Professor Daniel Prieto-Alhambra

Topics discussed include (00:00:37) early interest in science and medicine, PhD studies in Barcelona, visiting PhD student at Oxford, health data sciences (00:02:42) use of existing data (routinely collected data and electronic medical records) for research into musculoskeletal conditions, comparison to clinical trials for research, including advantages of this kind of data; (00:06:18) curation of data and databases; (00:09:57) number of patients represented in study, types of questions investigated; (00:14:52) first awareness of COVID-19; (00:18:12) pivot towards working on COVID, including virtual study involving colleagues across the globe with the Observational Health Data Sciences and Informatics community, writing protocols on various studies including a study relating to repurposing of drugs; (00:23:13) hydroxychloroquine study and overlap with RECOVERY trial; (00:26:38) prediction and classification; (00:28:05) information flow between researchers and government; (00:29:48) work relating to candidate vaccines; (00:39:05) blood clotting; (00:41:24) Guillain-Barré syndrome, encephalomyelitis, and Bell’s palsy analysis; (00:46:00) long COVID; (00:52:06) current work relating to COVID; (00:53:05) predicting cancer, utilising artificial intelligence to classify cancer; (00:55:23) collaboration and competition during the pandemic; (00:56:16) personal threat from COVID-19; (00:58:00) remote working; (00:59:33) consideration of a return to clinical practice; (01:01:34) changes to working hours during the pandemic; (01:02:42) wellbeing during the pandemic; (01:03:44) changes in approach to work as a result of the pandemic.