Given close relationships between ocular structure and ophthalmic disease, ocular biometry measurements (including axial length, lens thickness, anterior chamber depth, and keratometry values) may be leveraged as features in the prediction of eye diseases. However, ocular biometry measurements are often stored as PDFs rather than as structured data in electronic health records. Thus, time-consuming and laborious manual data entry is required for using biometry data as a disease predictor.
View Article and Find Full Text PDFThe ionic transition metal complexes (iTMCs) [{Pt(CC*)(μ-Rpz)}Ag(PPh)]X (HCC* = 1-(4-(ethoxycarbonyl)phenyl)-3-methyl-1-imidazole-2-ylidene, X = ClO/PF Rpz = pz , 4-Mepz , and 3,5-dppz ) were prepared from the neutral [{Pt(CC*)(μ-Rpz)}] (Rpz = pz , 4-Mepz , and 3,5-dppz ) and fully characterized. The "Ag(PPh)" fragment is in between the two square-planar platinum units in an "open book" disposition and bonded through two Pt-Ag donor-acceptor bonds, as shown by X-ray diffraction (d ∼ 2.78 Å, -).
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