AI Medical Compendium Journal:
Journal of the Royal Society, Interface

Showing 21 to 30 of 82 articles

Exploring the criticality hypothesis using programmable swarm robots with Vicsek-like interactions.

Journal of the Royal Society, Interface
A widely mentioned but not experimentally confirmed view (known as the 'criticality hypothesis') argues that biological swarm systems gain optimal responsiveness to perturbations and information processing capabilities by operating near the critical ...

Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative.

Journal of the Royal Society, Interface
Increasing fungicide dose tends to lead to better short-term control of plant diseases. However, high doses select more rapidly for fungicide resistant strains, reducing long-term disease control. When resistance is qualitative and complete-i.e. resi...

Universal early warning signals of phase transitions in climate systems.

Journal of the Royal Society, Interface
The potential for complex systems to exhibit tipping points in which an equilibrium state undergoes a sudden and often irreversible shift is well established, but prediction of these events using standard forecast modelling techniques is quite diffic...

Adapting small jumping robots to compliant environments.

Journal of the Royal Society, Interface
Jumping animals launch themselves from surfaces that vary widely in compliance from grasses and shrubs to tree branches. However, studies of robotic jumpers have been largely limited to those jumping from rigid substrates. In this paper, we leverage ...

Neurodegenerative disease of the brain: a survey of interdisciplinary approaches.

Journal of the Royal Society, Interface
Neurodegenerative diseases of the brain pose a major and increasing global health challenge, with only limited progress made in developing effective therapies over the last decade. Interdisciplinary research is improving understanding of these diseas...

Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation.

Journal of the Royal Society, Interface
Inferring the underlying processes that drive collective behaviour in biological and social systems is a significant statistical and computational challenge. While simulation models have been successful in qualitatively capturing many of the phenomen...

Opportunistic soaring by birds suggests new opportunities for atmospheric energy harvesting by flying robots.

Journal of the Royal Society, Interface
The use of flying robots (drones) is increasing rapidly, but their utility is limited by high power demand, low specific energy storage and poor gust tolerance. By contrast, birds demonstrate long endurance, harvesting atmospheric energy in environme...

Modelling membrane curvature generation using mechanics and machine learning.

Journal of the Royal Society, Interface
The deformation of cellular membranes regulates trafficking processes, such as exocytosis and endocytosis. Classically, the Helfrich continuum model is used to characterize the forces and mechanical parameters that cells tune to accomplish membrane s...

Automated identification of chicken distress vocalizations using deep learning models.

Journal of the Royal Society, Interface
The annual global production of chickens exceeds 25 billion birds, which are often housed in very large groups, numbering thousands. Distress calling triggered by various sources of stress has been suggested as an 'iceberg indicator' of chicken welfa...

Testing the reproducibility and robustness of the cancer biology literature by robot.

Journal of the Royal Society, Interface
Scientific results should not just be 'repeatable' (replicable in the same laboratory under identical conditions), but also 'reproducible' (replicable in other laboratories under similar conditions). Results should also, if possible, be 'robust' (rep...