In recent years several studies have shown that investigative journalism can lead to significant revelations in the medical sector. This specific field in journalism has become more intriguing but also more complex due to the upsurge of large-scale data and the possibilities of artificial intelligence. Collaboration appears to be the solution. However, there are still plenty of obstacles to overcome.
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Background: Data-driven models are at the mercy of the data upon which they are built. Poorly configured models can lead to misleading conclusions. Here we introduce a framework called Goldilocks for carefully configuring data-driven modelling analyses to remain in the Goldilocks Zone - features that are not too weak (in terms of disease signal), and model (hyper)parameters that are not too strong (with respect to available training data).
View Article and Find Full Text PDFBackground: Obesity, diabetes, hypertension, hyperlipidemia, and depression are relevant Alzheimer's Disease (AD) modifiable risk factors (RFs). However, little is known about how the duration of these conditions, influenced by unmodifiable AD risk factors, such as chromosomal sex and APOE genotype, affects the associated risk. Modeling interactions between patient's temporal and clinical patterns, integrated with the probability of developing AD remains challenging, particularly when considering the multifactorial progression of AD.
View Article and Find Full Text PDFAlzheimer's Imaging Consortium.
Alzheimers Dement
December 2024
University College London, London, United Kingdom.
Background: Data-driven models are at the mercy of the data upon which they are built. Poorly configured models can lead to misleading conclusions. Here we introduce a framework called Goldilocks for carefully configuring data-driven modelling analyses to remain in the Goldilocks Zone - features that are not too weak (in terms of disease signal), and model (hyper)parameters that are not too strong (with respect to available training data).
View Article and Find Full Text PDFTipping the balance between and ligand conformers in multinuclear ethylzinc cyclophosphazenates.
Dalton Trans
January 2025
Department of Chemistry, University of Liverpool, Liverpool L69 7ZD, UK.
Hexaanionic cyclophosphazenate ligands [(RN)PN] provide versatile platforms for the assembly of multinuclear metal arrays due to their multiple coordination sites and highly flexible ligand core structure. This work investigates the impact of incrementally increasing the steric demand of the ligand periphery on the coordination behavior of ethylzinc arrays. It shows that the increased congestion around the ligand sites is alleviated by progressive condensation with the elimination of diethylzinc.
View Article and Find Full Text PDFClustered warming tolerances and the nonlinear risks of biodiversity loss on a warming planet.
Philos Trans R Soc Lond B Biol Sci
January 2025
Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.
Anthropogenic climate change is projected to become a major driver of biodiversity loss, destabilizing the ecosystems on which human society depends. As the planet rapidly warms, the disruption of ecological interactions among populations, species and their environment, will likely drive positive feedback loops, accelerating the pace and magnitude of biodiversity losses. We propose that, even without invoking such amplifying feedback, biodiversity loss should increase nonlinearly with warming because of the non-uniform distribution of biodiversity.
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