Our News
APPLYING MACHINE LEARNING TO LABORATORY DATA: Predicting Suppression of Next HIV Viral Load In South Africa
HIV viral load suppression at next VL test was selected as primary outcome as it is an established clinical treatment outcome and objectively defined diagnostically measurable reading) and thus made for a good target outcome to build confidence around the approach.
Bridging the Public-Private Gap: How a Decade-Long Debate Became a Data Science Innovation
For as long as I can remember, my friend Lucien and I have argued over whose work makes more of a difference.
LINK and DETECT: how ‘big lab data’ is helping to determine HIV Vertical Transmission routes of exposed infants
The partnership between Palindrome Data and the National Institute for Communicable Diseases (NICD) aims to investigate and model the risk factors by transmission route that will allow us to identify high-risk negative babies BEFORE they become positive.
3 Things global development needs to know about Big Data and Analytics
Joining Palindrome and shifting my attention from big tech and financial services to “global development” has left me with whiplash. I’m really struggling to come to terms with development’s inability to grasp the gains being shared openly by the private sector. It’s an awful waste of groundbreaking research on the one side and good intentions on the other.
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