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Daniel Buser

Researcher at University of Bern

Publications -  333
Citations -  35803

Daniel Buser is an academic researcher from University of Bern. The author has contributed to research in topics: Implant & Bone regeneration. The author has an hindex of 96, co-authored 325 publications receiving 32572 citations. Previous affiliations of Daniel Buser include Academic Center for Dentistry Amsterdam & Harvard University.

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Influence of surface characteristics on bone integration of titanium implants. A histomorphometric study in miniature pigs.

TL;DR: The extent of bone-implant interface is positively correlated with an increasing roughness of the implant surface, and hydroxylapatite (HA)-coated implants with 60-70% showed signs of resorption.
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Long-term evaluation of non-submerged ITI implants. Part 1: 8-year life table analysis of a prospective multi-center study with 2359 implants.

TL;DR: It can be concluded that non-submerged ITI implants maintain success rates well above 90% in different clinical centers for observation periods up to 8 years indicating that the applied life table analysis is a reliable statistical method to evaluate the long-term prognosis of dental implants.
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Enhanced Bone Apposition to a Chemically Modified SLA Titanium Surface

TL;DR: It is concluded that the modSLA surface promoted enhanced bone apposition during early stages of bone regeneration, as compared with a standard SLA surface.
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Optimizing esthetics for implant restorations in the anterior maxilla: anatomic and surgical considerations.

TL;DR: In this paper, the authors present anatomic and surgical considerations for implant placement in the anterior maxilla, including mesiodistal, apicocoronal, and orofacial dimensions, defining "comfort" and "danger" zones for proper implant position.
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Tissue integration of non-submerged implants. 1-year results of a prospective study with 100 ITI hollow-cylinder and hollow-screw implants.

TL;DR: The results of this short-term study indicate that intentionally non-submerged ITI implants yield a high predictability for successful tissue integration.