Lukas Scheibler
University of Lausanne
9 Papers
121 Citations
Lukas Scheibler is an academic researcher from University of Lausanne. The author has contributed to research in topics: Medicine & Macular degeneration. The author has an hindex of 4, co-authored 6 publications.
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Papers
The effect of pegcetacoplan treatment on photoreceptor maintenance in geographic atrophy monitored by AI-based OCT analysis.
Sophie Riedl,Wolf-Dieter Vogl,Julia Mai,Gregor Sebastian Reiter,Dmitrii Lachinov,Christoph Grechenig,Alex McKeown,Lukas Scheibler,Hrvoje Bogunovic,Ursula Schmidt-Erfurth +9 more
TL;DR: In this paper , the authors investigated the therapeutic effect of intravitreal pegcetacoplan on the inhibition of photoreceptor (PR) loss and thinning in geographic atrophy (GA) on conventional spectral-domain OCT (SD-OCT) imaging by deep learning-based automated quantification.
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Protein design: on the threshold of functional properties
TL;DR: The state-of-the-art in protein design is demonstrated on some selected examples, indicating that the construction of protein-like macromolecules mimicking some essential features of natural proteins seems to be within reach.
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Functional Molecular Thin Films: Topological Templates for the Chemoselective Ligation of Antigenic Peptides to Self‐Assembled Monolayers
Lukas Scheibler,Pascal Dumy,Mila Boncheva,Kirsten Leufgen,Hans-Jörg Mathieu,Manfred Mutter,Horst Vogel +6 more
TL;DR: The presented strategy is of general importance for the formation of complex supramolecular structures with biologically interesting functionalities at the interfaces for peptide recognition sites 1 on a template attached to a gold surface.
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Functionalisation of gold surfaces via topological templates
TL;DR: In this paper, a template with coordinating groups and alkane chains was used to detect external ligand-binding on the surface by SPR spectroscopy, and the results demonstrate that RAFT molecules are versatile molecular devices far functionalizing gold surfaces opening a wide range of applications in biosensor technology.
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Deep-learning automated quantification of longitudinal OCT scans demonstrates reduced RPE loss rate, preservation of intact macular area and predictive value of isolated photoreceptor degeneration in geographic atrophy patients receiving C3 inhibition treatment
Dun Jack Fu,S. Glinton,Livia Faes,Bart Liefers,Gongyu Zhang,Nikolas Pontikos,Alex McKeown,Lukas Scheibler,Praveen J Patel,Pearse A. Keane,Konstantinos Balaskas +10 more
TL;DR: In this article , a validated deep-learning model was used to evaluate the effect of C3 inhibition on the area of geographic atrophy (GA); the constituent features of GA on OCT (photoreceptor degeneration (PRD), retinal pigment epithelium (RPE) loss and hypertransmission); and the areas of unaffected healthy macula. And the OCT evidence suggests that pegcetacoplan slows progression of cRORA overall and RPE loss specifically while protecting the remaining photoreceptors and slowing the progression of healthy retina to iRORA.