Artificial intelligence as a proficient tool in detecting pulmonary tuberculosis in massive population screening programs: a case study in Chennai, India.

Objective: To evaluate the performance of Genki, a computer-aided detection (CADe) software, in detecting tuberculosis (TB) using chest radiography in a mobile TB screening program in Chennai, India.

Materials And Methods: Genki, an AI-based CADe software, was employed in four mobile diagnostic units in remote areas of Chennai, India for screening TB. Patients from remote areas of Chennai who visited the vans and registered in the screening program underwent chest radiography, and the acquired X-ray scans were analyzed using Genki, which provided an assessment of each scan as either "TB suggestive" or "TB not suggestive".

Formulation Design, Optimization, and Evaluation of Solid Lipid Nanoparticles Loaded With an Antiviral Drug Tenofovir Using Box-Behnken Design for Boosting Oral Bioavailability.

The current study aimed to improve the oral bioavailability of tenofovir (TNF), an antihuman immunodeficiency viral (HIV) drug, by integrating it into solid lipid nanoparticles (SLNs), an emerging lipid formulation. The suggested SLNs were generated utilizing the microemulsion process, using Compritol 888 ATO. A Box-Behnken experimental design was attempted to analyze the impact of critical quality attributes (CQAs), such as lipid and surfactant content and homogenization duration on response metrics such as particle size (PS) and percentage entrapment.

Magnetoelectric properties and Morin type spin transitions of Na-doped GaFeO.

The effects of Na doping on the structure magnetic, electric, and magnetoelectric properties of GaFeOwere studied. Rietveld refinement of the XRD data reveals the formation of a single-phase trigonal structure with no impurity on Na doping up to 50% and a significant increase in lattice strain with doping. FTIR and Raman analysis further supported the phase purity of the samples.

Machine Learning and GLCM Analysis for Enhanced AMD Detection in Retinal Image.

Global blindness is substantially influenced by age-related macular degeneration (AMD). It significantly shortens people's lives and severely impairs their visual acuity. AMD is becoming more common, requiring improved diagnostic and prognostic methods.