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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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Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations

Asma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen

ClinicalNLP@ACL 2023 | July 2023

Publication

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur, Stephanie Hyland, Flora Liu, Fernando Pérez-García, Maximilian Ilse, Daniel Coelho de Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Teodora Wetscherek, Matthew Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | June 2023

Access Project

Microsoft Research Blog

Accounting for past imaging studies: Enhancing radiology AI and reporting

June 13, 2023 | Ozan Oktay, Javier Alvarez-Valle, Matthew Lungren

The use of self-supervision from image-text pairs has been a key enabler in the development of scalable and flexible vision-language AI models in not only general domains but also in biomedical domains such as radiology.…

Publication

Federated Multilingual Models for Medical Transcript Analysis

Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis

Conference on Health, Inference, and Learning | June 2023

Publication

Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism

Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu

ICASSP 23 | June 2023

Publication

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao

June 2023

Video Project

Publication

Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?

Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin , Rich Caruana

Conference on Health, Inference, and Learning (CHIL) 2023 | June 2023

Publication

Fine-tuning large neural language models for biomedical natural language processing

Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon

Patterns | June 2023, Vol 4(4)

Video

Microsoft’s Holoportation™ Communications Technology: Facilitating 3D Telemedicine

May 30, 2023

Microsoft Research is collaborating with the UK National Health Service and the Ghana Ministry of Health to facilitate 3D Telemedicine. This video provides an overview of Microsoft’s Holoportation™ communications technology, as well as the accomplishment…

04:48

Microsoft Research Blog

3D telemedicine brings better care to underserved and rural communities, even across continents

May 30, 2023 | Spencer Fowers, Chris Stetkiewicz

Providing healthcare in remote or rural areas is challenging, particularly specialized medicine and surgical procedures. Patients may need to travel long distances just to get to medical facilities and to communicate with caregivers. They may…

Medical, health, and genomics

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