Results 241 to 250 of about 623,333 (376)
Australia's Wellbeing Framework: Is It Really ‘Measuring What Matters’?
ABSTRACT Australia's newly established wellbeing framework, ‘Measuring What Matters’ (MWM), seeks to measure social progress and influence policy by reporting on 50 wellbeing indicators within five ‘themes’. In this article, we assess whether the MWM framework adequately measures what people in Australia value for their wellbeing by examining both the ...
Kate Sollis+2 more
wiley +1 more source
Mitigating Molecular Aggregation in Drug Discovery With Predictive Insights From Explainable AI
In this work, MEGAN, our explainable AI model, is applied to predict small colloidally aggregating molecules (SCAMs), a significant source of false positives in drug discovery. MEGAN provides interpretable predictions and proposes structurally similar, non‐aggregating alternative molecules.
Hunter Sturm+4 more
wiley +2 more sources
Development and evaluation of the Digit Triplet Test in Swahili language. [PDF]
Rosendahl BG, Tronstad TV, Øygarden J.
europepmc +1 more source
Voiceless: Division, Distrust and Discrimination at the 2023 Voice Referendum
ABSTRACT The referendum on the Aboriginal and Torres Strait Islander Voice to Parliament in Australia resulted in defeat for the Yes case on October 14, 2023, by a margin of 40% to 60%. The referendum proposed a constitutional amendment to establish a representative body made up of Indigenous Australians to advise federal parliament on matters ...
Shaun Wilson, Shaun Ratcliff
wiley +1 more source
Assessment and Management of Chemotherapy-Induced Ototoxicity in Children. [PDF]
Oh H, Park MK.
europepmc +1 more source
Predicting speech-in-noise ability with static and dynamic auditory figure-ground analysis using structural equation modelling. [PDF]
Guo X+7 more
europepmc +1 more source
Artificial intelligence (AI) applications are finding use in real‐world neurological settings. Whereas part 1 of this 3‐part review series focused on the birth of AI and its foundational principles, this part 2 review shifts gears to explore more practical aspects of neurological care.
Matthew Rizzo
wiley +1 more source
Audiological findings in Brown Vialetto-Van-Laere Syndrome: A scoping review. [PDF]
Rolim DO+5 more
europepmc +1 more source
Item-analysis of Japanese monosyllable list for speech discrimination test.
Yoshio Takéuchi+4 more
openalex +2 more sources
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley +1 more source