Results 71 to 80 of about 678,602 (266)

Usage patterns, perceived barriers and perceived impact of mobile medical applications in medical education and clinical practice: a cross-sectional study among medical students and junior doctors in Sudan

BMC Medical Education
Background Mobile medical apps have greatly enhanced access to healthcare information and clinical decision-making globally. However, their use in Sudan faces numerous barriers, despite the growing adoption worldwide.
Alemam Awad Alameen Ahmed, Weam Babeker Ahmed Ali, Aliya Elsir Alhaj Mohammedalhassan, Mohamedelborae Abdalgafar Elimam Mohamed, Mohemedelmustafa Yahya Mohamed Eldouma, Amjed Siddig Khalid Mohammed, Abeer Mohammed Sayed Mohammed, Ragaa Mohammed Elshafie, Fal Muawia AbdAlla Hussein, Alaa Azhari Madani Tawfeeg, Ldan Abdelgader Wageialla Ahmed, Raheeg Sayed Mohamed Ali Elkhidir, Saneia Abdalsalm Abakar Abdallah, Mohammed Mahmmoud Fadelallah Eljack   +13 more
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Research Progress on the Application of Large Language Model-based Intelligent Medical Assistants

Xiehe Yixue Zazhi
Large language models (LLMs), represented by ChatGPT, have garnered significant attention due to their powerful capabilities in understanding and generating human language.
ZHANG Yuchen, WANG Chuantao, XIA Hailiang, ZHAI Jiliang   +3 more
doaj   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Rapid Review of Generative AI in Smart Medical Applications

International Journal of Computer Science and Information Technology
With the continuous advancement of technology, artificial intelligence has significantly impacted various fields, particularly healthcare. Generative models, a key AI technology, have revolutionized medical image generation, data analysis, and diagnosis. This article explores their application in intelligent medical devices.
Yuan Sun, Jorge Ortiz 0001
openaire   +2 more sources

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

LINS: A general medical Q&A framework for enhancing the quality and credibility of LLM-generated responses

Nature Communications
Large language models can lighten the workload of clinicians and patients, yet their responses often include fabricated evidence, outdated knowledge, and insufficient medical specificity.
Sheng Wang, Fangyuan Zhao, Dechao Bu, Yunwei Lu, Ming Gong, Hongjie Liu, Zhaohui Yang, Xiaoxi Zeng, Zhiyuan Yuan, Baoping Wan, Jingbo Sun, Yang Wu, Lianhe Zhao, Xirun Wan, Wei Huang, Tao Wang, Mengtong Xu, Jianjun Luo, Jingjia Liu, Jianjun Zheng, Wei Zhang, Kang Zhang, Hongjia Zhang, Shu Wang, RunSheng Chen, Yi Zhao   +25 more
doaj   +1 more source

Ganetic loss for generative adversarial networks with a focus on medical applications

Neural Computing and Applications
Abstract Generative adversarial networks (GANs) are machine learning models that are used to estimate the underlying statistical structure of a given dataset and, as a result, can be used for a variety of tasks, such as image generation or anomaly detection.
Shakhnaz Akhmedova, Nils Körber
openaire   +4 more sources

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Faculty perspectives on artificial intelligence’s adoption in the health sciences education: a multicentre survey

Frontiers in Medicine
IntroductionThe integration of artificial intelligence technology into healthcare education has been hampered by a number of difficulties. This study aimed to investigate the faculty’s familiarity and perception towards AI applications in medical ...
Eidan M. Al Zahrani, Salah H. Elsafi, Lenah D. Al Musallam, Abdulwahab H. Alharbi, Hala M. Aldossari, Ahmed M. Alomar, Zeyad S. Alkharraz   +6 more
doaj   +1 more source