Results 141 to 150 of about 3,572,550 (313)

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

PRECISION ONCOLOGY WITH ELECTRONIC MEDICAL RECORDS

European Medical Journal Innovations, 2018
Electronic medical record (EMR)-based precision oncology is a vision that is so far limited to a few pilot and basket studies, with the goal being the design of a proper treatment for cancer patients in real time, based on the panomics knowledge of the ...
Losiana Nayak, Rajat K. De
doaj  

Machine intelligence-driven framework for optimized hit selection in virtual screening. [PDF]

J Cheminform, 2022
Kumar N, Acharya V.
europepmc   +1 more source

Innovations and emerging trends in applied machine intelligence [PDF]

Bernhard G. Humm, Johannes Busse, Steffen Castle, Rolf Fricke, Markus von der Heyde, Thomas Hoppe, Dave Raggett, Anatol Reibold, Rigo Wenning, Fiona Zender   +9 more
openalex   +1 more source

Accelerated Materials Discovery Through In Situ X‐ray Diffraction: Solvothermal Formation of PdxMy (M═Si, Ge, Sn, Pb) Intermetallic Nanoparticles

Advanced Materials, EarlyView.
In situ PXRD data on solvothermal reactions accelerate materials discovery while simultaneously providing fundamental insights into complex crystal formation processes. Using PdxMy (M = Si, Ge, Sn, Pb) as an example, a general formation mechanism is identified, and specific synthesis strategies for ex situ preparation of SnPd2, Sn13Pd20, and SnPd ...
Anders Bæk Borup, Bo Brummerstedt Iversen   +1 more
wiley   +1 more source

Addressing the Challenges and Barriers to the Integration of Machine Learning into Clinical Practice: An Innovative Method to Hybrid Human-Machine Intelligence. [PDF]

Sensors (Basel), 2022
Ed-Driouch C, Mars F, Gourraud PA, Dumas C.   +3 more
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Drug-food Interactions in the Era of Molecular Big Data, Machine Intelligence, and Personalized Health. [PDF]

Recent Adv Food Nutr Agric, 2022
Roy R, Marakkar S, Vayalil MP, Shahanaz A, Anil AP, Kunnathpeedikayil S, Rawal I, Shetty K, Shameer Z, Sathees S, Prasannakumar AP, Mathew OK, Subramanian L, Shameer K, Yadav KK.   +14 more
europepmc   +1 more source

The Fast and the Numerous - Combining Machine and Community Intelligence [PDF]

, 2008
Blohm S, Krötzsch M, Cimiano P. The Fast and the Numerous - Combining Machine and Community Intelligence. In: Proceedings of the AAAI 2008 Workshop on Wikipedia and Artifical Intelligence.
Krötzsch, Markus, Blohm, Sebastian, Cimiano, Philipp ; https://orcid.org/   +2 more
core  

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source