In Situ Ag-Seeded Lamellar TiC Nanosheets: An Electroactive Interface for Noninvasive Diagnosis of Oral Carcinoma via Salivary TNF-α Sensing.

In the fast-paced quest for early cancer detection, noninvasive screening techniques have emerged as game-changers, offering simple and accessible avenues for precession diagnostics. In line with this, our study highlights the potential of silver nanoparticle-decorated titanium carbide MXene nanosheets (TiC_AgNPs) as an electroactive interface for the noninvasive diagnosis of oral carcinoma based on the prevalence of the salivary biomarker, tumor necrosis factor-α (TNF-α). An in situ reduction was utilized to synthesize the TiC_AgNPs nanohybrid, wherein TiC acts as the reducing agent, and the resulting nanohybrid was subjected to various characterization techniques to examine the optical, structural, and morphological attributes.

Biomarkers.

Background: Thyroid disorders is one of the most common endocrine disorders. It is estimated that 42 million people suffer from thyroid disorders in India. The imbalance in thyroid hormone levels can significantly impact cognitive health of older population.

Biomarkers.

Background: Physiological and mental functions decline as the person ages. However, studies have found that a group of people who are more than 80 years have better cognitive functioning than their peers and also similar to 2-3 decades younger counterpart group. These people are termed as "Superagers".

Mapping the molecular mechanism of zinc catalyzed Suzuki-Miyaura coupling reaction: a computational study.

The Suzuki-Miyaura Coupling (SMC) reaction is a powerful method for forming carbon-carbon bonds in organic synthesis. Recent advancements in SMC reactions have introduced first-row transition metal catalysts, with zinc garnering significant interest due to its cost-effective and eco-friendly nature. Despite progress in experimental protocols, the mechanistic details of zinc-catalyzed SMC reactions are limited.

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".