Automated, LLM enabled extraction of synthesis details for reticular materials from scientific literature [PDF]
Automated knowledge extraction from scientific literature can potentially accelerate materials discovery. We have investigated an approach for extracting synthesis protocols for reticular materials from scientific literature using large language models (LLMs). To that end, we introduce a Knowledge Extraction Pipeline (KEP) that automatizes LLM-assisted
arxiv
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. [PDF]
Chen Q+17 more
europepmc +1 more source
Reticular Pseudodrusen Characteristics and Associations in the Carotenoids in Age-Related Eye Disease Study 2 (CAREDS2), an Ancillary Study of the Women's Health Initiative. [PDF]
Cleland SC+10 more
europepmc +1 more source
Choroidal Thickness in Patients With Reticular Pseudodrusen Using 3D 1060-nm OCT Maps [PDF]
Paulina Haas+4 more
openalex +1 more source
Age-Related Macular Degeneration (AMD) is a highly prevalent form of retinal disease amongst Western communities over 50 years of age. A hallmark of AMD pathogenesis is the accumulation of drusen underneath the retinal pigment epithelium (RPE), a ...
Jenna Hall+14 more
doaj
Automatic Identification of Reticular Pseudodrusen Using Multimodal Retinal Image Analysis [PDF]
Mark J. J. P. van Grinsven+7 more
openalex +1 more source
Association of risk genotypes of
Mohammad Hossein Jabbarpoor Bonyadi+4 more
openalex +1 more source