Academic Articles & Research Papers

Fundus imaging based quantum computing: Grading of severity of vision threatening diabetic retinopathy

Diabetic Retinopathy (DR) is a major complication of diabetes that can result in irreversible vision loss if not detected early. Manual ophthalmologic screening is time-consuming and subject to subjectivity, underscoring the need for accura...

The state of quantum computing applications in health and medicine

Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...

Quantum Computing in Medicine

Quantum computing (QC) represents a paradigm shift in computational power, offering unique capabilities for addressing complex problems that are infeasible for classical computers. This review paper provides a detailed account of the curren...

FAULT-DIAGNOSIS IN FULLY DISTRIBUTED SYSTEMS

The problem of diagnosis of failures, at the system level, in large, truly distributed networks of processing elements is considered. A model proposed earlier, in which nodes of the network perform tests upon certain neighboring nodes and p...

Diagnosis and Communication in Distributed Systems

This paper discusses diagnosis problems in distributed systems within the context of a language-theoretic discrete event formalism. A distributed system is seen as a system with multiple spatially separated sites with each site having a dia...

A neural-network-based detection of epilepsy

Diagnosis of epilepsy is primarily based on scalp-recorded electroencephalograms (EEG). Unfortunately the long-term recordings obtained from 'ambulatory recording systems' contain EEG data of up to one week duration, which has introduced ne...

A Diagnostic Algorithm Based on Urine Antigen and Blood Polymerase Chain Reaction Testing for Visceral Leishmaniasis in HIV-Coinfected Patients in Northwest Ethiopia.

Mucosal protrusion angle measured on capsule endoscopy for the diagnosis of small bowel submucosal tumors: a preliminary exploration of diagnostic accuracy based on a case series.

Enhancing Psychiatry Training Using an Agentic AI Simulated Consultation Tool: Prospective Cohort Study

Abstract BackgroundCanadian psychiatry residents must demonstrate consultation competency, assessed using the standardized assessment of a clinical encounter report (STACER). However, opportunities to practice these skills and r...

Utility of Bone Marrow Cell Block in the Diagnosis of Haematological Disorders: A Cross-sectional Study

Introduction: The examination of Bone Marrow Aspirate (BMA) smears and Biopsies (BMBx) are well established in the diagnosis of various haematological and non-haematological disorders. While both techniques have unique advantages over the o...

Development and validation of an online dynamic nomogram based on the atherogenic index of plasma to screen nonalcoholic fatty liver disease

Abstract Background Nonalcoholic fatty liver disease (NAFLD), a common liver disease worldwide, can be reversed early in life with lifestyle and medical interventions. This study aimed to develop a noninvasive tool to screen NAFLD accuratel...

Statistics Explained

An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and enco...

Advancing sovereign ESG performance in China through renewable energy industrialization and government effectiveness

Abstract This study examines the relationship between renewable energy use, industrialization, governance effectiveness, population growth, and technological innovation, and sovereign environmental, social, and governance (ESG) performance,...

Sensitivity and Features of Computed Tomography in Diagnosis of COVID-19 Pneumonia: A Meta-analysis

Introduction: Early diagnosis of COVID-19 is important for disease treatment and management. Computed Tomography (CT) is a fast and easy modality for diagnosis and management plan of patients with COVID-19. In the literature, several stu...

Bridging Deep Learning and Quantum Computing for EEG-Driven P300 Targeted ASD Response Detection

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition whose diagnosis relies heavily on subjective behavioral assessments. Electroencephalography (EEG) provides an inexpensive and non-invasive method of objective biomarker detect...

Magnetic field reconstruction from proton radiography via physics-guided out-of-distribution filtering

Reconstructing multidimensional vector fields from path-integrated projection data is a fundamental challenge in high-energy-density physics, particularly when experimental sources exhibit spectral broadening and shot-to-shot jitter. We pre...

Nonclassicality and Coherent Error Detection via Pseudo-Entropy

Pseudo-entropy is a complex-valued generalization of entanglement entropy defined on non-Hermitian transition operators and induced by post-selection. We present a simulation-based protocol for detecting nonclassicality and coherent errors ...

Molecular monitoring of insecticide resistance in major disease vectors in Armenia

Abstract Background Armenia is considered particularly vulnerable to life-threatening vector-borne diseases (VBDs) including malaria, West Nile virus disease and leishmaniasis. However, information relevant for the control of the vectors of...

Encyclopedia of Molecular Biology

The field of molecular biology has revolutionized the study of biology. The applications to medicine are enormous, ranging from diagnostic techniques for disease and genetic disorders, to drugs, to gene therapy. Focusing on the fundamentals...

Molecular Biology and Biotechnology

One of the exciting aspects of being involved in the field of molecular biology is the ever-accelerating rate of progress, both in the development of new methodologies and the practical applications of these methodologies. This popular text...