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Showing posts from March, 2018

Points of Significance

Points of Significance

A useful on-going series of articles to get you up to speed in the issues of statistical modelling and machine learning.

https://www.nature.com/collections/qghhqm/pointsofsignificance
https://www.nature.com/collections/qghhqm/pointsofsignificance

Overdiagnosis: when finding cancer can do more harm than good

Overdiagnosis: when finding cancer can do more harm than good
http://scienceblog.cancerresearchuk.org/2018/03/06/overdiagnosis-when-finding-cancer-can-do-more-harm-than-good/?utm_source=twitter_cr_uk&utm_medium=cruksocialmedia&utm_campaign=owntwitter_tweet

This is an interesting opinion piece.

This is an interesting opinion piece.

'#MachineLearning in context: "... there is no specific threshold wherein a model suddenly becomes “machine learning”; rather, all of these approaches exist along a continuum, determined by how many human assumptions are placed onto the algorithm.'

https://jamanetwork.com/journals/jama/fullarticle/2675024

Big C funds new cancer research

Big C funds new cancer research

Dr Dan Brewer says, “I am really thankful to Big C and all the volunteers and fundraisers that support them for this exciting opportunity to apply cutting edge mathematical techniques to help define novel subgroups of cancer. This funding will also enable us to train a world-class scientist at the key interface between cancer and bioinformatics who will have all the skills required to continue cancer research in this era of big data and personalised medicine.”

https://fundraise.big-c.co.uk/news/major-local-research-grants-announced-by-big-c/

Exciting PhD studentship opportunity in my group: Detecting novel subtypes of cancer using data science and machine...


Exciting PhD studentship opportunity in my group: Detecting novel subtypes of cancer using data science and machine learning.
Application deadline 09/04/18.
Start date October 2018.

More details: https://goo.gl/hsaNuM

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