COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients.

Background: We aimed to analyze the prognostic power of CT-based radiomics models using data of 14,339 COVID-19 patients.

Methods: Whole lung segmentations were performed automatically using a deep learning-based model to extract 107 intensity and texture radiomics features. We used four feature selection algorithms and seven classifiers.

Efficacy and safety of colchicine treatment in patients with COVID-19: A prospective, multicenter, randomized clinical trial.

Colchicine has shown clinical benefits in the management of COVID-19 via its anti-inflammatory effect. However, the exact role of colchicine in COVID-19 patients is unknown. The current clinical trial was performed on 202 patients with moderate to severe COVID-19.

Safety and efficacy of Favipiravir in moderate to severe SARS-CoV-2 pneumonia.

Background: We examined the safety and efficacy of a treatment protocol containing Favipiravir for the treatment of SARS-CoV-2.

Methods: We did a multicenter randomized open-labeled clinical trial on moderate to severe cases infections of SARS-CoV-2. Patients with typical ground glass appearance on chest computerized tomography scan (CT scan) and oxygen saturation (SpO) of less than 93% were enrolled.

The challenge of deciding between home-discharge versus hospitalization in COVID-19 patients: The role of initial imaging and clinicolaboratory data.

Background/objective: It is important to predict the COVID-19 patient's prognosis, particularly in countries with lack or deficiency of medical resource for patient's triage management. Currently, WHO guideline suggests using chest imaging in addition to clinicolaboratory evaluation to decide on triage between home-discharge versus hospitalization. We designed our study to validate this recommendation to guide clinicians.

The clinical value of two combination regimens in the Management of Patients Suffering from Covid-19 pneumonia: a single centered, retrospective, observational study.

Background: There is no identified pharmacological therapy for COVID-19 patients, where potential therapeutic strategies are underway to determine effective therapy under such unprecedented pandemic. Therefore, combination therapies may have the potential of alleviating the patient's outcome. This study aimed at comparing the efficacy of two different combination regimens in improving outcomes of patients infected by novel coronavirus (COVID-19).

Work-related musculoskeletal disorders in truck drivers and official workers.

Work-related musculoskeletal disorders (WMSDs) are common among drivers and official workers. Musculoskeletal disorders are frequent causes of absenteeism in many countries. The aim of this study was to determine the prevalence of musculoskeletal disorders and risk factors associated with these symptoms.