Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the astra-sites domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/widehealth.eu/public_html/wp-includes/functions.php on line 6121

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the wpforms-lite domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/widehealth.eu/public_html/wp-includes/functions.php on line 6121

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the astra domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/widehealth.eu/public_html/wp-includes/functions.php on line 6121
9th WideHealth Seminar: Catia Pesquita, “Knowledge Science for trust in AI-based biomedical and clinical applications” – WideHealth

9th WideHealth Seminar: Catia Pesquita, “Knowledge Science for trust in AI-based biomedical and clinical applications”

April 26th, 2022 – 14:00 CET
Registration link: https://bit.ly/3uER094
Registration is free (zoom link shared before the session to those who register)

Date: April 26, 2022 02:00 PM CET (1PM in Portugal)

Speaker: Catia Pesquita

Title: Knowledge Science for trust in AI-based biomedical and clinical applications

Abstract: Biomedical and clinical applications of artificial intelligence are increasingly popular in the scientific community. However, concerns about potential bias and the lack of explainability of high-performing machine learning methods such as deep learning are limiting their adoption in practice. In this talk I explain what knowledge science is and why it is key to assess the trustworthiness of biomedical data and AI outcomes. In particular, I discuss three contexts, data, domain and user, and draw on specific examples to illustrate pitfalls and how knowledge science can overcome them.

Short bio: Catia Pesquita is an Assistant Professor in Computer Science at Faculdade de Ciências da Universidade de Lisboa and a Senior Researcher at LASIGE where she leads the Health and Bioinformatics Research Line of Excellence. She has a multidisciplinary background in Biology and Computer Science, and she develops her research at the intersection between the areas of Knowledge Representation and Data Mining, with a focus on biomedical and healthcare applications. She has made internationally recognized contributions, namely in the areas of ontology-based semantic similarity and ontology alignment, winning multiple awards and competitions. She is deeply interested in how human knowledge can be communicated to computers and vice-versa.

The EU-funded WideHealth project aims to conduct research on pervasive eHealth and establish a sustainable network of research and dissemination across Europe.

Web: https://widehealth.eu/ 
Twitter: https://twitter.com/EuWidehealth
LinkedIn: https://www.linkedin.com/in/widehealth-project-eu-105610207
YouTube: https://www.youtube.com/channel/UCaPIT67HZEcHnU4IhdsCx_Q
Spotify: https://open.spotify.com/show/5Bo9oEVTROTj9P1pl4ZrR5