McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices.

Worldwide COVID-19 is a highly infectious and rapidly spreading disease in almost all age groups. The Computed Tomography (CT) scans of lungs are found to be accurate for the timely diagnosis of COVID-19 infection. In the proposed work, a deep learning-based P-shot N-ways Siamese network along with prototypical nearest neighbor classifiers is implemented for the classification of COVID-19 infection from lung CT scan slices.

Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.

The novel discovered disease coronavirus popularly known as COVID-19 is caused due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and declared a pandemic by the World Health Organization (WHO). An early-stage detection of COVID-19 is crucial for the containment of the pandemic it has caused. In this study, a transfer learning-based COVID-19 screening technique is proposed.

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices.

Lung abnormality is one of the common diseases in humans of all age group and this disease may arise due to various reasons. Recently, the lung infection due to SARS-CoV-2 has affected a larger human community globally, and due to its rapidity, the World-Health-Organisation (WHO) declared it as pandemic disease. The COVID-19 disease has adverse effects on the respiratory system, and the infection severity can be detected using a chosen imaging modality.

A comparative evaluation of platelet-rich plasma in combination with demineralized freeze-dried bone allograft and DFDBA alone in the treatment of periodontal intrabony defects: A clinicoradiographic study.

Background: The aim of the present clinical trial was to compare PRP combined with a DFDBA to DFDBA mixed with a normal saline solution in the treatment of human intrabony defects.

Materials And Methods: Twenty interproximal intrabony osseous defects in twenty non-smoking, healthy subjects diagnosed with chronic periodontitis were treated in this study. Ten subjects each were randomly assigned to the test group (PRP + DFDBA) or the control group (DFDBA + saline).

Effect of locally delivered tetracycline hydrochloride as an adjunct to scaling and root planing on Hba1c, C-reactive protein, and lipid profile in type 2 diabetes: A clinico-biochemical study.

Aim: The aim was to assess the levels of HbA1c, C-reactive protein, and lipid profile in patients with type 2 diabetes mellitus by treating the pockets using collagen impregnated sustained release resorbable tetracycline fiber (periodontal plus AB fiber) following scaling and root planing (SRP).

Materials And Methods: A total of 40 patients with type 2 diabetes mellitus were randomly distributed into two groups receiving either SRP and tetracycline fiber or SRP alone. Patients were evaluated clinically with gingival index, plaque index, probing depth, and relative attachment level, and bio-chemically with HbA1c, C Reactive Protein, and lipid profile at baseline, 1 month, and 3 months.