Publications by authors named "M S Ladewig"

Article Synopsis
  • The GA4GH Phenopacket Schema, released in 2022 and approved as a standard by ISO, allows the sharing of clinical and genomic data, including phenotypic descriptions and genetic information, to aid in genomic diagnostics.
  • Phenopacket Store Version 0.1.19 offers a collection of 6668 phenopackets linked to various diseases and genes, making it a crucial resource for testing algorithms and software in genomic research.
  • This collection represents the first extensive case-level, standardized phenotypic information sourced from medical literature, supporting advancements in diagnostic genomics and machine learning applications.
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Aim: To investigate the influence of ophthalmic viscoelastic devices (OVDs) and different surgical approaches on the intraocular pressure (IOP) before and after creation of the curvilinear circular capsulorhexis (CCC) as a measure for anterior chamber stability during this maneuver.

Methods: Prospective experimental WetLab study carried out on enucleated porcine eyes. IOP was measured before and after CCC with the iCare Rebound tonometer (iCare ic200; iCare Finland Oy, Vantaa, Finland).

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The Global Alliance for Genomics and Health (GA4GH) Phenopacket Schema was released in 2022 and approved by ISO as a standard for sharing clinical and genomic information about an individual, including phenotypic descriptions, numerical measurements, genetic information, diagnoses, and treatments. A phenopacket can be used as an input file for software that supports phenotype-driven genomic diagnostics and for algorithms that facilitate patient classification and stratification for identifying new diseases and treatments. There has been a great need for a collection of phenopackets to test software pipelines and algorithms.

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Background: Navigating the clinical literature to determine the optimal clinical management for rare diseases presents significant challenges. We introduce the Medical Action Ontology (MAxO), an ontology specifically designed to organize medical procedures, therapies, and interventions.

Methods: MAxO incorporates logical structures that link MAxO terms to numerous other ontologies within the OBO Foundry.

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The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English.

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