I have dreamed big about AI for the future of healthcare.
Now, after just 9 months, it is happening at a fast rate. At the Asian Conference on Machine Learning this year (Nov, 2017) held in Seoul, Korea, I delivered a tutorial covering latest developments on the intersection at the most exciting topic of the day (Deep learning), and the most important topic of our time (Biomedicine).
The tutorial page with slides and references is here.
The time has come. Stay tuned.
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ReplyDeleteDeep learning is revolutionizing the field of biomedicine, with its potential to analyze complex biological data and uncover hidden patterns.
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Key Applications of Deep Learning in Biomedicine
Drug Discovery:
Identifying drug targets
Predicting drug efficacy and toxicity
Accelerating the drug development process
Medical Imaging:
Image segmentation and classification
Disease detection and diagnosis (e.g., cancer detection, early-stage disease identification)
Medical image reconstruction