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

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Scaling early detection of esophageal cancer with AI

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Microsoft Health Futures

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Published Date

Publication

The Role of Context in the Prediction of Acute Hypotension in Critical Care

Niranjani Prasad, Konstantina Palla

SAIL: Symposium on Artificial Intelligence for Learning Health Systems, 2020 | October 2020

Project

Publication

Molecular estimation of neurodegeneration pseudotime in older brains

Sumit Mukherjee, Laura Heath, Christoph Preuss, Suman Jayadev, Gwenn Garden, Anna Greenwood, Solveig Sieberts, Phillip De Jager, Nilufer Ertekin-Taner, Gregory Carter, Lara Mangravite, Benjamin Logsdon

October 2020

Accepted to Nature Communications

Publication

Situational Awareness: Inequity.

James Weinstein

Spine | September 2020, Vol 45(19): pp. 1317-1319

Publication

Assessment of Year-to-Year Patient-Specific Comorbid Conditions Reported in the Medicare Chronic Conditions Data Warehouse.

Bill Weeks, Grace Huynh, Stacey Y. Cao, Jeremy Smith, James Weinstein

JAMA Network Open | September 2020, Vol 3(10)

Publication

Point of View: “Correlates of Google Search Rankings for Spine Surgeons: An Analysis of Academic Pedigree, Social Media Presence, and Patient Ratings”.

Bill Weeks, Nitesh Jain, James Weinstein

Spine | September 2020, Vol 45(19): pp. 1382

Project

Transforming hospital care with AI insights from EHRs

With hospitals facing rising care demands from relatively fewer resources there is a growing imperative to transform the future of hospital care. Effectively managing patients along the therapeutic pathways through a hospital involves hundreds and…

Video

Recent Efforts Towards Efficient And Scalable Neural Waveform Coding

September 29, 2020 | Kai Zhen

Acoustic signal compression techniques, converting the floating-point waveform into the bitstream representation, serve a cornerstone in the current data storage and telecommunication infrastructure. The rise of data-driven approaches for acoustic coding systems brings in not…

50:36

Tool

InnerEye-CreateDataset

InnerEye-CreateDataset contains tools to convert medical datasets in DICOM-RT format to NIFTI. Datasets converted using this tool can be consumed directly by InnerEye-DeepLearning.

GitHub Publication

Publication

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

Ryutaro Tanno (rytanno) *, Le Zhang*, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander

NeurIPS | September 2020

Publication

Marshall Plan 2.0.

James Weinstein

Spine | September 2020

Medical, health, and genomics

Highlights