A bibliometric analysis of studies on environmental enrichment spanning 1967-2024: patterns and trends over the years.

Environmental Enrichment (EE) has received considerable attention for its potential to enhance cognitive and neurobiological outcomes in animal models. This bibliometric analysis offers a comprehensive evaluation of the EE research spanning from 1967 to 2024, utilizing data extracted from Scopus and analyzed through R and VOSviewer. The volume of publications, citation patterns, and collaborations were systematically reviewed, highlighting important contributions and emerging trends within the field of animal research.

Unveiling the potential of gene editing techniques in revolutionizing Cancer treatment: A comprehensive overview.

Gene editing techniques have emerged as powerful tools in biomedical research, offering precise manipulation of genetic material with the potential to revolutionize cancer treatment strategies. This review provides a comprehensive overview of the current landscape of gene editing technologies, including CRISPR-Cas systems, base editing, prime editing, and synthetic gene circuits, highlighting their applications and potential in cancer therapy. It discusses the mechanisms, advantages, and limitations of each gene editing approach, emphasizing their transformative impact on targeting oncogenes, tumor suppressor genes, and drug resistance mechanisms in various cancer types.

Artificial Intelligence-Driven Computational Approaches in the Development of Anticancer Drugs.

The integration of AI has revolutionized cancer drug development, transforming the landscape of drug discovery through sophisticated computational techniques. AI-powered models and algorithms have enhanced computer-aided drug design (CADD), offering unprecedented precision in identifying potential anticancer compounds. Traditionally, cancer drug design has been a complex, resource-intensive process, but AI introduces new opportunities to accelerate discovery, reduce costs, and optimize efficiency.

Timing of Stoma Closure in Neonates: the ToSCiN mixed-methods study.

Background: Neonates undergoing emergency abdominal surgery frequently require a stoma; closing this stoma with a second operation is an essential part of recovery. Timing of closure varies. Optimal timing is unclear and would be best resolved through a randomised controlled trial; such a trial is likely to be challenging.

Evaluation of crop water stress index of wheat by using machine learning models.

The Crop Water Stress Index (CWSI), a pivotal indicator derived from canopy temperature, plays a crucial role in irrigation scheduling for water conservation in agriculture. This study focuses on determining CWSI (by empirical method) for wheat crops in the semi-arid region of western Uttar Pradesh, India, subjected to varying irrigation treatments across two cropping seasons (2021-2022 and 2022-2023). The aim is to investigate further the potential of four machine learning (ML) models-support vector regression (SVR), random forest regression (RFR), artificial neural network (ANN), and multiple linear regression (MLR) to predict CWSI.