Molecular Mechanism of lncRNAs in Regulation of Breast Cancer Metastasis; a Comprehensive Review.

Although the number of breast cancer deaths has decreased, and there have been developments in targeted therapies and combination treatments for the management of metastatic illness, metastatic breast cancer is still the second most common cause of cancer-related deaths in U.S. women.

An overview of lncRNA NEAT1 contribution in the pathogenesis of female cancers; from diagnosis to therapy resistance.

Despite the ongoing progress in detecting and treating cancer, there is still a need for extensive research into the molecular mechanisms involved in the emergence, progression, and resistance to recurrence of female reproductive tissue-specific cancers such as ovarian, breast, cervical, and endometrial cancers. The nuclear paraspeckle assembly transcript 1 (NEAT1) is a long non-coding RNA (lncRNA) that exhibits increased expression in female tumors. Moreover, elevated levels of NEAT1 have been associated with poorer survival outcomes in cancer patients.

Safety and efficacy of stem cell therapy for Crohn's disease: an umbrella review of systematic reviews.

Background: Crohn's disease is a chronic, relapsing form of inflammatory bowel disease marked by severe gastrointestinal inflammation and a broad range of debilitating symptoms. Despite advances in medical treatments, achieving sustained remission remains challenging for many patients. This umbrella review aims to consolidate evidence from various systematic reviews to evaluate the efficacy and safety of stem cell therapies in treating Crohn's disease.

Optically induced trion formation and its control in a MoS/graphene van der Waals heterostructure.

Monolayer 2D transition metal dichalcogenides (TMDs) show high sensitivity to the local dielectric environment, leading to modulation of their optoelectronic properties. Here, we report on the formation of localized trions in a MoS/few-layer graphene van der Waals heterostructure. We performed temperature-dependent photoluminescence and Raman studies down to 80 K, to understand the mechanism for localized charge excitation, which shows contrasting behaviour with MoS/SiO.

Synthesis, characterization, and applications of starch-based nano drug delivery systems for breast cancer therapy: A review.

The review examined the potential of starch-based drug delivery systems for managing breast cancer efficiently. It covered the background of breast cancer and the significance of drug delivery systems in treatment enhancement. Starch, known for its versatile physicochemical properties, was explored as a promising biopolymer for drug delivery.

Colorimetric and Fluorimetric Detection of Fe(III) Using a Rhodamine-Imidazole Hydrazone Based Chemosensor: Photophysical Properties, DFT, TGA, and DSC Studies.

Rhodamine-imidazole hydrazones (RIH-1 & RIH-2) based chemosensors have been synthesized. These are characterised and evaluated by FT-IR spectroscopy, H-NMR, C-NMR, LCMS, absorption and fluorescence spectroscopy. These chemosensors exhibit enhanced sensitivity and selectivity in detecting the biologically significant Fe metal ion through both colorimetric and fluorescence changes.

Multi-objective resistance-capacitance optimization algorithm: An effective multi-objective algorithm for engineering design problems.

Focusing on practical engineering applications, this study introduces the Multi-Objective Resistance-Capacitance Optimization Algorithm (MORCOA), a new approach for multi-objective optimization problems. MORCOA uses the transient response behaviour of resistance-capacitance circuits to navigate complex optimization landscapes and identify global optima when faced with many competing objectives. The core approach of MORCOA combines a dynamic elimination-based crowding distance mechanism with non-dominated sorting to generate an ideal and evenly distributed Pareto front.

MicroRNA-enriched exosome as dazzling dancer between cancer and immune cells.

Exosomes are widely recognized for their roles in numerous biological processes and as intercellular communication mediators. Human cancerous and normal cells can both produce massive amounts of exosomes. They are extensively dispersed in tumor-modeling animals' pleural effusions, ascites, and plasma from people with cancer.

AI-driven innovations in Alzheimer's disease: Integrating early diagnosis, personalized treatment, and prognostic modelling.

Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research and clinical practice due to its complex etiology and progressive nature. The integration of artificial intelligence (AI) into the diagnosis, treatment, and prognostic modelling of AD holds promising potential to transform the landscape of dementia care. This review explores recent advancements in AI applications across various stages of AD management.

Leveraging AI for the diagnosis and treatment of autism spectrum disorder: Current trends and future prospects.

The integration of artificial intelligence (AI) into the diagnosis and treatment of autism spectrum disorder (ASD) represents a promising frontier in healthcare. This review explores the current landscape and future prospects of AI technologies in ASD diagnostics and interventions. AI enables early detection and personalized assessment of ASD through the analysis of diverse data sources such as behavioural patterns, neuroimaging, genetics, and electronic health records.

Alzheimer's Disease Pathology and Assistive Nanotheranostic Approaches for Its Therapeutic Interventions.

Alzheimer's disease (AD) still prevails and continues to increase indiscriminately throughout the 21st century, and is thus responsible for the depreciating quality of health and associated sectors. AD is a progressive neurodegenerative disorder marked by a significant amassment of beta-amyloid plaques and neurofibrillary tangles near the hippocampus, leading to the consequent loss of cognitive abilities. Conventionally, amyloid and tau hypotheses have been established as the most prominent in providing detailed insight into the disease pathogenesis and revealing the associative biomarkers intricately involved in AD progression.

Two-dimensional Graphene/MoS2 vertical heterostructure for detection of hemoglobin concentration in blood samples.

This study demonstrates the use of computational methods to simulate the molecular dynamics involved in hemoglobin concentration sensing, utilizing Material Studio and the TCAD Silvaco device simulator. A non-invasive and flexible Graphene/MoS2 heterostructure has been proposed for sensing hemoglobin concentration in blood samples. The findings reveal a notable shift in the wavelength-dependent refractive index and extinction coefficient, as well as significant changes in the absorption coefficient and reflectivity of the Graphene/MoS2 heterostructure in response to different hemoglobin concentrations, specifically within an approximate range of 0.