Search
136 articles for “Clinical validation”
-
Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
-
3D-Printed Polymeric Drug Delivery Systems for Personalized Medicine
Abstract: Personalized medicine has revolutionized healthcare by tailoring treatments to individual patient needs. Among the emerging technologies, 3D printing has demonstrated immense potential in fabricating polymeric drug delivery systems with precise control over drug release, dosage, and bioavailability. These systems offer customized therapeutic solutions, improving efficacy while reducing adverse effects. This paper provides an overview of 3D-printed polymeric drug delivery systems, discussing the types of polymers used, fabrication techniques, applications in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 313–325 Read article
-
Relevance of Unani Medicine (Greco-Arab Medicine) in Management of Bawāsῑr (Hemorrhoids): An Updated Review
Abstract: Hemorrhoids is a prevalent anorectal disease with substantial compromise in quality of life, and various important factors are implicated in its causation. Increased abdominal pressure, excessive straining and hard stool lead to the venous engorgement of the hemorrhoidal plexus clinically characterized by per rectal bleeding, thrombosis and symptomatic prolapse of haemorrhoidal mass. In Unani System of medicine, the primary cause for the development of hemorrhoidal disease is focal retention of …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 7, Issue 2, 2020 · pp. 20–27 Read article
-
A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
-
A Combined Molecular Docking Analysis of The Phytochemicals of Ginkgo biloba against The Parkin Protein Target (Autoinhibited Parkin Catalytic Domain)
Abstract: This study's goal is to evaluate the specific therapeutic targets for Parkinson's disease (PDB ID: 4BM9) using molecular docking simulation and ADME analysis against bilobalide, quercetin, ginkgolide B, and protocatechuic acid (3,4-Dihydroxybenzoic acid). The Protein Data Base was used to extract theprotein's three-dimensional structure, and the PubChem database was used to retrieve the ligands. Using Auto-Dock Tools-1.5.7, a molecular docking simulation of the compounds was carried out. Since none of …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
-
Barg-e-Tulsi (Ocimum sanctum Linn.) in Unani Medicine: Bridging Classical Therapeutics with Contemporary Pharmacological Evidence
Abstract: In the Unani System of Medicine (USM), Barg-e-Tulsi (Ocimum sanctum Linn.), commonly known as Tulsi or Holy Basil, is a highly valued medicinal herb that has been extensively used for centuries in the prevention and treatment of various ailments. It occupies an important place in traditional Unani therapeutics due to its broad spectrum of medicinal properties and its effectiveness in managing respiratory, gastrointestinal, neurological, and infectious disorders. Classical Unani scholars …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article
-
Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
-
Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
-
Herbal Frontiers: The Role of Alternative Remedies in Combating Typhoid Fevers
Abstract: Typhoid fever, caused by Salmonella typhi, remains a major health challenge, particularly in developing regions where sanitation and healthcare resources are limited. With an estimated global incidence of 17 million cases annually, the disease poses a significant public health burden. The growing resistance to conventional antibiotics, such as fluoroquinolones and third-generation cephalosporins, exacerbates treatment challenges. This has spurred interest in alternative remedies, including herbal and homeopathic treatments.Herbal medicine offers a …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
-
AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
-
Advances in Simulation and Surgical Skill Training Evolution: Narrative Integrative Review
Abstract: Simulation-based education has emerged as a cornerstone of contemporary general surgery training, driven by increasing emphasis on patient safety, competency-based education, and rapid technological innovation. Traditional apprenticeship models, while foundational, are constrained by reduced operative exposure, work-hour limitations, and variability in clinical case mix. In this context, simulation provides a structured, reproducible, and safe environment for acquisition, assessment, and refinement of surgical skills across the training continuum. This narrative review …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–13 Read article
-
The Evaluation of the Light Parameters and Pleural Fluid Cholesterol to Determine the Differences Between Exudative and Transudative Pleural Discharge
Abstract: Background: Pleural effusion occurs when an imbalance between pleural fluid production and absorption leads to the accumulation of excess fluid in the pleural cavity. Pleural effusions are commonly classified into two types: transudative or exudative, depending on the underlying mechanism of fluid formation. While transudates typically result from systemic factors like heart failure or liver cirrhosis, exudates are usually caused by local factors such as infection, malignancy, or inflammation. Differentiating …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 30–35 Read article
-
Drug-Induced Liver Injury: Hepatotoxicity and Treatment - A Literature Review
Abstract: Drug-induced liver injury (DILI) is a major clinical and regulatory challenge, posing risks to patient safety and drug development worldwide. As the primary organ responsible for xenobiotic metabolism, the liver is particularly susceptible to toxic injury from prescription drugs, over-the-counter medications, herbal products, and dietary supplements. Drug-induced liver injury (DILI) accounts for a substantial proportion of acute liver failure cases and remains a leading cause of post-marketing drug withdrawal. Its …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 1, 2026 · pp. 1–17 Read article
-
Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
-
A Comprehensive Review of Analytical Method – Development and Method Validation of Digoxin Tablets
Abstract: The main objective of this review is to give an outline of the method development and validation process of digoxin, and this review covers the different types of spectroscopic and chromatographic techniques, such as HPLC, UHPLC-Tandem mass spectroscopy, TLC, and LC-MS. A novel method for the determination of digoxin in biological samples has been developed and validated, focusing on improving sensitivity, specificity, and reproducibility. The method was validated in terms …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 47–58 Read article
-
Nanotechnology In Herbal Medicine
Abstract: Herbal medicine has been widely used for centuries as a natural and holistic approach to health care. However, many herbal compounds face challenges such as low solubility, low bioavailability, instability, and the lack of targeted delivery, which affect their efficacy. The integration of nanotechnology into herbal medicine has emerged as a promising strategy to overcome these challenges and enhance the pharmacological potential of plant-derived compounds. Nanocarriers such as liposomes, solid …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 50–69 Read article
-
Clinical Utility of Electroglottography and Videostroboscopy: A Correlational Study
Abstract: Voice serves as a unique identity of an individual which is derived from laryngeal features. Any deviance in the voice quality is considered abnormal and thus seeks clinical attention. Speech-Language Pathologist (SLP) plays an important role in the assessment and diagnosis of voice-related disorders. Although perceptual evaluation is a gold standard, objective methods augment the accuracy of the diagnosis of voice disorders. Electroglottography (EGG) is one such commonly used non-invasive …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 3, 2019 · pp. 1–10 Read article
-
Role of Topical Onion Extract in Scar Management at Donor Site
Abstract: Scarring is commonly caused by an imbalance between collagen synthesis and degradation. One promising approach to mitigate scar formation involves the use of onion extract, known for its ability to inhibit fibroblast activity, which plays a key role in the development of scars. Despite the widespread use of onion extract in various commercial scar treatment products, the exact molecular mechanisms through which it exerts its scar-reducing effects remain unclear.This study …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 7–11 Read article
-
Second Generation Platelet Rich Concentrates and Their Role in Periodontal Therapy: A Review
Abstract: Periodontal tissue regeneration has always been a challenge for the periodontists. Regeneration of lost tooth supporting structure by periodontitis is a primary goal of periodontal therapy. Platelet rich blood derivatives have been widely used in the field of dentistry. In recent years, platelet rich blood derivatives have gained more attention in periodontal regeneration. Platelet rich blood derivative which include platelet-rich plasma (PRP), platelet-rich fibrin (PRF), platelet-derived growth factors (PDGF), have …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 1, 2019 · pp. 24–30 Read article
-
Perception of Medical Students about Electronic Discharge Summaries
Abstract: On the increase is the utilization of electronic discharge summaries (EDS) for clinical perspective as well as for research; but rarely studies have been made in recent years which look at the perspectives of medical students regarding usage of EDS. Medical students are a critical stakeholder in the hospital operations and they can provide useful analysis on everyday processes that impact patient care throughout the process of discharge summary. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 2, Issue 3, 2012 · pp. 18–29 Read article