Colin R Mitchell
@_mitchellcr
Head of Humanities @PHGFoundation | PhD legal researcher | thoughts and comments are my own.
ID: 246710917
https://www.phgfoundation.org/ 03-02-2011 09:34:58
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897 Following
NEW PAPER📢 When should humans remain in the loop? What are the ethical and legal considerations for automating clinical pathways? Take a look at our paper on artificial intelligence for Oesophageal Cancer. #Deltaproject #AIandhealthcare PHG Foundation tinyurl.com/muxkchr7
It also aims to help data scientists understand what #dataprotection considerations will ensure their #ArtificialIntelligence systems do not lead to unfair results for people and personal data is processed fairly. Reuben Binns @[email protected] Gianclaudio Malgieri Solon Barocas Adrian Weller Andrew Strait Jiahao Chen
Come and work with us! Exciting interdisciplinary research in #CELS group in Oxford Kate Lyle Dr Susie Weller Rachel Horton Lisa Hodges Ballard gabrielle samuel + other members of our team not on twitter! jobs.ac.uk/job/CYC616/sen…
Very proud and delighted to share that RDM Oxford Liz Ormondroyd and I have had our work published online today. You can read our systematic review in Clinical Genetics open access here: onlinelibrary.wiley.com/doi/full/10.11… #GCchat
Dr Maxine Mackintosh Genomics England will present our next hybrid Bradford Hill Seminar on: 'Tackling Bias and Inequities in Health and Genomic Data' 🗓️31st May, 1pm (UK) Free registration: eventbrite.co.uk/e/bradford-hil… #Genomics #genomicdata #DataScience
🦾👨⚕️ Vandaag houdt Corette Ploem, bijzonder hoogleraar Recht, zorgtechnologie en geneeskunde, haar oratie over dilemma's rond zorg en technologie. #zorgtechnologie is al overal en roept en roept ook vragen op. bit.ly/41mLtRP Law for Health and Life Amsterdam UMC @KNMG
Potentially huge from Google DeepMind ‘..AI model which classifies missense variants… it categorised 89% of all 71 million possible missense variants as either likely pathogenic or likely benign. By contrast, only 0.1% have been confirmed by human experts.’ #genetic #disease #AI
Nice work from this collaborative effort between us, In Silico Regulatory Science and Innovation MHRAgovuk and Royal Academy of Engineering