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Litteraturlista KOGP06 - VT26
Microsoft Word - LIVK10 dk 1 LIVK60 litteraturlista VT26
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Blog Archive - Page 26 of 33 - The Raoul Wallenberg Institute of Human Rights and Humanitarian Law
https://rwi.lu.se/blog/page/26/ - 2026-05-17
Online Symposium on Human Rights in Transition 25-26 October - The Raoul Wallenberg Institute of Hum
MRSK62_Litteraturlista_VT26
Microsoft Word - 2008-08-26 - Marklund-Lundin - Learning using computer based simulation.doc
Publications Archive - Page 26 of 43 - The Raoul Wallenberg Institute of Human Rights and Humanitari
https://rwi.lu.se/publications/page/26/ - 2026-05-15
Litteraturlista KOGP04 - VT26
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MRSG22_Litteraturlista_VT26
Pharmaceutical Industry Off-label Promotion and Self-regulation: A Document Analysis of Off-label Promotion Rulings by the United Kingdom Prescription Medicines Code of Practice Authority 2003-2012.
Background: European Union law prohibits companies from marketing drugs off-label. In the United Kingdom — as in some other European countries, but unlike the United States — industry self-regulatory bodies are tasked with supervising compliance with marketing rules. The objectives of this study were to (1) characterize off-label promotion rulings in the UK compared to the whistleblower-initiated
EHL-antagningsblankett-FU-eng
Application Surname, name Date of birth / personal identification number (YY-MM-DD) Home address Sex Female Male Post code, city, country Telephone E-mail If applicable, former surname Relevant education Degree/education (enclose official transcript) Credits Date University Country Application intended for Department Faculty Research subject Application is intended for the following degree Licenti
https://www.lusem.lu.se/sites/lusem.lu.se/files/2024-01/EHL-antagningsblankett-FU-eng.pdf - 2026-05-16
Språk och språkvetenskap, Lingvistik - Masterprogram
Predicting 30-day Mortality after ICU admission, with the help of SAPS 3, Medication Records, and Machine Learning
Varje minut räknas på en intensivvårdsavdelning. Att snabbt kunna avgöra vilka patienter som har störst risk att gå bort kan vara avgörande för att rädda liv och för att använda resurser på bästa sätt. Men kan moderna maskininlärnings tekniker använda sig av digitala medicinregister för att göra dagens riskbedömningar ännu bättre? I detta examensarbete undersöks om digitala medicinregister kan för
