Results 111 to 120 of about 87,069 (296)

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Longitudinal functional connectivity during rest and task is differentially related to Alzheimer’s pathology and episodic memory in older adults

Scientific Reports
Changes in functional connectivity (FC) strength involving the medial temporal lobe (MTL) and posteromedial cortex (PMC) are related to early Alzheimer’s pathology and alterations in episodic memory performance in cognitively unimpaired older adults, but
Larissa Fischer, Jenna N. Adams, Eóin N. Molloy, Jennifer Tremblay-Mercier, Jordana Remz, Alexa Pichet Binette, M. Natasha Rajah, Sylvia Villeneuve, Anne Maass, PREVENT-AD Research Group   +9 more
doaj   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

Episodic future thinking and episodic counterfactual thinking: Intersections between memory and decisions [PDF]

, 2014
This article considers two recent lines of research concerned with the construction of imagined or simulated events that can provide insight into the relationship between memory and decision making. One line of research concerns episodic future thinking,
Schacter, Daniel, Szpunar, Karl, Benoit, Roland, De Brigard, Felipe   +3 more
core   +1 more source

Episodic memory training with emphasis on categorization for older adults without dementia and depression / Treino de memória episódica com ênfase em categorização para idosos sem demência e depressão

Psicologia: Reflexão e Crítica, 2010
Aging may lead to cognitive changes, especially in memory. Yet, research suggests that older adults may improve memory performance after training. The present study aimed at evaluating the effects of episodic memory training offered to healthy Brazilian ...
Fabiana Castillo Roda Carvalho, Anita Liberalesso Neri, Mônica Sanches Yassuda   +2 more
doaj  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

A SEMantic and EPisodic Memory Test (SEMEP) Developed within the Embodied Cognition Framework: Application to Normal Aging, Alzheimer's Disease and Semantic Dementia

Frontiers in Psychology, 2017
Embodiment has highlighted the importance of sensory-motor components in cognition. Perception and memory are thus very tightly bound together, and episodic and semantic memories should rely on the same grounded memory traces.
Guillaume T. Vallet, Guillaume T. Vallet, Guillaume T. Vallet, Carol Hudon, Carol Hudon, Nathalie Bier, Nathalie Bier, Joël Macoir, Joël Macoir, Rémy Versace, Martine Simard, Martine Simard   +11 more
doaj   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

Augmenting human memory using personal lifelogs [PDF]

, 2010
Memory is a key human facility to support life activities, including social interactions, life management and problem solving. Unfortunately, our memory is not perfect.
Chen, Yi, Yi Chen, Gareth J. F. Jones, Jones, Gareth J.F.   +3 more
core   +1 more source