Results 191 to 200 of about 24,256,356 (300)
MSD: Multi-stage deception for data privacy protection. [PDF]
Abdel Latif Ali T, Elsherbini MM.
europepmc +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Living donor heart valves offer superior durability for pediatric patients but trigger immune rejection. Lentiviral delivery of viral immune‐evasion genes US2 and Serpin b9 into donor valve cells and valve tissue suppresses HLA expression, reduces PBMC clustering and cytotoxic killing, and induces transcriptional immune‐tolerance programs, paving the ...
Abraham van Wijk +11 more
wiley +1 more source
A real-world data challenge: guidance for aligning data privacy compliance and fit-for-purpose usability. [PDF]
Jaffe DH +2 more
europepmc +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
Enhancing healthcare data privacy and interoperability with federated learning. [PDF]
Akhmetov A, Latif Z, Tyler B, Yazici A.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
A blockchain-based verifiable CP-ABE scheme for medical data privacy protection. [PDF]
Zhao L, Dong G, Yuan H.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source

