AIMC Topic:
Learning

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Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes.

Briefings in bioinformatics
Artificial intelligence (AI) approaches in cancer analysis typically utilize a 'one-size-fits-all' methodology characterizing average patient responses. This manner neglects the diverse conditions in the pancancer and cancer subtypes of individual pa...

HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.

Briefings in bioinformatics
Accurate prediction of molecular properties is an important topic in drug discovery. Recent works have developed various representation schemes for molecular structures to capture different chemical information in molecules. The atom and motif can be...

An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Individuals who suffer from severe paralysis often lose the capacity to perform fundamental body movements and everyday activities. Empowering these individuals with the ability to operate robotic arms, in high degrees-of-freedom (DoFs), can help to ...

No worries with ChatGPT: building bridges between artificial intelligence and education with critical thinking soft skills.

Journal of public health (Oxford, England)
This correspondence discusses the role of artificial intelligence (AI) like ChatGPT in education and research, focusing on developing critical thinking skills and maintaining academic integrity. AI can complement learning and research processes when ...

Exploring AI Literacy Among Older Adults.

Studies in health technology and informatics
Artificial Intelligence (AI) technology is increasingly being integrated into our daily lives and many aspects of society. AI is viewed as a new opportunity to promote independent living and well-being for older adults. AI literacy plays an important...

The Puzzle of Evaluating Moral Cognition in Artificial Agents.

Cognitive science
In developing artificial intelligence (AI), researchers often benchmark against human performance as a measure of progress. Is this kind of comparison possible for moral cognition? Given that human moral judgment often hinges on intangible properties...

Neural Networks for Navigation: From Connections to Computations.

Annual review of neuroscience
Many animals can navigate toward a goal they cannot see based on an internal representation of that goal in the brain's spatial maps. These maps are organized around networks with stable fixed-point dynamics (attractors), anchored to landmarks, and r...

Analysis of Motor Control and Learning in Human-Robot Interaction during Game Guided Movements.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Robotic devices can be used in upper limb rehabilitation in order to help the total or partial functional recovery. Robots can perform repetitive activities for a long period of time, which may be beneficial for rehabilitation processes. In this cont...

Towards an Action Recognition Framework for Endovascular Surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Objective knowledge about instrument manoeuvres in endovascular surgery is essential for evaluating surgical skills and developing advanced technologies for cathlab routines. To the recent day, endovascular navigation has been exclusively assessed in...

Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Hospitalized patients sometimes have complex health conditions, such as multiple diseases, underlying diseases, and complications. The heterogeneous patient conditions may have various representations. A generalized model ignores the differences amon...