The game of language learning and rewiring biocognitive receptors.

This study introduces a framework that integrates AI-driven Game-Based Language Teaching (GBLT) with advanced neuroscience to transform language education for visually impaired learners. Built on the principles of neuroplasticity and epigenetics, the approach leverages educational psychology with the help of adaptive AI to deliver personalized, gamified learning experiences that reshape neural pathways, improve memory retention, and strengthen emotional resilience. By fostering low-stress, immersive environments, it triggers positive epigenetic changes, enhancing long-term cognitive flexibility.

Artificial Intelligence (AI) and Liquid Biopsy Transforming Early Detection of Liver Metastases in Gastrointestinal Cancers.

Liver metastases from Gastrointestinal (GI) cancers present significant challenges in oncology, often signaling poor prognosis. Traditional detection methods like imaging and tissue biopsies have limitations in sensitivity, specificity, and tumor heterogeneity represen-tation. The advent of artificial intelligence (AI) in healthcare, driven by advancements in ma-chine learning, algorithms, and data science, offers a promising frontier for early detection and management of liver metastases.

Impact of 3D Endovision System on Learning Process of Laparoscopic Transabdominal Preperitoneal Repair of Groin Hernia.

Laparo-endoscopic hernia surgery is recommended by various international bodies. However, its uptake by general surgeon is low. We aim to assess the impact of Three Dimensional (3D) endovision system in learning laparoscopic transabdominal preperitoneal (TAPP) repair of groin hernia and transferability of skills acquired from 3D to the Two Dimensional (2D) environment.

"Brij 35 inhibited the CYP2E1-mediated metabolism and P-gp mediated transport of Paracetamol in rats and models: Amelioration of Paracetamol Toxicity.

The harmful by-product of paracetamol is known as N-Acetyl-p-benzoquinoneimine, (NAPQI). When paracetamol is given at therapeutic dosages or in excess, it undergoes Phase I metabolism in the liver via Cytochrome P-450 2E1 (CYP2E1), and then it produces NAPQI. Previous studies reported that a non-ionic surfactant known as Brij 35 (Polyoxyethylene lauryl ether) has been shown to be an effective inhibitor of CYP2E1 and P-glycoprotein (P-gp).

Performance analysis of image retrieval system using deep learning techniques.

The image retrieval is the process of retrieving the relevant images to the query image with minimal searching time in internet. The problem of the conventional Content-Based Image Retrieval (CBIR) system is that they produce retrieval results for either colour images or grey scale images alone. Moreover, the CBIR system is more complex which consumes more time period for producing the significant retrieval results.