Results 221 to 230 of about 54,428 (286)

Metformin‐Based Covalent Organic Frameworks With Excellent Biosafety and High Efficiency against Pathogenic Microorganisms

Advanced Science, EarlyView.
This work presents the first metformin‐based COFs featuring built‐in biosafety and a unique triple‐synergy mechanism. This scalable platform achieves broad‐spectrum eradication of bacteria and viruses, enabling reusable protective membranes with exceptional biocompatibility for advanced biomedical applications and personal protection.
Jia‐Yi Liu, Hong Jiang, Lei Ma, Jin‐Yi Yu, Ming‐Yi Yang, Hao‐Ru Wang, Jun‐Yuang Tang, Shengfeng Huang, Wei Yi, Meng Lu, Ya‐Qian Lan, Xu‐Jia Hong   +11 more
wiley   +1 more source

Risk Factors and Outcomes of Reintubation Following Combined Heart-Lung Transplantation. [PDF]

Clin Transplant
Kwon YIC, Keller M, Lai A, Bao B, Pei J, Ambrosio M, Patel J, Al-Yafi M, Fitch Z, Chery J, Nicolato P, Kasirajan V, Hashmi ZA.   +12 more
europepmc   +1 more source

Mitochondrial Transplantation as a Therapeutic Strategy for Inherited Mitochondrial Diseases

Advanced Science, EarlyView.
Mitochondrial transplantation (MTx) offers a promising therapeutic avenue for mitochondrial diseases. This review comprehensively evaluates MTx, differentiating its feasibility for mtDNA‐ and nDNA‐based disorders. It examines its potential for genetic correction, alongside inherent limitations, technical challenges, and crucial ethical considerations ...
Parmeshar Singh, Amir Tahavvori, Cyrus E. Kuschner, Blanca B. Espin, Jacob Kazmi, Sofhia V. Ramos, Tai Yin, Kei Hayashida, Kanako Ito‐Hagiwara, Yusuke Endo, Keitaro Yoshioka, Jun Hagiwara, Avijot Sohi, Alisha Oropallo, Ghania Haddad, Timmy Li, Lance B. Becker, Junhwan Kim   +17 more
wiley   +1 more source

2024 transplant AI symposium: key AI models shaping the future of transplant care. [PDF]

Front Transplant
Koivu A, Azarfar G, Maleki S, Sidhu A, Bhat M.   +4 more
europepmc   +1 more source

AI‐Assisted Bioelectronics for Personalized Health Management

Advanced Electronic Materials, EarlyView.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong, Changhao Dai, Xuting Chen, Jilie Kong, Dacheng Wei, Xueen Fang, Wenhao Weng   +6 more
wiley   +1 more source

Comparative study of coronary artery disease prediction: conventional QRISK3 versus enhanced machine learning models combined with particle swarm optimisation algorithm. [PDF]

Open Heart
Harmadha WSP, Wang D, Masood M.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Many Moving Parts: New Transplant Allocation Models Are Associated With Increased Organ Travel and Potential Climate Implications. [PDF]

Clin Transplant
Gianaris K, Ayuk-Arrey AP, Fridell JA, Ross-Driscoll K.   +3 more
europepmc   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source