illustration of DNA strand and abstract shapes on a computer screen on a green gradient background

Medical, health, and genomics

Digital pathology helps decode tumor microenvironments for precision immunotherapy. GigaPath is a novel vision transformer that can scale to gigapixel whole-slide images by adapting dilated attention for digital pathology. In joint work with Providence and UW, we’re sharing Prov-GigaPath, the first whole-slide pathology foundation model pretrained on large-scale real-world data, for advancing clinical research and discovery.

GigaPath: Whole-Slide Foundation Model for Digital Pathology

Research Forum Ep2 | Panel | Transforming the Natural Sciences with AI

Research Forum 2 | Panel Discussion: Transforming the Natural Sciences with AI

white icons of first aid kit, DNA strand, laptop monitor with overlapping eye, and microscope on a blue and green gradient background

Scaling early detection of esophageal cancer with AI

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Microsoft Health Futures

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Publication

3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context

Pawel Mlynarski, Herve' Delingette, Antonio Criminisi, Nicholas Ayache

Computerized Medical Imaging and Graphics | February 2019

Publication

Interpreting Deep Neural Networks Through Variable Importance.

Jonathan Ish-Horowicz, Dana Udwin, Seth R. Flaxman, Sarah Filippi, Lorin Crawford

arXiv | January 2019

Publication

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure

Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, Daniela Rus

AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society | January 2019

Video

Panel Discussion: AI for Societal Impact

January 25, 2019 | Amit Sharma, Ronak Sutaria, Purvi Shah, Kameshwari Chebrolu, Saket Anand

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…

Video: Panel Discussion: AI for Societal Impact

Video

Gamifier Policies : A Tool for Creating a Holistic Healthcare Ecosystem

January 25, 2019 | Hemant Pande, Saurabh Panjwani

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…

Video: Gamifier Policies : A Tool for Creating a Holistic Healthcare Ecosystem

Video

Atmos Realtime PM2.5 Air Quality for Citizen Science Monitoring

January 24, 2019 | Ronak Sutaria

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…

Video: Atmos Realtime PM2.5 Air Quality for Citizen Science Monitoring

Video

Track: AI for Societal Impact

January 24, 2019 | Amit Sharma

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…

Video: Track: AI for Societal Impact

Video

Panel Discussion: Challenges & Opportunities in AI

January 24, 2019 | P J Narayanan, Saikat Guha, Shankar Narasimhan, Ravi V, Ganesh Shankaralingam

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…

Video: Panel Discussion: Challenges & Opportunities in AI

Video

Private Multi-party AI

January 24, 2019 | Nishanth Chandran

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…

Video: Private Multi-party AI

Video

Co-designed Systems for Efficient DNN Training

January 24, 2019 | Muthian Sivathanu

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…

Video: Co-designed Systems for Efficient DNN Training

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