PhD student in the @HDR_UK-@turinginst @wellcometrust PhD Programme in Health Data Science, based at @Cambridge_CL. Interested in Machine Learning in Health.

Joined November 2020
5 Photos and videos
Haoting Zhang retweeted
📢New blog! Find out how @HaotingZhang1 is using AI to investigate new drug combinations for cancer treatments in his PhD with @Cambridge_CL @ASTRAZENECAUK. bit.ly/49yXLvl
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Furthermore, SynBa provides improved accuracy of dose-response predictions and better-calibrated uncertainty estimation for the parameters and the predictions. By following a principled Bayesian workflow, we do not need to trade off predictive accuracy for uncertainty estimation.
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We are particularly excited about what comes after this paper. Ultimately, the goal is that the model will be actionable in real-world scenarios. Stay tuned :)
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SynBa is developed with the aim of providing uncertainty estimates for the model outputs of interest, so that actionable decision-making criteria can be derived from the model outputs.
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For example, in monotherapy, we may be interested in the potency (e.g. IC50) and the efficacy (e.g. Einf) of a single agent. Figure 3 is an example that shows how the uncertainty estimates in SynBa evolve as more data become available.
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Haoting Zhang retweeted
A piece on our recent @HDR_UK PhD Immersion Week with @ASTRAZENECAUK hdruk.ac.uk/?p=461530 (based on notes by @claireicoffey and co)

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Thank you so much Marta for hosting us throughout the 3 days! Also a massive thanks to Vera and Chris @cwcyau for making it happen! It has been a brilliant and unique experience for all of us.
Amazing 3 days with the @HDR_UK, @turinginst @wellcometrust PhD students in Health Data Science, for their Immersion Week at @ASTRAZENECA. Hope to get more interaction @cwcyau
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