Results 111 to 120 of about 626,615 (258)

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‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

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

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Lessons learned from people-centred TB care and support interventions in the Russian Federation. [PDF]

IJTLD Open
Stavitskaya N, Felker I, Nemkova E, Vujnovic M, Berdyklychev B, Yegeubayeva S.   +5 more
europepmc   +1 more source

A Federation of Federations: Secure Cloud Federations meet European Identity Federations

International Journal for Information Security Research, 2018
Thomas Zefferer, Dominik Ziegler, Andreas Reiter   +2 more
openaire   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Divergent Trajectories of Youth Mental Health in Emerging Economies: A Global Burden of Disease Analysis of Anxiety and Autism Spectrum Disorders in BRICS Nations (1990-2030). [PDF]

Psychol Res Behav Manag
Wen J.
europepmc   +1 more source

Help‐Seeking and Substance Use Among Police Staff After the 2018 Strasbourg Christmas Market Attack

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background The use of mental health services by police staff is usually low. After the 2018 attack on the Strasbourg Christmas market, police officers exposed to psychotraumatic risks were found to have a higher PTSD risk. This study aims to describe the help‐seeking and substance use by police staff after the attack.
Nathalie Nourry, Ludivine Nohales, Laurence Lalanne, Emmanuel Fort, Maria Gonzalez, Pierre Vidailhet, Amaury C. Mengin, Barbara Charbotel   +7 more
wiley   +1 more source

Assessing the Feasibility of Wearable Devices for Physiological Monitoring and Heat Risk Prediction in Outdoor Agricultural Workers

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan, Elizabeth Mizelle, Qiang Wu, Rui Wu, Guy Iverson, Ciprian Popoviciu, Dylan Hemedinger, Eliezer Loyola, Takari Hood, Monica Ramirez, Jo Anne Balanay   +10 more
wiley   +1 more source