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

female doctor / nurse reviewing a tablet

Microsoft Health Futures

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Video

Artificial Social Intelligence

September 7, 2017 | Monojit Choudhury

Breakthroughs in Artificial Intelligence (AI) have typically shown that AI systems are good at solving specific tasks that have a well-defined goal, such as Speech Recognition, Image Captioning, Games like Poker/Go/Jeopardy, among others. However, as…

01:22:44

Publication

An Insight Extraction System on BioMedical Literature with Deep Neural Networks

Hua He, Kris Ganjam, Navendu Jain, Jessica Lundin, Ryen W. White, Jimmy Lin

Conference on Empirical Methods in Natural Language Processing (EMNLP) | September 2017

Publication

Hispanic Use of Alternative Medicine as Demonstrated in Internet Searches

Elad Yom-Tov, William F. Strong, Lupita Rodriguez Strong

Health Behavior Policy Review | September 2017, Vol 4: pp. 503-510

Project

Publication

Project Dhaka: Variational Autoencoder for Unmasking Tumor Heterogeneity from Single Cell Genomic Data

Ravi Pandya, Sabrina Rashid, CMU, Sohrab Shah, UBC & BC Cancer Agency

September 2017

Video Project

Publication

Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition

Jan Margeta, Antonio Criminisi, Rocio Cabrera Lozoya, Daniel C. Lee, Nicholas Ayache

Computer methods in biomechanics and biomedical engineering. Imaging & visualization | September 2017, Vol 5(5): pp. 339-349

Publication

Glabella: Continuously Sensing Blood Pressure Behavior using an Unobtrusive Wearable Device

Christian Holz, Edward Wang

Interactive, Mobile, Wearable and Ubiquitous Technologies | September 2017, pp. 23

Distinguished paper award

Project

Publication

Mother-to-Child HIV Transmission Bottleneck Selects for Consensus Virus with Lower Gag-Protease-Driven Replication Capacity

Vanessa L. Naidoo, Jaclyn K. Mann, Christie Noble, Emily Adland, Jonathan M. Carlson, Jake Thomas, Chanson J. Brumme, Christina F. Thobakgale-Tshabalala, Zabrina L. Brumme, Mark A. Brockman, Philip J. R. Goulder, Thumbi Ndung'u

Journal of Virology | September 2017, Vol 91: pp. e00518-17

Github Project

Publication

病理人工智能的现状和展望

Yan Xu, Ye Tang, Wen Yan, Eric Chang, Maode Lai

中华病理学杂志 | September 2017, Vol 46(9)

Project

Publication

Brief Report: Selection of HIV-1 Variants With Higher Transmission Potential by 1% Tenofovir Gel Microbicide

Nobubelo K. Ngandu, Jonathan M. Carlson, Denis R. Chopera, Nonkululeko Ndabamb, Quarraisha Abdool Karim, Salim Abdool Karim, Carolyn Williamson

Journal of Acquired Immune Deficiency Syndromes | September 2017, Vol 76: pp. 43-47

Github Project

Video

Unmasking Tumor Heterogeneity from Single Cell Genomic Data

August 21, 2017 | Sabrina Rashid

Intra-tumor heterogeneity is one of the key confounding factors in deciphering tumor evolution. Malignant cells even if coming from a single tumor will have variations in their gene expression, copy numbers, and mutation. Bulk sequencing…

Unmasking Tumor Heterogeneity from Single Cell Genomic Data

0:25:49

Medical, health, and genomics

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