Results 101 to 110 of about 534,302 (284)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Automated Influence and the Challenge of Cognitive Security [PDF]

Advances in AI are powering increasingly precise and widespread computational propaganda, posing serious threats to national security. The military and intelligence communities are starting to discuss ways to engage in this space, but the path forward is
Rajtmajer, Sarah, Susser, Daniel
core  

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Self‐Feeding of Engineered Tissues via Controlled Glucose Release Facilitates Survival and Vascularization of Living Implants

Advanced Functional Materials, EarlyView.
ABSTRACT Engineering living matter has great clinical potential to deliver functional replacement organs. However, clinical translation remains hampered by the current inability to maintain viability of clinically relevant‐sized constructs. During the pre‐vascular phase, implants rely on nutrient diffusion for survival, which is insufficient at ...
Melvin Gurian, Iris E. Allijn, Laura Veenendaal, Nicole Bassous, Su Ryon Shin, Jeroen Leijten   +5 more
wiley   +1 more source

Artificial Intelligence in Medicine: Cross-Sectional Study Among Medical Students on Application, Education, and Ethical Aspects

JMIR Medical Education
BackgroundThe use of artificial intelligence (AI) in medicine not only directly impacts the medical profession but is also increasingly associated with various potential ethical aspects. In addition, the expanding use of AI and AI-
Lukas Weidener, Michael Fischer
doaj   +1 more source

Geometrically Tunable Scaffold‐Free Muscle Bioconstructs for Treating Volumetric Muscle Loss

Advanced Healthcare Materials, EarlyView.
Volumetric muscle loss is associated with traumatic muscle resulting in permanent functional impairment. Mold‐based, scaffold‐free, high‐density muscle tissue bioconstructs are developed in customizable geometric shapes and sizes. The transplanted rectangular solid‐shaped muscle bioconstructs improved muscle force recovery and tissue regeneration in ...
Bugra Ayan, Gaoxian Chen, Ishita Jain, Sha Chen, Gladys Chiang, Caroline Hu, Renato Reyes, Beu P. Oropeza, Ngan F. Huang   +8 more
wiley   +1 more source

Siyasat: AI-Powered AI Governance Tool to Generate and Improve AI Policies According to Saudi AI Ethics Principles

Computers
The rapid development of artificial intelligence (AI) and growing reliance on generative AI (GenAI) tools such as ChatGPT and Bing Chat have raised concerns about risks, including privacy violations, bias, and discrimination. AI governance is viewed as a
Dabiah Alboaneen, Shaikha Alhajri, Khloud Alhajri, Muneera Aljalal, Noura Alalyani, Hajer Alsaadan, Zainab Al Thonayan, Raja Alyafer   +7 more
doaj   +1 more source

Ethics in AIED: Who cares? [PDF]

, 2018
The field of AIED raises far-reaching ethical questions with important implications for students and educators. However, most AIED research, development and deployment has taken place in what is essentially a moral vacuum (for example, what happens if a ...
Bektik, Duygu, Holmes, Wayne, Whitelock, Denise, Woolf, Beverly   +3 more
core  

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Redefining Therapies for Drug‐Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design

Advanced Healthcare Materials, EarlyView.
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales, Jessica Ingrid Marquez Cazorla, Renzo Marianito Marquez Cazorla, Aline Martins dos Santos, Jonatas Lobato Duarte, Letícia Oliveira Catarin Nunes, Túlio Custódio Reis, Lara Cerazi Salvador, Norival Alves Santos‐Filho, Rafael Miguel Sábio, Hélder A. Santos, Fernando Rogério Pavan   +11 more
wiley   +1 more source