Medical, health and genomics
Applying novel computational tools and analytic techniques to transform healthcare and empower people to lead healthier lives.
Highlights
Studies in Pandemic Preparedness to tackle COVID-19
Read more about Studies in Pandemic Preparedness to tackle COVID-19
Domain-specific language model pretraining for biomedical natural language processing
Read more about Domain-specific language model pretraining for biomedical natural language processing
AI, Azure and the future of healthcare with Dr. Peter Lee
Read more about AI, Azure and the future of healthcare with Dr. Peter Lee
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1,232 results found
Publication
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
Telehealth and remote health monitoring have become increasingly important during the SARS-CoV-2 pandemic and it is widely expected that this will have a lasting impact on healthcare practices. These tools can help reduce the risk of exposing patients and medical staff to infection, make healthcare services more accessible, and allow providers to see more patients. However, objective measurement of vital signs is challenging without direct contact with a patient. We present a video-based and on-device…
Project
Physiological Sensing
Our neural physiological sensing algorithms combine accuracy with computational efficiency so that we can enable on device measurement, even using a cellphone.
Group
Precision Population Health
Led by Dr. Weinstein, an internationally renowned spine surgeon, policymaker, and healthcare leader, Microsoft Healthcare NExT’s Population Health Group works with healthcare delivery and payer organizations to leverage Microsoft’s: technological innovation in data collection, ingestion, and analysis; trusted and secure healthcare platform; interpretable artificial intelligence methods; and partner ecosystem.
Career Opportunity
Research Intern – Deep Learning and Natural Language Processing
The advent of big data heralds a new era of precision healthcare, where medicine is tailored to individuals, reducing cost, suffering, and missed treatment opportunities. AI can play a key role in this transformation by discerning knowledge from data and separating signal from noise. Health Next is an interdisciplinary team of scientists, engineers, and medical doctors who endeavor to develop next-generation AI for precision healthcare. We offer a unique vibrant environment that features cutting-edge academic…
Career Opportunity
Research Intern – Biomedical Image Reconstruction
Medical imaging instruments, such as MRI or CT scanners, produce vast amounts of raw data that must be transformed into images for interpretation by clinicians. This process, known as image reconstruction, can be enhanced and improved with modern computational techniques and machine learning. Advanced image reconstruction techniques can be used to accelerate the image acquisition process and improve diagnostic quality. Microsoft is investing in transformational image reconstruction techniques. Microsoft Health Futures is an interdisciplinary team…
Career Opportunity
Research Intern – Machine learning for biology and healthcare
Microsoft Research New England’s Biomedical ML Group thrives at the intersection of machine learning and biology and healthcare. Our interests include ML techniques in healthcare, generative models of proteins and chemical reactions, computational immunology, ML for protein engineering, and understanding how nonlinear interactions between genetic features contribute to causing disease. Job number: 935056
Event
Accessible Computer Science Education Fall Workshop
The Accessible Learning Fall Workshop will be three intensive days of talks, discussions and planning for new research dedicated to improving learning experiences for people with disabilities. At this event, we will build a research driven coalition of civic, academic, and industrial leaders and practitioners to envision what evidence-driven tools, services and ecosystems could be built for making learning more accessible. Together we will develop research and action plans to conduct real world research and…
Publication
Towards Compliant Data Management Systems for Healthcare ML
The increasing popularity of machine learning approaches and the rising awareness of data protection and data privacy presents an opportunity to build truly secure and trustworthy healthcare systems. Regulations such as GDPR and HIPAA present broad guidelines and frameworks, but the implementation can present technical challenges. Compliant data management systems require enforcement of a number of technical and administrative safeguards. While policies can be set for both safeguards there is limited availability to understand compliance…
Group
Biomedical ML
Microsoft Research New England’s Biomedical ML Group thrives at the intersection of machine learning and biology and healthcare. Our interests include ML techniques in healthcare, generative models of proteins and chemical reactions, computational immunology, ML for protein engineering, and understanding how nonlinear interactions between genetic features contribute to causing disease. Please navigate the tabs to learn more about us, our work, and how to become part of it!
Career Opportunity
Post Doc Researcher – Computational Biology
We are seeking applicants in Microsoft Research New England (Cambridge, MA) for postdoctoral researchers in computational biology and medicine. In particular, we are looking for candidates able to bridge computational/statistical thinking and open problems in biology and medicine. Some areas of interest include, but are not limited to: Genomics, Proteomics, Immunology, Metabolomics, Gene editing, Clinical NLP, Clinical informatics, Digital pathology. Microsoft Research New England is comprised of forty full-time researchers, engineers, data scientists, program managers,…