Results 61 to 70 of about 19,659 (216)

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Comparing the efficacy of different maintenance intervals on preventing disease recurrence in patients with a history of periodontal treatment

Journal of Pharmacy and Bioallied Sciences
Background: Scheduled maintenance appointments after periodontal treatment are very much critical for the success of the treatment. This is necessary for patients seeking to prevent disease recurrence and maintain oral health.
Kiran K Ganji, Mohammad K Alam, Mohammed Ali Alkhwaitm, Kholood A S Al-Hammad, Sherif Sultan   +4 more
doaj   +1 more source

Time spent by patients in a pre-anaesthetic clinic and the factors affecting it: An audit from a tertiary care teaching hospital

Indian Journal of Anaesthesia, 2018
Background and Aims: Patient satisfaction from a pre-anaesthetic clinic (PAC) visit is greatly influenced by time spent there. We aimed to determine time spent in a PAC without an appointment system and the factors affecting the same.
Justin P James, Suma Mary Thampi
doaj   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

The association between primary care appointment lengths and opioid prescribing for common pain conditions

BMC Health Services Research
Background While brief duration primary care appointments may improve access, they also limit the time clinicians spend evaluating painful conditions. This study aimed to evaluate whether 15-minute primary care appointments resulted in higher rates of ...
John C. Matulis, Kristi Swanson, Rozalina McCoy   +2 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Adherence to screening appointments in a cervical cancer clinic serving HIV-positive women in Botswana

BMC Public Health, 2019
Background The link between human immunodeficiency virus (HIV) and cervical cancer is of particular concern in Botswana, where one in four women at risk for cervical cancer is HIV-positive.
Francis Barchi, Samantha C. Winter, Faith Mompati Ketshogile, Doreen Ramogola-Masire   +3 more
doaj   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Pull‐and‐Push Nanotherapeutic Hydrogels: Scavenging Inflammatory Triggers While Driving Tissue Regeneration in Burn Wounds

Advanced Functional Materials, EarlyView.
A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim, Seong‐Jin Shin, Sak Lee, Nandin Mandakhbayar, Ji‐Hye Kang, Da‐Young Kong, Seong‐Doo Hong, Ueon Sang Shin, Hae‐Won Kim, Jung‐Hwan Lee   +9 more
wiley   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source