Medicaid

The Dawn of a New Era in Low-Dose PET Imaging.

Ultra-Low-Dose F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs.

Purpose To reduce radiotracer requirements for amyloid PET/MRI without sacrificing diagnostic qualit...

Correlation-Aware Sparse and Low-Rank Constrained Multi-Task Learning for Longitudinal Analysis of Alzheimer's Disease.

Alzheimer's disease (AD), as a severe neurodegenerative disease, is now attracting more and more res...

Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD).

Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in ele...

Can low-frequency guided waves at the tibia paired with machine learning differentiate between healthy and osteopenic/osteoporotic subjects? A pilot study.

PURPOSE: Axial transmission quantitative acoustics (ax-QA) has shown to be a promising tool for asse...

Machine learning approaches for predicting high cost high need patient expenditures in health care.

BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state...

Laplacian regularized low-rank representation for cancer samples clustering.

Cancer samples clustering based on biomolecular data has been becoming an important tool for cancer ...

Deep neural network for estimating low density lipoprotein cholesterol.

BACKGROUND: LDL cholesterol (LDL-C) has been mainly estimated using the Friedewald equation, and oth...

Highly Compact Artificial Memristive Neuron with Low Energy Consumption.

Neuromorphic systems aim to implement large-scale artificial neural network on hardware to ultimatel...

Sparse identification of nonlinear dynamics for model predictive control in the low-data limit.

Data-driven discovery of dynamics via machine learning is pushing the frontiers of modelling and con...

Combined Low Dose Rate Brachytherapy and External Beam Radiation Therapy for Intermediate-Risk Prostate Cancer.

INTRODUCTION: This is a retrospective study conducted to report the tumor control and late toxicity ...

Role of Electrostatic Interactions on Supramolecular Organization in Calf-Thymus DNA Solutions under Flow.

Previous investigations were conducted on two concentrations of DNA solution: 4 mg/mL, for which it ...

Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, t...

Unsupervised feature extraction by low-rank and sparsity preserving embedding.

Manifold based feature extraction has been proved to be an effective technique in dealing with the u...

Iterative quality enhancement via residual-artifact learning networks for low-dose CT.

Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans ...

A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.

BACKGROUND: Oncotype DX(ODX) is a 21-gene breast cancer recurrence score(RS) assay that aids in deci...

Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial.

BACKGROUND: Low adherence to recommended treatments is a multifactorial problem for patients in reha...

Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles.

BACKGROUND: The conventional scores of the neuropsychological batteries are not fully optimized for ...

A Dexterous, Glove-Based Teleoperable Low-Power Soft Robotic Arm for Delicate Deep-Sea Biological Exploration.

Modern marine biologists seeking to study or interact with deep-sea organisms are confronted with fe...

Validation of a low-dose contrast 64-slice cardiac computed tomography angiography protocol for aortic valve annulus sizing.

Cardiac computed tomography angiography (CCTA) is the gold standard for accurately sizing the aortic...

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification.

Effective utilization of multi-center data for autism spectrum disorder (ASD) diagnosis recently has...