Previous seminars in the Falafel Series

Previous seminars in the Falafel Series about Artificial Intelligence at Karolinska Institutet.

#1 Magnus Boman - The AI @ KI project, some preliminary findings, Friday October 23, 2020

#2 Rebecka Skarstam - Non-expert programming advice for beginners, Friday October 9, 2020

#3 Fehmi Ben Abdesslem - Machine Learning for medical applications in Python, Friday November 6, 2020

#4 Joanna Hård - Phylogenetic Fatemapping, Friday November 20, 2020

#5 Peter Sjögårde - Community detection for subject mapping of AI publications at KI, Friday December 4, 2020

#6 Evangelia Gogoulou - Natural Language Processing for medical applications, Friday January 15, 2021

#7 Helga Westerlind - Machine learning for prediction of treatment outcomes in rheumatoid arthritis, Friday January 29, 2021

#8 Ashley Thompson - Multiclass machine learning in R: an exploration into adolescent self-harm and aggression, Friday February 12, 2021

#9 Carsten Daub - Basic machine learning in spatial transcriptomics and what we actually should be doing, Friday February 26, 2021

#10 Saikat Chatterjee - On ability and inability in artificial intelligence, Friday March 12, 2021

#11 Erik Aurell - Direct Coupling Analysis - a simple AI technique with biomedical applications, Friday March 26, 2021

#12 Mikael Huss - Machine learning in biomedical research is taking off, Friday April 9, 2021

#13 Johan Lundin - AI for diagnostics in resource-constrained environments - experiences from field studies in Kenya and Tanzania, Friday 23 April, 2021

#14 Sandra Eloranta - Risk prediction in lymphoma - can we do better than the International prognostic Index?, Friday May 7, 2021

#15 Summer Special – Interest Groups on AI, Friday May 21, 2021

#16 Ashley Tate - Bias in variable importance scores, Friday March 11, 2022

#17 Thomas Frisell - Precision medicine and AI for evaluating approved and off-label treatment strategies for MS patients, Friday March 25, 2022

#18 Stefan Skare - Deep learning in neuroradiology, Friday April 22, 2022

#19 Magnus Boman &  Sandra Eloranta - Predictive models for clinical decision making, Friday May 6, 2022

#20 Núria Rodrigues Ruiz - Multimodal Data Interpretation to Support Clinical Decision-Making in Precision Oncology - A Conceptual Design for Molecular Tumour Board Meetings, Friday 20 May 2022

#21 Rosario Silva Sipulveda - Using Multimodal Machine Learning for analysing multifactorial causes of disease - The case of childhood overweight and obesity in Mexico, Friday 10 June 2022