Abstract We live in a “search engine society”. Underlying this self-description of post-modern society there is the crucial dependency of social memory from archives. Apart from moral and legal concerns, search engines are sociologically intriguing subject because of their close connection with the evolution of social memory. In this contribution I...
Published in JMIR medical education
Access to reliable and accurate digital health web-based resources is crucial. However, the lack of dedicated search engines for non-English languages, such as French, is a significant obstacle in this field. Thus, we developed and implemented a multilingual, multiterminology semantic search engine called Catalog and Index of Digital Health Teachin...
Published in Journal of proteome research
Fast Photochemical Oxidation of Proteins (FPOP) is a promising technique for studying protein structure and dynamics. The quality of insight provided by FPOP depends on the reliability of the determination of the modification site. This study investigates the performance of two search engines, Mascot and PEAKS, for the data processing of FPOP analy...
Published in The Laryngoscope
To identify the most frequently asked questions regarding "laryngectomy" through an assessment of online search data. Google Search data based on the search term "laryngectomy" were analyzed using Google Trends and Search Response. The most common People Also Ask (PAA) questions were identified and classified by the concept. Each website linked to ...
Published in Respiratory care
Without a literature review, there can be no research project. Literature reviews are necessary to learn what is known (and not known) about a topic of interest. In the respiratory care profession, the body of research is enormous, so a method to search the medical literature efficiently is needed. Selecting the correct databases, use of Boolean lo...
Published in Cureus
Background Artificial intelligence (AI) has the potential to be integrated into medical education. Among AI-based technology, large language models (LLMs) such as ChatGPT, Google Bard, Microsoft Bing, and Perplexity have emerged as powerful tools with capabilities in natural language processing. With this background, this study investigates the kno...
Published in Journal of proteome research
Cross-linking mass spectrometry has become a powerful tool for the identification of protein-protein interactions and for gaining insight into the structures of proteins. We previously published MS Annika, a cross-linking search engine which can accurately identify cross-linked peptides in MS2 spectra from a variety of different MS-cleavable cross-...
