Results 241 to 250 of about 10,463 (305)

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Prominence-guided link prediction in fuzzy robotic networks. [PDF]

Sci Rep
Jeyakumar DJ, Rajkumar V, Peter TPD, Gomathi N.   +3 more
europepmc   +1 more source

High‐Resolution Diffusion‐Weighted Imaging With Self‐Gated Self‐Supervised Unrolled Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose High‐resolution diffusion‐weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self‐supervised algorithm unrolling technique for submillimeter‐resolution DWI. Methods We developed submillimeter DWI acquisition utilizing multi‐band multi‐shot EPI with diffusion shift encoding.
Zhengguo Tan, Patrick A. Liebig, Annika Hofmann, Frederik B. Laun, Florian Knoll   +4 more
wiley   +1 more source

Hybrid decision support system disaster management: application of lattice ordered q-rung linear Diophantine fuzzy hypersoft sets. [PDF]

PeerJ Comput Sci
Vimala J, Surya AN, Kausar N, Pamucar D, Kadry S, Kim J.   +5 more
europepmc   +1 more source

T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐Weighted Imaging of Water, Fat and Silicone

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and ...
Aizada Nurdinova, Xuetong Zhou, Julio A. Oscanoa, Preya Shah, Kawin Setsompop, Bruce L. Daniel, Brian A. Hargreaves   +6 more
wiley   +1 more source

Artificial intelligence-generated sustainable gift box design evaluation via reinforcement learning-driven hybrid molecular fuzzy modelling. [PDF]

Sci Rep
Dinçer H, Yüksel S, Yaran Ögel İ, Ecer F.   +3 more
europepmc   +1 more source

Distilling food web dynamics: top–down and bottom–up drivers of extinction and trophic cascades

Oikos, EarlyView.
Quantifying population dynamics is a fundamental challenge in ecology and evolutionary biology, particularly for species that are cryptic, microscopic, or extinct. Traditional approaches rely on continuous representations of population size, but in many cases, the precise number of individuals is unknowable.
Justin D. Yeakel
wiley   +1 more source

Decision theoretic fuzzy modelling for product quality and design evaluation of basketballs using deck of cards strategy. [PDF]

Sci Rep
Zhu A.
europepmc   +1 more source

Bilateral Transcranial Doppler Monitoring During Neonatal Cardiac Surgery; Guidance for Clinical and Scientific Use

Pediatric Anesthesia, EarlyView.
ABSTRACT Introduction Neonates undergoing cardiac surgery face a high risk of neurological injury and neurodevelopmental complications. Transcranial Doppler monitoring is used and validated in adults to measure cerebral blood flow and can provide valuable insights into cerebral perfusion in neonates.
B. V. Martherus, T. Alderliesten, E. M. R. Fonteyn, I. Ceelie, D. J. van Vriesland, J. Nijman, H. Talacua, R. A. J. Nievelstein, J. Dudink, M. J. N. L. Benders, W. F. F. A. Buhre, K. van Loon   +11 more
wiley   +1 more source

Centralized two tier clustering method for wireless sensor networks based on a coupled cascaded fuzzy system. [PDF]

Sci Rep
Yuste-Delgado AJ, Triviño A, Diaz-Jimenez D, Cuevas-Martinez JC.   +3 more
europepmc   +1 more source