Results 81 to 90 of about 9,037,998 (317)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Temporal expression normalisation in natural language texts [PDF]

, 2012
Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. In this report, I describe a novel rule-based architecture, built on top of a pre-existing system, which is able to normalise ...
Filannino, Michele
core   +1 more source

Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data [PDF]

Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology, 2016
Dementia is an increasing problem for an aging population, with a lack of available treatment options, as well as expensive patient care. Early detection is critical to eventually postpone symptoms and to prepare health care providers and families for managing a patient’s needs.
Joseph Bullard, Cecilia Ovesdotter Alm, Xumin Liu, Qi Yu, Rubén Proaño   +4 more
openaire   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

AI‐Driven Predictive Design and Functionalization of Three Dimensional‐Printed PEEK Implants with Tryptophan‐Enriched Alginate Hydrogel for Enhanced Biomimetic Surface Performance

Advanced Intelligent Systems, EarlyView.
This study introduces an AI‐guided strategy to design 3D‐printed PEEK implants functionalized with a tryptophan‐enriched alginate hydrogel (TRYALPEEK). The modification improves hydrophilicity, reduces surface roughness, enhances cytocompatibility, and optimizes stress distribution. The platform offers a promising route for personalized implant design,
Wafa Benaatou, Desirae Nance, Denisse A Gutierrez, Renato J Aguilera, Armando Varela‐Ramirez, Filiz Yagci, Emir Esim, Mahesh Narayan, Mohamed Noufal   +8 more
wiley   +1 more source

Editorial: Digital Linguistic Biomarkers: Beyond Paper and Pencil Tests

Frontiers in Psychology, 2021
Gloria Gagliardi, Dimitrios Kokkinakis, Dimitrios Kokkinakis, Jon Andoni Duñabeitia, Jon Andoni Duñabeitia   +4 more
doaj   +1 more source

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

Advanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal, Amalesh Gope, Miho Yanagisawa   +2 more
wiley   +1 more source

Linguistic aspects of eponymic professional endocrinologic terminology

Mìžnarodnij Endokrinologìčnij Žurnal, 2017
Background. Special linguistic researches of terminological units of different branches of medicine allow analyzing in details the ways of creating the systems of clinical terminology from different aspects: historical, scientific, cultural, linguistic ...
N.I. Bytsko, L.B. Pavlovich, I.I. Bilous, I.V. Semenko   +3 more
doaj   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Delivering a family‐based child mental health promotion program among two resettled refugee communities during the COVID‐19 pandemic: Lessons learned in a hybrid type II implementation‐effectiveness randomized controlled trial

American Journal of Community Psychology, EarlyView.
Abstract Background Resettled refugee families face elevated mental health risks, compounded by structural and cultural barriers. The Family Strengthening Intervention for Resettlement (FSIR), co‐developed with resettled refugee communities, aims to improve family functioning and child mental health.
Euijin Jung, Candace Black, Matias Placencio‐Castro, Lila Chamlagai, Rilwan Osman, Morgan Hoffman, William Beardslee, Theresa S. Betancourt   +7 more
wiley   +1 more source