Search
Search Results
-
Parent clinical trial priorities for fragile X syndrome: a best–worst scaling
An expansion in the availability of clinical drug trials for genetic neurodevelopmental conditions is underway. Delineating patient priorities is key...
-
Ventilation and perfusion MRI at a 0.35 T MR-Linac: feasibility and reproducibility study
BackgroundHybrid devices that combine radiation therapy and MR-imaging have been introduced in the clinical routine for the treatment of lung cancer....
-
Understanding the experience, treatment preferences and goals of people living with chronic lymphocytic leukemia (CLL) in Australia
BackgroundListening to patient voices is critical, in terms of how people experience their condition as well as their treatment preferences. This...
-
Lupus nephritis or not? A simple and clinically friendly machine learning pipeline to help diagnosis of lupus nephritis
ObjectiveDiagnosis of lupus nephritis (LN) is a complex process, which usually requires renal biopsy. We aim to establish a machine learning pipeline...
-
Systemic lupus erythematosus with high disease activity identification based on machine learning
ObjectiveClinical evaluation of systemic lupus erythematosus (SLE) disease activity is limited and inconsistent, and high disease activity...
-
A systematic evaluation of normalization methods and probe replicability using infinium EPIC methylation data
BackgroundThe Infinium EPIC array measures the methylation status of > 850,000 CpG sites. The EPIC BeadChip uses a two-array design: Infinium Type I...
-
Tenets and Methods of Fractal Analysis (1/f Noise)
This chapter deals with the methodical challenges confronting researchers of the fractal phenomenon known as pink or 1/f noise. This chapter...
-
American Football Helmet Effectiveness Against a Strain-Based Concussion Mechanism
Brain strain is increasingly being used in helmet design and safety performance evaluation as it is generally considered as the primary mechanism of...
-
Meningioma DNA methylation groups identify biological drivers and therapeutic vulnerabilities
Meningiomas are the most common primary intracranial tumors. There are no effective medical therapies for meningioma patients, and new treatments...
-
Comparison of Three Automated Approaches for Classification of Amyloid-PET Images
Automated amyloid-PET image classification can support clinical assessment and increase diagnostic confidence. Three automated approaches using...
-
Dutch, UK and US professionals’ perceptions of screening for Barrett’s esophagus and esophageal adenocarcinoma: a concept map** study
BackgroundNovel, less-invasive technologies to screen for Barrett’s esophagus (BE) may enable a paradigm shift in early detection strategies for...
-
Instance-based learning with prototype reduction for real-time proportional myocontrol: a randomized user study demonstrating accuracy-preserving data reduction for prosthetic embedded systems
AbstractThis work presents the design, implementation and validation of learning techniques based on the kNN scheme for gesture detection in...
-
Time series analysis of malaria cases to assess the impact of various interventions over the last three decades and forecasting malaria in India towards the 2030 elimination goals
BackgroundDespite the progress made in this decade towards malaria elimination, it remains a significant public health concern in India and many...
-
Neural manifold analysis of brain circuit dynamics in health and disease
Recent developments in experimental neuroscience make it possible to simultaneously record the activity of thousands of neurons. However, the...
-
Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
PurposeCoronavirus 2019 (COVID-19) had major social, medical, and economic impacts globally. The study aims to develop a deep-learning model that can...
-
Design and implementation of a hybrid cloud system for large-scale human genomic research
In the field of genomic medical research, the amount of large-scale information continues to increase due to advances in measurement technologies,...
-
A statistical shape modeling approach for predicting subject-specific human skull from head surface
Human skull is an important body structure for jaw movement and facial mimic simulations. Surface head can be reconstructed using 3D scanners in a...
-
Systematic evaluation of high-throughput PBK modelling strategies for the prediction of intravenous and oral pharmacokinetics in humans
Physiologically based kinetic (PBK) modelling offers a mechanistic basis for predicting the pharmaco-/toxicokinetics of compounds and thereby...
-
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++
ObjectiveRadiomic and deep learning studies based on magnetic resonance imaging (MRI) of liver tumor are gradually increasing. Manual segmentation of...
-
Selection of the most sensitive configuration of strip array detectors for x-ray beam monitoring in radiotherapy of cancer utilizing singular value decomposition
We propose a concise mathematical framework in order to compare detector configurations efficiently for x-ray beam monitoring in radiotherapy of...
