The frequency of osteomyelitis after pressure injury in spinal cord injury: a systematic review and meta-analysis.

Study Design: A systematic review and meta-analysis OBJECTIVE: To determine the global frequency of osteomyelitis in individuals with spinal cord injury who have pressure injuries (SCI-PI).

Methods: A comprehensive search on PubMed, EMBASE, Scopus, and the Web of Science has been conducted until November 2023. The Cochrane Handbook for Systematic Reviews was followed.

Advanced Therapy Medicinal Products in Vitiligo; Current Status, Future Prospect, and Approved Treatments.

Vitiligo is an auto-immune disease, causing depigmentation of skin in 0.2-1.8% of global population.

Grayscale Image Statistical Attributes Effectively Distinguish the Severity of Lung Abnormalities in CT Scan Slices of COVID-19 Patients.

Grayscale statistical attributes analysed for 513 extract images taken from pulmonary computed tomography (CT) scan slices of 57 individuals (49 confirmed COVID-19 positive; eight confirmed COVID-19 negative) are able to accurately predict a visual score (VS from 0 to 4) used by a clinician to assess the severity of lung abnormalities in the patients. Some of these attributes can be used graphically to distinguish useful but overlapping distributions for the VS classes. Using machine and deep learning (ML/DL) algorithms with twelve grayscale image attributes as inputs enables the VS classes to be accurately distinguished.

Optimization of Degenerate PCR Conditions for Reducing Error Rates in Detection of PKS and NRPS Gene groups in Actinomycetes.

Background: The screen of Polyketide Synthase () and Nonribosomal Peptide Synthetase () gene groups is a quick way to discover new therapeutic agents. However, errors in laboratory techniques cause a loss of touch with reality. This study aimed to evaluate the presence of and gene groups in previously isolated strains by optimizing their specialized amplification by degenerate primers and indicating the evolutionary relationships with reference strains.

Grayscale image statistics of COVID-19 patient CT scans characterize lung condition with machine and deep learning.

Background: Grayscale image attributes of computed tomography (CT) of pulmonary scans contain valuable information relating to patients with respiratory ailments. These attributes are used to evaluate the severity of lung conditions of patients confirmed to be with and without COVID-19.

Method: Five hundred thirteen CT images relating to 57 patients (49 with COVID-19; 8 free of COVID-19) were collected at Namazi Medical Centre (Shiraz, Iran) in 2020 and 2021.