Results 61 to 70 of about 775,266 (372)

Clinical Challenges in Soft Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review explores the exciting field of soft robots for medical applications. It delves into the critical challenges facing their development, including material selection, cytotoxicity, and locomotion limitations. The review then examines promising avenues for overcoming these hurdles and achieving clinical translation.
Kailas Mahipal Malappuram   +3 more
wiley   +1 more source

Comparative Assessment of Websites of Public and Private Hospitals in Isfahan, Iran

open access: yesمدیریت اطلاعات سلامت, 2017
Introduction: Hospital websites have a high potential for providing information and services to customers. The assessment and comparison of hospital websites determine the extent of their utilization and contributes to the formation of constructive ...
Maryam Jahanbakhsh   +4 more
doaj  

Comprehensive Characterization of Bihormonal Cells and Endocrine Cell Lineages in Mammalian Pancreatic Islets

open access: yesAdvanced Science, EarlyView.
This study integrates dual‐reporter genetics, imaging flow cytometry, and single‐cell sequencing to characterize rare bihormonal cells in mouse and human pancreatic islets. Gcg⁺Ins⁺ cells resemble α‐cells rather than transitional states. Cross‐species gene network analysis refines islet cell taxonomy and reveals human‐specific δ‐cell subtypes ...
Xin‐Xin Yu   +10 more
wiley   +1 more source

Patient and Clinician Reported Outcomes of the Inframammary Incision “Short Scar Technique” in Primary Breast Augmentation

open access: yesAesthetic Surgery Journal Open Forum, 2023
BackgroundBreast augmentation is a common aesthetic surgery procedure and surgeons are constantly trying to develop techniques that help improve patients' outcome. One of the most important aspects is achieving a favorable scar.
Paolo Montemurro   +3 more
doaj   +1 more source

Comparative Analysis of Clinical Outcomes and Financial Aspects of Phototherapies and Immunotherapy for Cancer

open access: yesAdvanced Science, EarlyView.
This review compares clinical outcomes, translational progress, and global funding trends across cancer phototherapies—photodynamic, photothermal, and photoimmunotherapy—and conventional immunotherapy. It highlights differences in treatment efficacy, clinical trial status, financial investment, and regulatory challenges, providing a comprehensive ...
Deepak S. Chauhan   +6 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

The funding of private hospitals in Australia [PDF]

open access: yesAustralian Health Review, 2002
Private hospitals are an essential component of Australia's complex mix of public and private health funding and provision. Private hospitals account for 34.3 per cent of all hospital separations, and over half (56.2%) of all same-dayseparations. The revenue (funding) of the sector approached $4 billion by 1998/99, and as a result of its recent rapid ...
openaire   +3 more sources

Analisis Faktor Determinan yang Mempengaruhi Kinerja Organisasi Rumah Sakit (RS) Swasta [PDF]

open access: yes, 2015
This study aims to reveal and clarify the influence of organizational culture, organizational commitment and public accountability to the organizational performance of Private Hospital in West Jakarta.
Thomas, G. N. (Gen)
core   +2 more sources

Dopamine: Differentially Private Federated Learning on Medical Data [PDF]

open access: yesarXiv, 2021
While rich medical datasets are hosted in hospitals distributed across the world, concerns on patients' privacy is a barrier against using such data to train deep neural networks (DNNs) for medical diagnostics. We propose Dopamine, a system to train DNNs on distributed datasets, which employs federated learning (FL) with differentially-private ...
arxiv  

Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency

open access: yesAdvanced Intelligent Systems, EarlyView.
The radiomics feature could save the storage space of all medical samples; on the other hand, it avoids data leakage. Graph convolutional neural networks could summarize the similarity of benign and malignant pulmonary nodules to improve the performance in distinguishing them with radiomics and common clinical features.
Renjie Xu   +7 more
wiley   +1 more source

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