an Enhance Methodology Involving a Combination of 3DCNN with Histograms

When watching pictures or videos, the Human Visual System has the potential to concentrate on important locations. Saliency detection is a tool for detecting the abnormality and randomness of images or videos by replicating the human visual system. Video saliency detection has received a lot of attention in recent decades, but due to challenging temporal abstraction and fusion for spatial saliency, computational modelling of spatial perception for video sequences is still limited.Unlike methods for detection of salient objects in still images, one of the most difficult aspects of video saliency detection is figuring out how to isolate and integrate spatial and temporal features.Saliency detection, which is basically a tool to recognize areas in images and videos that catch the attention of the human visual system, may benefit multimedia applications such as video or image retrieval, copy detection, and so on. As the two crucial steps in trajectory-based video classification methods are feature point identification and local feature extraction. We suggest a new spatio-temporal saliency detection using an enhanced 3D Conventional neural network with an inclusion of histogram for optical and orient gradient in this paper

Experimental Investigation for Detecting Mitotic Cells in Medical Image using an Automated Algorithm

Cancer of the breast is a malignant tumour that originates in the cells of the breast tissue. It is by far the most common kind of cancer found in females around the world, with a projected 2.3 million new cases will be discovered in the year 2020 alone. It is projected that one in eight women will be diagnosed with breast cancer at some point in their life, despite the fact that breast cancer can also occur in men. Breast cancer is a complex condition that can arise from a diverse set of factors, express itself in a variety of ways, and can be treated in a variety of ways. Ductal carcinoma in situ, invasive ductal carcinoma, and invasive lobular carcinoma are all different subtypes. Both the available treatment options and the expected outcome of breast cancer are very variable depending on the particular subtype of the illness. Breast cancer risk factors include drinking alcohol and not getting enough exercise, as well as getting older, having a family history of the disease, having genetic mutations, being exposed to estrogens, and having a family history of the disease. There is not always a connection between having risk factors and developing breast cancer, despite the fact that there can be a link between the two. The prognosis and treatment options for breast cancer are highly dependent on the stage of the disease at the time of diagnosis. During staging, the extent to which the cancer has spread throughout the body and how far it has progressed are both measured. The TNM system, the IAFCM system, the ACM system, and the MPIG system are just few of the staging systems that are used to classify breast cancer. These staging systems consider not only the size of the tumor but also whether or not lymph nodes are involved and whether or not distant metastases are present. The severity of breast cancer symptoms can vary widely, depending not only on the subtype of the disease but also on how far along it has progressed. Alterations in the size or shape of the breast, discharge from the nipple, and alterations in the skin of the breast (such as redness or dimpling) are all common indications. On the other hand, not all cases of breast cancer present themselves in a visible manner, and mammography and other forms of routine screening may be able to detect some of these cases. Options for treating breast cancer vary depending on the patient's condition and the stage of the disease, as well as the patient's overall health and their preferences towards therapy. Common examples of medical interventions include surgery, radiotherapy, chemotherapy, hormone therapy, and targeted therapy. Other examples include. In certain cases, it may be appropriate to participate in more than one form of treatment