Results 161 to 170 of about 9,194 (254)

Spatial transcriptomic data denoising and domain identification by a community strength-augmented graph autoencoder. [PDF]

Brief Bioinform
Huang K, Tu W, Zhang L.
europepmc   +1 more source

Evaluating integrative strategies for incorporating phenotypic features in spatial transcriptomics

Journal of Microscopy, EarlyView.
Abstract The key advantage of spatial transcriptomics (ST) technologies lies in the spatial domain: these techniques not only offer an unprecedented opportunity to interrogate intact biological samples in a spatially informed manner, but also set the stage for integration with other imaging‐based modalities.
Levin M Moser, Ahmad Kamal Hamid, Esteban Miglietta, Nodar Gogoberidze, Beth A Cimini   +4 more
wiley   +1 more source

Predicting lncRNA and disease associations with graph autoencoder and noise robust gradient boosting. [PDF]

Sci Rep
Tang L, Huang L, Yuan Y.
europepmc   +1 more source

Fairness‐aware insurance pricing: A multi‐objective optimization approach

Journal of Risk and Insurance, EarlyView.
Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley   +1 more source

SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics. [PDF]

PLoS Comput Biol
Min W, Fang D, Chen J, Zhang S.
europepmc   +1 more source

The Use of Artificial Intelligence in Neonatal Seizure Detection: An Artificial Intelligence‐Assisted Systematic Review

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Background Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures. Methods We searched PubMed and CENTRAL (covering Medline, EMBASE, CINAHL and trial registries) (29 December 2025) for studies that evaluated the use of all AI applications for ...
Nai Ming Lai, Kee Thai Yeo, Juin Yee Kong, Menghao Duan, Shaun Wen Huey Lee, Nathorn Chaiyakunapruk, Karan Varshney, Colleen Ovelman, Kee‐Hsin Chen   +8 more
wiley   +1 more source

Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selection. [PDF]

Med Phys
Moslemi A, Osapoetra LO, Safakish A, Sannachi L, Alberico D, Czarnota GJ.   +5 more
europepmc   +1 more source

Mapping the omics landscape for peri‐implant diseases: A scoping review

Periodontology 2000, EarlyView.
Abstract Objectives To map omics evidence across peri‐implant health, peri‐implant mucositis, and peri‐implantitis, and to identify recurring molecular patterns and candidate biomarker signals relevant to diagnosis, monitoring, and treatment. Materials and Methods This scoping review included human studies using genomics, DNA methylation–based ...
Ethan Ng, Ioannis Fragkioudakis, Jeniffer Perussolo, John Rong Hao Tay, Elena Calciolari, Nikos Donos   +5 more
wiley   +1 more source

Graph-RPI: predicting RNA-protein interactions via graph autoencoder and self-supervised learning strategies. [PDF]

Brief Bioinform
Guan J, Yao L, Xie P, Zhao Z, Meng D, Lee TY, Wang J, Chiang YC.   +7 more
europepmc   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source