​​Weakly supervised mitosis detection in breast histopathology images using concentric loss

Weakly-supervised mitosis detection in breast histopathology images shows that only using one-click annotation can obtain the best performances on three challenging datasets.

Link: https://www.sciencedirect.com/science/article/abs/pii/S1361841519300118?dgcid=author

#healthcare #medical #CV #cancer #DL

Lessons learned building natural language processing systems in health care

It’s suprising, but #NLP in #healthcare doesn’t work the same way, as a researcher might expect, because of semantic.
Lesson #1: Off-the-shelf NLP models don’t work
Lesson #2: Build trainable NLP pipelines
Lesson #3: Start with labeling ground truth

Link: https://www.oreilly.com/ideas/lessons-learned-building-natural-language-processing-systems-in-health-care

​​Step Change Improvement in Molecular Property Prediction with PotentialNet

Paper on a significant improvement in ability to predict molecular properties in drug design. #ML algorithms are getting better and better than classical methods.

Link: https://medium.com/@pandelab/step-change-improvement-in-molecular-property-prediction-with-potentialnet-f431ffa32a2c

#drugsdesign #biolearning #healthcare

​​Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

Paper claims model to perform better than human.

ArXiV: https://arxiv.org/abs/1903.08297
GitHub (code & models): https://github.com/nyukat/breast_cancer_classifier

#BreastCaner #healthcare #DL #CV

​​New paper on #osteoarthritis progression prediction

Link: https://arxiv.org/abs/1904.06236
GitHub (model & code): https://github.com/MIPT-Oulu/OAProgression

#biolearning #healthcare #ML

​​End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Researchers from #GoogleAi and #Stanford published work today in #Nature that shows great potential to use machine learning to help catch more lung cancer cases earlier and increase survival likelihood.

Link: http://go.nature.com/2LSMaAz

#LungCancer #Cancer #biolearning #healthcare #DL #CV

​​Stanford researchers develop artificial intelligence tool to help detect brain aneurysms

Neural net for brain aneurysms detection

Link: https://news.stanford.edu/2019/06/07/ai-tool-helps-radiologists-detect-brain-aneurysms/

#CV #DL #healthcare #AI

​​Accelerating MRI reconstruction via active acquisition

Researchers from #Facebook AI propose a new approach to MRI reconstruction that restores a high fidelity image from partially observed measurements in less time and with fewer errors.

Link: https://ai.facebook.com/blog/accelerating-mri-reconstruction/
Paper link: https://research.fb.com/publications/reducing-uncertainty-in-undersampled-mri-reconstruction-with-active-acquisition/

#CV #DL #CVPR2019 #healthcare #MRI #biolearning

Using AI to Understand What Causes Diseases

An overview on applying data science in healthcare

Poster: https://info.gnshealthcare.com/hubfs/Publications_2019/ESMO_GI_Final_Poster_Printed_PD_20.pdf
Link: https://hbr.org/2019/11/using-ai-to-understand-what-causes-diseases

#meta #biolearning #dl #medical #healthcare

​​How climate change, air pollution, and provider shortages are making things worse for allergy-sufferers

Analytical research (including #interactive maps) of connection of air pollution to allergy reactions in the U.S.

Link: https://medium.com/ro-co/how-climate-change-air-pollution-and-provider-shortages-are-making-things-worse-for-90e0f8d4a36b

#eda #explorative #healthcare #medical