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ISSN: 2543-1064

Machine learning and IoT in healthcare: Recent advancements, challenges & future direction

The integration of Machine Learning and Deep Learning with IoT-enabled devices for real-time health monitoring has significantly revolutionized healthcare. These technologies facilitate the analysis...

Decoding inflammatory signaling networks: From molecular mechanisms to therapeutic targets

This review aims to provide a comprehensive overview of inflammatory signalling pathways and their pharmacological significance in human health and disease. Inflammation signifies a basic biological...

Review on zebra fish as an alternative animal model for neurological studies

Zebrafish (Danio rerio) have emerged as a powerful alternative animal model in neurological research due to their unique combination of genetic, anatomical, and physiological characteristics. Their...

A brief history of urine examination - From ancient uroscopy to 21st century urinomics

The art of uroscopy (Greek ouron-urine and skopeo-examination), the visual inspection of urine, is as old as the history of mankind. It had seen its ups and downs, was praised and derided, but was ultimately...

Role of Akkermansia muciniphila in improving gut health for the prevention of type 2 diabetes

Chronic inflammation, gut microbial dysbiosis, and metabolic dysregulation are closely interrelated and play a significant role in the pathogenesis of type 2 diabetes, a long-recognized global health...

Biomarkers in immunology: Their impact on immune function and response

The immune system is a complex network of organs, tissues, and cells that plays a critical role in defending the body against life-threatening diseases such as infections, cancer, Alzheimer's, and Crohn's...

Therapeutic potential of black seed oil in treating rheumatoid arthritis: Insights on biochemical and genetic analyses of inflammatory signaling transducer

Nigella sativa (Black seed) has been a longstanding component of traditional medicine. Rheumatoid arthritis, an autoimmune disorder targeting bone, cartilage, and synovial cells, leads to enduring joint...

Bringing lab to the field: Exploring innovations in point-of-care diagnostics for the rapid detection and management of tropical diseases in resource-limited settings

Tropical diseases present major health challenges in regions with limited resources, where access to advanced laboratory facilities is often scarce. This study explores the innovative techniques emerging...

Influence of deproteinization and demineralization process sequences on the physicochemical and structural characteristics of chitin isolated from Deep-sea mud shrimp (Solenocera hextii)

Isolation of chitin from shrimp shell waste using chemical process is a well-adopted industrial practice due to its short process time and efficiency in removing both minerals and proteins from the...

Leveraging lean 4.0 technologies in healthcare: An exploration of its applications

Lean 4.0, a fusion of lean manufacturing and digital technologies, is a powerful tool for implementing Industry 4.0. Its widespread use across sectors is driven by its ability to eliminate waste, reduce...

The integration of artificial intelligence and biotechnology in medicine: accelerating novelty in biomarker-targeted discovery and drug delivery systems

Artificial intelligence (AI) and biotechnology are two transformative fields converging to benefit STEM because of their reliance on data and models. The tools from both fields have redefined and improved...

Deep learning-based automated detection, genetic signature identification and classification of oral lesions for early diagnosis of oral cancer

Oral cancer, particularly oral squamous cell carcinoma (OSCC), remains a major global health burden where early detection is critical for improving patient outcomes. Conventional diagnostic approaches,...

The use of machine learning algorithms in the identification of novel biomarkers for disorders of the immune system

Identifying biomarkers is critical for understanding the pathophysiology, diagnosis, and treatment of immune system disorders. Traditional biomarker discovery methods often face limitations in regard...

Amoxicillin and cotrimoxazole-driven dysbiosis disrupted blood cell levels, cytokine balance and induced oxido-nitrosative stress in young mice

Amoxicillin and cotrimoxazole are among the most frequently prescribed antibiotics, yet their impact on gut microbiota and systemic physiology, particularly during early life, remains a critical concern....

Evaluation of solvent-dependent yield and toxicity of selected spices using brine shrimp and zebrafish bioassays: Implications for aquaculture applications

Spices are widely used culinary ingredients with notable antioxidant and antibacterial properties. In aquaculture, they function as immunostimulants and natural therapies, enhancing fish health and...

Unraveling ankylosing spondylitis: Exploring the genetic and immunological factors and latest treatment innovations

Ankylosing spondylitis (AS) is a chronic inflammatory arthritis primarily affecting the spine and sacroiliac joints. Gut microbiota significantly affects ankylosing spondylitis (AS) pathophysiology....

Nanorobotics in cancer treatment: Innovations, challenges, and future prospects

Cancer is still a major worldwide health concern that calls for further precision medicine breakthroughs. With a focus on their revolutionary potential in targeted drug delivery and less invasive therapeutic...

Molecular imaging biomarkers of the tumour microenvironment: Advances in early cancer detection and treatment response monitoring

Molecular imaging of the tumor microenvironment (TME) is an excellent method for identifying cancer at an early stage and monitoring treatment progress. Emerging techniques, such as positron emission...

FRF-HHO: Early ovarian cancer prediction using explainable fuzzy random forest optimized by Harris Hawks algorithm

Ovarian cancer remains one of the most lethal gynecological malignancies, largely due to delayed diagnosis and the absence of reliable early screening tools. This study proposes an interpretable machine...

Multi-omics integration and machine learning reveal biomarker networks and therapeutic targets in Alzheimer's disease

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with limited early diagnostic options and no curative therapy. This study presents a multi-region transcriptomic and systems biology...

An in-depth exploration of CNN-based deep learning models in cervical carcinoma analysis

Cervical cancer has an extreme effect on women's health worldwide, recognized as the 4th most significant contributor to cancer fatalities among female. World Health Organization (WHO) states that there...

Ayurveda constructs as functional biomarkers: A narrative review of translational perspective on Generalized anxiety disorder

Anxiety disorders are among the most prevalent psychiatric conditions worldwide, yet the search for reliable biomarkers remains inconclusive. While modern biomedicine emphasizes measurable parameters...

Multi-omics biomarkers as emerging determinants in precision disease diagnosis and therapeutic monitoring

Biomarkers objectively measurable biological characteristics indicating normal physiology, pathological states, or pharmacological responses are indispensable to precision medicine. The convergence...

Chemical fingerprint of Centella Asiatica’s bioactive compounds in the ethanolic and aqueous extracts

Centella asiatica is a herbal plant that is widely used as medicine due to the benefit of its bioactive compounds such as rutin, kaempferol, quercetin, gallic acid, luteolin and catechin. Typically,...

Protective effects of nutritional and polyphenolic supplementation in polycystic ovarian syndromes

Hormonal abnormalities, insulin resistance, and chronic inflammation are the hallmarks of Polycystic Ovary Syndrome (PCOS), a prevalent endocrine condition affecting women of reproductive age. Oxidative...

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