Results 211 to 220 of about 1,169 (288)

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, Volume 13, Issue 34, 19 June 2026.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Artificial Intelligence and Innovation in Oral Health Care Sciences: A Conceptual Review. [PDF]

Healthcare (Basel)
Dettori M, Lamloum D, Lingström P, Campus G.   +3 more
europepmc   +1 more source

Viral Pathogens Threatening Cage‐Cultured Nile Tilapia in Lake Victoria: Epidemiology, Emerging Risks and Integrated Health Management Strategies

Aquaculture, Fish and Fisheries, Volume 6, Issue 3, June 2026.
ABSTRACT The rapid expansion of cage culture for Nile tilapia (Oreochromis niloticus) in Lake Victoria is central to food security and profitable development in East Africa. Nevertheless, viral conditions affect the sustainability of this sector, with significant imbalances in livelihood, trade and aquaculture adaptability.
Richard S. Komba, Chacha J. Mwita
wiley   +1 more source

Digital epidemiology: Utilizing big data for public health surveillance and disease outbreak prediction. [PDF]

J Public Health Res
Hassan Nishan MN.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, Volume 2, Issue 3, June 2026.
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

Emerging trends and bibliometric analysis of internet of medical things for innovative healthcare (2016-2023). [PDF]

Digit Health
Xin H, Ajibade SM, Alhassan GN, Yilmaz Y.   +3 more
europepmc   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

A Comprehensive and Unified Survey on Blockchain-Enabled SDN Cybersecurity: Industry Use Cases, Threat Landscapes, Defense Architectures, and Open Challenges. [PDF]

Sensors (Basel)
Dudukcu D, Gorgulu AB, Karakus M, Savran Kiziltepe R, Basbrain A.   +4 more
europepmc   +1 more source

Beyond Robodebt: Media Representations of Welfare and Fraud Before and After the Robodebt Royal Commission

Australian Journal of Social Issues, Volume 61, Issue 2, Page 286-295, June 2026.
ABSTRACT Australia's Robodebt scheme, an automated debt recovery program introduced in 2016, was exposed by the Robodebt Royal Commission (RC) as a serious failure of public administration and source of significant harm for thousands of Australians. Through a critical discourse analysis (CDA) of Australian news media, this study explores whether the RC'
Rebecca Coleman‐Hicks, Georgia van Toorn   +1 more
wiley   +1 more source

Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance. [PDF]

Biomed Eng Online
Khangarot R, Kumari V, Mishra R, Singh A.   +3 more
europepmc   +1 more source