Academic Articles & Research Papers

Design and Optimization of Trastuzumab-Functionalized Nanolipid Carriers for Targeted Capecitabine Delivery: Anti-Cancer Effectiveness Evaluation in MCF-7 and SKBR3 Cells

Shubhashree Das,1 Bhabani Sankar Satapathy,2 Gurudutta Pattnaik,1 Sovan Pattanaik,3 Yahya Alhamhoom,4 Mohamed Rahamathulla,4 Mohammed Muqtader Ahmed,5 Ismail Pasha6 1Department of Pharmaceutics, School of Pharmacy and Life Sciences, Centuri...

Medical Informatics

Information technology has been revolutionizing the everyday life of the common man, while medical science has been making rapid strides in understanding disease mechanisms, developing diagnostic techniques and effecting successful treatmen...

Assessing pain knowledge among community nurses in Singapore: A pre- and post-education course study

Background Community nurses play a crucial role in managing pain, a prevalent yet often inadequately addressed symptom in community settings. Persistent knowledge gaps among healthcare providers contribute to inconsistent pain management, p...

Increased Postural Demand Is Associated With Greater Cognitive Workload in Healthy Young Adults: A Pupillometry Study

Introduction: Balance tasks require cognitive resources to ensure postural stability. Pupillometry has been used to quantify cognitive workload of various cognitive tasks, but has not been studied in postural control. The current investigat...

Nanoparticles: Taking a Unique Position in Medicine

The human nature of curiosity, wonder, and ingenuity date back to the age of humankind. In parallel with our history of civilization, interest in scientific approaches to unravel mechanisms underlying natural phenomena has been developing. ...

From neuromodulation to bone homeostasis: therapeutic targets of nerve growth factor in skeletal diseases

The skeletal system is an important support structure in the human body, and its homeostatic state is highly relevant to the development of a wide range of orthopaedic diseases. The search for key regulatory factors associated with skeletal...

Exploring Potential Therapeutic Applications of Tazarotene: Gene Regulation Mechanisms and Effects on Melanoma Cell Growth

Tazarotene, a retinoid derivative, is widely used in treating skin conditions such as psoriasis and acne. Recent studies have demonstrated its potential as a promising therapeutic agent for treating melanoma in situ. Its primary mechanism o...

Recent advances in surface functionalization of cardiovascular stents

Cardiovascular diseases (CVD) are the leading global threat to human health. The clinical application of vascular stents improved the survival rates and quality of life for patients with cardiovascular diseases. However, despite the benefit...

Review of Medical Microbiology and Immunology

Essential for USMLE review and medical microbiology coursework! Review of Medical Microbiology and Immunology is a succinct, high-yield review of the medically important aspects of microbiology and immunology. It covers both the basic and c...

Cancer Immunology

This review is a comprehensive account of the current status of tumor immunology, beginning with the identification of human tumor antigens and ending with a summary of clinical applications of what we know about the immunology of tumors....

Probiotics in Nanotechnology-Driven Wound Healing: From Mechanistic Insight to Clinical Promise

Chronic wounds, including diabetic foot ulcers and pressure sores, are becoming more prevalent due to aging populations and increased metabolic problems. These wounds often persist due to impaired healing, chronic inflammation, oxidative st...

Encapsulation of granulocyte colony-stimulating factor and granulocyte-macrophage colony-stimulating factor in liposomes prepared by thin film hydration and their transfer to mesenchymal stem cells and cord blood hematopoietic stem cells

Introduction Cytokines are important immune modulator factors controlling homeostasis of the body and are involved in tissue regeneration after wound healing. The encapsulation of cytokines in liposomes has many advantages potentially usefu...

Natural language processing in an operational clinical information system

Abstract This paper describes a natural language text extraction system, called MEDLEE, that has been applied to the medical domain. The system extracts, structures, and encodes clinical information from textual patient reports. It was inte...

Natural Language Processing Technologies in Radiology Research and Clinical Applications

The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. How...

A systematic review of natural language processing applied to radiology reports

BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...

Natural language processing and its future in medicine

If accurate clinical information were available electronically, automated applications could be developed to use this information to improve patient care and lower costs. However, to be fully retrievable, clinical information must be struct...

Hyperspectral imaging and machine learning in brain tumor surgery: Current evidence, clinical applications, and future directions.

Computed tomography anatomy of the pony thorax and abdomen and an example of a clinical application.

Data Efficient Vision Transformer Based Model for Brain Tumor Classification in MRI

Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...

Deep learning for cardiovascular medicine: a practical primer

Deep learning (DL) is a branch of machine learning (ML) showing increasing promise in medicine, to assist in data classification, novel disease phenotyping and complex decision making. Deep learning is a form of ML typically implemented via...