ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction. [PDF]
Mishra S, Alfahidah RA, Alharbi F.
europepmc +1 more source
Data‐Driven Marketing Processes: A Roadmap for Big Data Analytics Adoption in a Brazilian SaaS SME
ABSTRACT Small and medium‐sized enterprises (SMEs) often face unique challenges in integrating advanced digital technologies due to limited resources and organizational constraints. While much attention has been given to large firms' adoption of big data analytics (BDA) and artificial intelligence (AI), less is known about how SMEs can leverage these ...
Fabricio Venancio +2 more
wiley +1 more source
Combining motor competence and motor learning strategies helps to reduce the risk of biomechanical factors associated with ACL injury. [PDF]
Orangi BM +3 more
europepmc +1 more source
Abstract Artificial intelligence (AI) continues to rapidly transform the practice of medicine, with clinicians increasingly adopting data‐driven decision‐making aids and diagnostic support tools. Orthopaedic physicians are well poised to harness the capabilities of AI, with an abundance of quantifiable imaging, biomechanical data, and structured ...
Alexander Bouterse +8 more
wiley +1 more source
Detecting Pediatric Emergency Service Use for Suicide and Self-Harm: Multimodal Analysis of 3828 Encounters. [PDF]
Edgcomb JB +7 more
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
The Role of Artificial Intelligence in Clinical Psychology: How AI and NLP Systems Are Reshaping Psychological Interventions. A Systematic Review. [PDF]
Orrù L, Mannarini S.
europepmc +1 more source
ABSTRACT Background Several studies show that large language models (LLMs) struggle with phenotype‐driven gene prioritization for rare diseases. These studies typically use Human Phenotype Ontology (HPO) terms to prompt foundation models such as GPT and LLaMA to predict candidate genes.
Zhanliang Wang +3 more
wiley +1 more source
BanglaVerb: A sentence-level dataset for transitivity classification in Bangla NLP. [PDF]
Koli ZM, Alam MJ, Sultana Z, Khan AA.
europepmc +1 more source

