Results 161 to 170 of about 761,074 (275)

Identifying strategies to leverage electronic health records and health information technology in colorectal cancer screening in primary care clinics. [PDF]

JAMIA Open
Richardson JE, Hoover S, Jones M, Kobrin S, Subramanian S.   +4 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Blood Safety: The Madhya Pradesh Centralized Nucleic Acid Testing (NAT) Model for Blood Donor Screening. [PDF]

Cureus
Yadav A, Khan R, Tripathi A, Bhadauria RS, Tandon P, Choudhary R.   +5 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A server-assisted secure blockchain model for residential demand response in smart grids. [PDF]

Sci Rep
Ghosh A, Goswami AK, Shuaibu HA, Ustun TS.   +3 more
europepmc   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Scaling genomic reanalysis to unlock diagnoses and transform rare disease care. [PDF]

HGG Adv
Rockowitz S, Shao W, French C, Truong TK, Hagen J, McGonigle R, Geltzeiler A, Sheidley B, Smith L, D'Gama AM, Irons M, Chou J, Stoler J, Kritzer A, Rodan L, Shimamura A, Bodamer O, Sacharow S, Soul JS, Srivastava S, Kennedy AR, Abu-El-Haija A, Lai A, Olson H, Juusola J, Ryan E, Friedman B, Singh A, Li C, Mallik R, Strickland G, Prinzing G, Mo A, O'Donnell-Luria A, Bolton J, Boone PM, Brucker W, Duyzend M, Mahida S, Miller DT, Omorodion J, Petit J, Picker J, Poduri A, Carlston C, Wojcik MH, Sliz P, Chung WK.   +47 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced 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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Medical support platform for melanoma analysis and detection based on federated learning. [PDF]

Sci Rep
Laso S, Herrera JL, Flores-Martin D.
europepmc   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source