Search
135 articles for “genetic improvement”
-
Extended-spectrum beta-lactamases (ESBLs) and Metallo-beta-lactamases (MBLs): A Review
Abstract: Gram-negative bacteria produce extended-spectrum beta-lactamases (ESBLs) and metallo-beta-lactamases (MBLs), enzymes that play a crucial role in antibiotic resistance. These enzymes enable the bacteria to withstand a wide array of beta-lactam antibiotics, including penicillins, cephalosporins, and carbapenems. The production of these enzymes, particularly by organisms, such as Escherichia coli and Klebsiella pneumoniae, complicates treatment options for severe infections, leading to increased morbidity and mortality in clinical settings. ESBLs are primarily responsible …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 2, 2025 · pp. 8–19 Read article
-
A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
-
The Impact of Nanotechnology in Transforming Neuro-oncology - A Comprehensive Review
Abstract: The treatment of central nervous system (CNS) tumours, including aggressive malignancies like glioblastoma, faces significant challenges. The blood–brain barrier (BBB) blocks nearly 98% of small-molecule drugs from achieving therapeutic levels in the brain, and the heterogeneity of these tumours frequently contributes to treatment resistance and poor outcomes. Traditional approaches, including chemotherapy and radiotherapy, are hindered by systemic toxicity and inadequate drug penetration. Nanotechnology provides a promising alternative, as nanoparticles (NPs) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 627–637 Read article
-
Liposomes as Therapeutic Vehicles: Advancing Targeted Drug Delivery in Healthcare
Abstract: Liposomes represent an innovative approach to targeted drug delivery. These tiny, lipid-based vesicles can encapsulate medications, allowing them to travel directly to diseased cells while minimizing impact on healthy tissues. By using liposomes, medications can improve their effectiveness while reducing side effects, leading to better overall treatment results.. Their structure enables a controlled release of the drug, which can be particularly beneficial for therapies requiring sustained action. This technology holds …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 39–46 Read article
-
The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
-
Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
-
Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
-
Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems
Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 Read article
-
Biophilic Design in Healthcare Centre
Abstract: The human affinity towards nature is innately genetic and has a strong correlation with human well- being. This innate affiliation towards nature has been coined as Biophilia which focuses on the growing need for human interaction with nature, nature-like elements, and the natural environment in and around the built form for improving human well-being. Biophilic design can also provide physical opportunities offered through its design considerations in the realization of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 31–50 Read article
-
How Scientists Look for New Pathogens Before They Spread
Abstract: Emerging infectious illnesses are a persistent danger to global health. They often come from unexpected places, such wildlife reservoirs, changes in the climate, or human activities. Finding new diseases before they create epidemics is one of the biggest problems in modern epidemiology. This article talks about how scientists use genetic monitoring, field sampling, and real-time data processing to find, track, and describe new infectious organisms in a way that works …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 11–17 Read article
-
Bacteriophage Therapy in Dairy Farming: A Potential Alternative to Antibiotics
Abstract: The widespread use of antibiotics in dairy farming to control bacterial infections has led to significant challenges, including the emergence of antibiotic-resistant bacteria and concerns over antibiotic residues in milk. Consequently, there is an increasing demand for alternative approaches to control bacterial infections in dairy cattle. One promising solution is bacteriophage therapy, which uses viruses that selectively infect and destroy bacteria. As a result, the need for new strategies to …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 1–5 Read article
-
Angioedema-Diagnosis & Management
Abstract: Angioedema (AE) encompasses a diverse range of conditions categorized into three main groups: (1) angioedema mediated by histamine (AE-H); (2) angioedema mediated by bradykinin (AE-BK); and (3) angioedema with an unknown mechanism (AE-UNK). It can manifest on any part of the body, though commonly affected areas include the face, lips, mouth, throat, larynx, extremities, genital regions, and gastrointestinal tract. AE-H can occur by itself or in conjunction with chronic urticaria, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 9–21 Read article
-
Beyond Generalized Treatment: The Future is Personalized Medicine
Abstract: Personalized medicine, which is also called as precision medicine, is reestablishing the view of new healthcare by replacing the traditional "one-size-fits-all" approach with individual therapies made according to a patients unique genomic organization, environment, and lifestyle. This article talks about the scientific foundation, important applications, ethical challenges, and the significant potential of personalized medicine in enhancing the clinical outcomes. From oncogenic and genetic disorders to chronic diseases, the addition of …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 Read article
-
The Curious Case of the Sphered Blood Cells: Unveiling Hereditary Spherocytosis
Abstract: Hereditary spherocytosis (HS) is an inherited blood disorder that disrupts the shape and flexibility of red blood cells (RBCs) due to genetic mutations. These abnormal, sphere-shaped RBCs, called spherocytes, are prematurely destroyed in the spleen, leading to hemolytic anemia. Symptoms range from mild fatigue to chronic weakness and shortness of breath. While incurable, Hereditary spherocytosis can be effectively managed. Regular monitoring, folic acid supplementation, and in severe cases, splenectomy (surgical …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 49–57 Read article
-
Pharmacovigilance And Drug-Induced Toxicities: A Clinical Perspective
Abstract: Pharmacovigilance, which aims to detect, assess, and prevent medication-induced toxicities and adverse drug reactions (ADRs), is a crucial part of healthcare. This study examines the several kinds of drug-induced toxicities, such as idiosyncratic, dose-dependent, and allergic reactions, and emphasizes the function of clinical pharmacists in the tracking and treatment of these illnesses. Pharmacovigilance systems are crucial because they can identify and handle drug-related safety issues that might not surface during …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 3, 2024 · pp. 17–30 Read article
-
FDA Drug Approvals 2024: A Comprehensive Review
Abstract: The year 2024 has been pivotal for the pharmaceutical industry, with the U.S. Food and Drug Administration (FDA) granting approval to a diverse array of new drugs. These approvals highlight significant strides in therapeutic innovation, targeting a spectrum of diseases from rare genetic disorders to prevalent chronic conditions. This article provides a detailed examination of the FDA-approved drugs of 2024, focusing on their therapeutic indications, mechanisms of action, and the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 28–46 Read article
-
Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
-
RNA- Based Drug Delivery, Current Advances, Pharmaceutical Applications, and Future Perspectives
Abstract: RNA-based therapeutics have emerged as a transformative approach in modern medicine due to their ability to regulate gene expression with high specificity and precision. Advances in molecular biology, RNA chemistry, and nanotechnology have accelerated the development of diverse RNA modalities, including messenger RNA (mRNA), small interfering RNA (siRNA), microRNA (miRNA), antisense oligonucleotides (ASOs), and RNA aptamers. These therapeutics offer promising strategies for the treatment of cancer, genetic disorders, infectious diseases, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 Read article
-
FMR1 Key Biomarker in Fragile X Syndrome- A Comprehensive Review
Abstract: Fragile X Syndrome (FXS) is a complicated neurodevelopmental condition that causes intellectual disabilities, behavioural issues, and a variety of physical symptoms. Central to understanding FXS is the Fragile X Mental Retardation 1 (FMR1) gene, pivotal in the disorder's pathogenesis. This review examines FMR1 as a key biomarker in FXS, drawing on recent research insights. The FMR1 gene, situated on the X chromosome, encodes the fragile X mental retardation protein (FMRP), …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 8–18 Read article
-
The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article