AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
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
Post-marketing safety monitoring of sodium-glucose cotransporter 2 inhibitors for diabetes in cats: a pharmacovigilance study based on the FDA ADAE database. [PDF]
Lai X, Chen M, Huang Y, Cheng Y.
europepmc +1 more source
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source
Evaluation of current practices and communication surrounding sudden unexpected death in epilepsy (SUDEP): A survey analysis of healthcare practitioners. [PDF]
Nickels KC +3 more
europepmc +1 more source
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
Comparison of Two Partially Covered Metal Stents for Endoscopic Ultrasound-guided Hepaticogastrostomy: A Multi-Center Retrospective Study. [PDF]
Yamamura M +17 more
europepmc +1 more source
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
The Efficacy and Safety of Monoclonal Antibodies That Target Alpha-Synuclein in Parkinson's Disease: A Systematic Review. [PDF]
Coles D +7 more
europepmc +1 more source

