Reviewing on AI-Designed Antibiotic Targeting Drug-Resistant Superbugs by Emphasizing Mechanisms of Action.

The emergence of drug-resistant bacteria, often referred to as "superbugs," poses a profound and escalating challenge to global health systems, surpassing the capabilities of traditional antibiotic discovery methods. As resistance mechanisms evolve rapidly, the need for innovative solutions has never been more critical. This review delves into the transformative role of AI-driven methodologies in antibiotic development, particularly in targeting drug-resistant bacterial strains (DRSBs), with an emphasis on understanding their mechanisms of action.

Ethanolic Extract of Red Okra Pods Induces Aberrant Spindle Segregation and Apoptotic Cell Death by Disrupting the Wnt Signaling Pathway in Colon Cancer Cells.

Background: In approximately 80% of colorectal cancer cases, mutations in the adenomatous polyposis coli () gene disrupt the Wingless-related integration site (Wnt)/β-catenin signaling pathway, a crucial factor in carcinogenesis. This disruption may result in consequences such as aberrant spindle segregation and mitotic catastrophe. This study aimed to analyze the effectiveness of the ethanolic extract of red okra () pods (EEROP) in inducing apoptosis in colorectal cancer cells (SW480) by inhibiting the Wnt/β-catenin signaling pathway.

Alginate coated mesoporous silica nanoparticles as oral delivery carrier of curcumin and quercetin to colon cancer: preparation, optimization, characterization, and anticancer activity.

The synergistic bioactive effect of polyphenols can enhance the development of functional foods to prevent chronic diseases such as cancer. Curcumin and quercetin have been shown to possess anticancer properties. The combination of curcumin and quercetin has been shown to provide synergistic effects against cancer cell proliferation.

Segmentation of choroidal area in optical coherence tomography images using a transfer learning-based conventional neural network: a focus on diabetic retinopathy and a literature review.

Background: This study aimed to evaluate the effectiveness of DeepLabv3+with Squeeze-and-Excitation (DeepLabv3+SE) architectures for segmenting the choroid in optical coherence tomography (OCT) images of patients with diabetic retinopathy.

Methods: A total of 300 B-scans were selected from 21 patients with mild to moderate diabetic retinopathy. Six DeepLabv3+SE variants, each utilizing a different pre-trained convolutional neural network (CNN) for feature extraction, were compared.

The global prevalence and associated risk factors of Eimeria infection in domestic chickens: A systematic review and meta-analysis.

Background: Eimeria is a protozoan parasite that affects poultry, particularly chickens, causing a disease known as coccidiosis. This disease imposes substantial significant economic challenges to the poultry sector.

Objectives: The current study aimed to estimate the global prevalence and associated risk factors of Eimeria in domestic chickens.