Development of a machine learning-based model for prediction of diabetes risk in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). [PDF]
Yang S, Mo R, Wang W, Zhen P, Han W.
europepmc +1 more source
Further Education Funding Council : circular 00/13 : data collection : individualised student record data collection 2000-01 [PDF]
core
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Co-designing approaches to enhance falls management after spinal cord injury in an Australian spinal injuries unit. [PDF]
Marshall K +5 more
europepmc +1 more source
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 +17 more
wiley +1 more source
Beyond Cognitive Load Theory: Why Learning Needs More than Memory Management. [PDF]
Sortwell A +5 more
europepmc +1 more source
Inspired by octopuses, actuating legs based on soft materials are fabricated with programmed chiroptical properties and mechanical behaviors to achieve dynamic color modulation and reversible shape morphing, and these legs are developed into a modular OCTOID system.
Seung Hui Han +8 more
wiley +1 more source
Artificial Intelligence in Medicine: Moving From "Prediction" to "Patient-Centric Decision Intelligence". [PDF]
Subudhi G +3 more
europepmc +1 more source
Electron–Matter Interactions During Electron Beam Nanopatterning
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima +2 more
wiley +1 more source

