OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu +17 more
wiley +1 more source
Scalable Graph Self-Supervised Learning
In regularization Self-Supervised Learning (SSL) methods for graphs, computational complexity increases with the number of nodes in graphs and embedding dimensions. To mitigate the scalability of non-contrastive graph SSL, we propose a novel approach to reduce the cost of computing the covariance matrix for the pre-training loss function with volume ...
Pasand, Ali Saheb +4 more
openaire +1 more source
An intelligent early warning and treatment system for monkeypox, utilizing a sprayable AIEgen‐ liquid dressing (AIE@LD) that responds to lesion pH. Integrated with a smartphone app and cloud platform, it enables real‐time infection detection via fluorescence imaging and triggers on‐demand photodynamic therapy under white light, effectively eradicating ...
Wei Wang +14 more
wiley +1 more source
Self-supervised learning with BYOL for anterior cruciate ligament tear detection from knee MRI. [PDF]
Aidarkhan A +7 more
europepmc +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
DINO-EYE: self-supervised learning for identification of different optic disc phenotypes in primary open angle glaucoma. [PDF]
Grassi L, Fei Z, Morales E, Caprioli J.
europepmc +1 more source
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao +10 more
wiley +1 more source
A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation [PDF]
Zelong Liu +6 more
openalex +1 more source
Mechanism‐Driven Screening of Membrane‐Targeting and Pore‐Forming Antimicrobial Peptides
To combat antibiotic resistance, this study employs mechanism‐driven screening with machine learning to identify pore‐forming antimicrobial peptides from amphibian and human metaproteomes. Seven peptides are validated, showing minimal toxicity and membrane disruption.
Jiaxuan Li +9 more
wiley +1 more source
Unbiased self supervised learning of kidney histology reveals phenotypic and prognostic insights. [PDF]
Pandit K +20 more
europepmc +1 more source

