Unveiling an innovative sustainable blue resource-ecofriendly extraction technique towards a circular economy: Optimization of natural deep eutectic solvent and ultrasonication synergistic pathways for type-I collagen refined recovery from discarded fish scales.

A vast sum of fish waste is being annually discarded by marine fishing industries imposing serious environmental pollution concerns. However, these aquatic discarded matters are captivating sources of collagen, a fibrous protein with eminent social and economic relevance. Collagen is conventionally recovered using outdated complex processes requiring many reagents, multiple steps, and extended periods.

Bioactive peptides with potential anticancer properties from various food protein sources: status of recent research, production technologies, and developments.

Recently, bioactive peptides, from natural resources, have attracted remarkable attention as nutraceutical treasures and the health benefits of their consumption have extensively been studied. Therapies based on bioactive peptides have been recognized as an innovative and promising alternative method for dangerous diseases such as cancer. Indeed, there has been enormous interest in nutraceuticals and bioactive-based chemopreventive molecules as a potential opportunity to manage chronic diseases, including cancer at different stages, rather than the traditionally used therapies.

Novel Otolaryngological and Radiological Manifestations in GAPO Syndrome.

GAPO syndrome is an exceptionally-rare autosomal recessive disorder characterized by growth retardation, alopecia, pseudoanodontia, and optic abnormalities, with fewer than 60 cases reported globally. We present the first documented case in Syria, highlighting novel otolaryngological and radiological findings that expand the clinical spectrum of this syndrome. A 27-year-old male presented with chronic right-sided otalgia, unilateral conductive hearing loss, and persistent sinonasal symptoms.

An approach for classification of breast cancer using lightweight deep convolution neural network.

The rapid advancement of deep learning has generated considerable enthusiasm regarding its utilization in addressing medical imaging issues. Machine learning (ML) methods can help radiologists to diagnose breast cancer (BCs) barring invasive measures. Informative hand-crafted features are essential prerequisites for traditional machine learning classifiers to achieve accurate results, which are time-consuming to extract.