Results 1 to 10 of about 4,023,817 (302)

Mapping the reach of a rural Transitions Nurse Program for veterans with geographic information systems

Implementation Science Communications, 2020
Purpose Rural Veterans who receive inpatient care at a Veterans Health Administration (VA) tertiary facility can face significant barriers to a safe transition home.
Brigid Connelly, Lexus L. Ujano-De Motta, Chelsea Leonard, Ashlea Mayberry, Lynette Kelley, David Gaskin, Heather M. Gilmartin   +6 more
doaj   +1 more source

Attacking O-RAN Interfaces: Threat Modeling, Analysis and Practical Experimentation

IEEE Open Journal of the Communications Society
A new generation of open and disaggregated Radio Access Networks (RANs) enabling multi-vendor, flexible, and cost-effective deployments is being promoted by the Open Radio Access Network (O-RAN) Alliance.
Pau Baguer, Girma M. Yilma, Esteban Municio, Gines Garcia-Aviles, Andres Garcia-Saavedra, Marco Liebsch, Xavier Costa-Perez   +6 more
doaj   +1 more source

PhageLeads: Rapid Assessment of Phage Therapeutic Suitability Using an Ensemble Machine Learning Approach

Viruses, 2022
The characterization of therapeutic phage genomes plays a crucial role in the success rate of phage therapies. There are three checkpoints that need to be examined for the selection of phage candidates, namely, the presence of temperate markers ...
Kumarasan Yukgehnaish, Heera Rajandas, Sivachandran Parimannan, Ravichandran Manickam, Kasi Marimuthu, Bent Petersen, Martha R. J. Clokie, Andrew Millard, Thomas Sicheritz-Pontén   +8 more
doaj   +1 more source

Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolution

Implementation Science Communications
Background Implementation strategies are essential to deliver evidence-based programs that align with local context, resources, priorities, and preferences. However, it is not always clear how specific strategies are selected (vs.
Russell E. Glasgow, Marina S. McCreight, Brianne Morgan, Heidi Sjoberg, Anne Hale, Lexus Ujano-De Motta, Lauren McKown, Rachael Kenney, Heather Gilmartin, Christine D. Jones, Joseph Frank, Borsika A. Rabin, Catherine Battaglia   +12 more
doaj   +1 more source

Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma

Nature Communications
Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness and
Anahita Fathi Kazerooni, Adam Kraya, Komal S. Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana M. Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R. Lueder, Saksham Phul, Mateusz Koptyra, Phillip B. Storm, Jeffrey B. Ware, Yuanquan Song, Christos Davatzikos, Jessica B. Foster, Sabine Mueller, Michael J. Fisher, Adam C. Resnick, Ali Nabavizadeh   +31 more
doaj   +1 more source

Transverse dose profile simulation of extruded lines for a 3D printed models for superficial skin cancer therapy

Current Directions in Biomedical Engineering, 2020
The short-range and sharp dose fall-off of beta particles in tissue make them an interesting option for use in the radiation therapy of superficial skin tumors.
Pashazadeh Ali, Friebe Michael
doaj   +1 more source

Conducting health services research during the COVID-19 pandemic: experiences from the veterans health administration

BMC Health Services Research, 2023
Background Health services researchers within the Veterans Health Administration (VA) seek to improve the delivery of care to the Veteran population, whose medical needs often differ from the general population.
Brigid Connelly, Edward Hess, Marguerite Daus, Catherine Battaglia, Heather M. Gilmartin   +4 more
doaj   +1 more source

AI-powered segmentation and prognosis with missing MRI in pediatric brain tumors

npj Precision Oncology
Brain MRI is the primary imaging modality for pediatric brain tumors, yet incomplete acquisitions are common, hindering the clinical utility of existing deep learning models for tumor segmentation and prognosis.
Dimosthenis Chrysochoou, Deep B. Gandhi, Sahand Adib, Ariana M. Familiar, Bhavyasri Vunnava, Sanaz Varshochi, Neda Khalili, Nastaran Khalili, Jeffrey B. Ware, Wenxin Tu, Paarth Jain, Hannah Anderson, Shuvanjan Haldar, Phillip B. Storm, Andrea Franson, Michael Prados, Cassie Kline, Sabine Mueller, Adam Resnick, Arastoo Vossough, Christos Davatzikos, Ali Nabavizadeh, Anahita Fathi Kazerooni   +22 more
doaj   +1 more source

Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision

IEEE Access
As the global production of waste continues to rise, there is a growing demand for more effective waste management strategies to handle this expanding problem.
Dishant Mewada, Cathaoir Agnew, Eoin M. Grua, Ciaran Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn van de Ven, Anthony Scanlan   +8 more
doaj   +1 more source

Optimising RNA extraction for paddy bulk soil samples for metatranscriptome sequencing

BMC Research Notes
Objective Extraction of high-quality RNA is crucial for understanding the molecular dynamics of microbiomes in the growth and development of paddy plants.
Sumitra Sivaprakasam, Tan Yee Fan, Yukgehnaish Kumarasan, Erneeza Mohd Hata, Ganesan Vadamalai, Bent Petersen, Thomas Sicheritz-Pontén, Sivachandran Parimannan, Heera Rajandas   +8 more
doaj   +1 more source