Medical, health and genomics
Applying novel computational tools and analytic techniques to transform healthcare and empower people to lead healthier lives.
Highlights
Extending the reach of care: Tending to patients using chat app technology
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Data-driven insights for more effective, personalized care in online mental health interventions
Read more about Data-driven insights for more effective, personalized care in online mental health interventions
Innvoation: Understanding biological computation
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1,184 results found
Publication
Sense and Accessibility: Understanding People with Physical Disabilities’ Experiences with Sensing Systems
Sensing technologies that implicitly and explicitly mediate digital experiences are an increasingly pervasive part of daily living; it is vital to ensure that these technologies work appropriately for people with physical disabilities. We conducted on online survey with 40 adults with physical disabilities, gathering open-ended descriptions about respondents’ experiences with a variety of sensing systems, including motion sensors, biometric sensors, speech input, as well as touch and gesture systems. We present findings regarding the many…
Group
Microsoft Africa Research Institute (MARI)
The Microsoft Africa Research Institute is a new research institute located in Nairobi, Kenya, alongside the African Development Centre (ADC). Our mission is to understand, build and deploy innovative cloud and AI technologies which not only address core opportunities in Africa and help to solve local challenges at scale but which will create a more productive future globally.
Career Opportunity
Senior Research SDE – Health Cloud
We are looking for a strong talent who is passionate about Health Cloud and building large scale platforms to drive our service to the next level of success. You should be a highly motivated software engineer with solid understanding of data structures, coding and troubleshooting skills. You’ll design, implement, work closely with other engineers and program managers, and deliver end-to-end service experience. You will be part of a strong team that solves challenging problems every…
Microsoft Research Blog
Researchers use a strand-displacing DNA polymerase to do biocomputing
All around us, biochemical systems are regulating a variety of natural processes, from our body’s ability to protect our skin through the timely production of melanin to plants’ ability to convert carbon dioxide into carbohydrates and oxygen using sunlight. Replicating and programming such complex systems—essentially creating computing networks capable of operating in biological environments—offers a unique opportunity to go where traditional silicon-based computers can’t. For example, with synthetic biocompatible controllers, we’re looking at the potential…
Video
Frontiers in Machine Learning: Saving Lives with Interpretable ML
This session is about Saving Lives Using Interpretable Machine Learning in HealthCare. It’s critical to make sure healthcare models are safe to deploy. One challenge is that most patients are receiving treatment and that affects the data. A model might learn high blood pressure is good for you because the treatment given when you have blood pressure lowers risk compared to healthier patients with lower blood pressure. There are many ways confounding can cause models…
Career Opportunity
Data Science Researcher – Healthcare
Seeking a collaborative data scientist who is facile in analytics, PowerBI, and writing. Able to conduct independent, careful, thoughtful work with oversight. Healthcare experience preferred. Job number: 862954
Microsoft Research Blog
A path to personalization: Using ML to subtype patients receiving digital mental health interventions
Mental health experiences vary widely from individual to individual. Because of this, effective treatment is about identifying the unique set of tools that will help a person manage their mental health productively. And that rarely happens overnight. People experiencing symptoms of depression, anxiety, or other mental health conditions know the therapeutic process can be a long and arduous one. But as healthcare becomes more digital, we see an opportunity to help people key in on…
Publication
A Machine Learning Approach to Understanding Patterns of Engagement with Internet-Delivered Mental Health Interventions
A Machine Learning Approach to Understanding Patterns of Engagement with Internet-Delivered Mental Health Interventions Importance The mechanisms by which engagement with internet-delivered psychological interventions are associated with depression and anxiety symptoms are unclear. Objective To identify behavior types based on how people engage with an internet-based cognitive behavioral therapy (iCBT) intervention for symptoms of depression and anxiety. Design, Setting, and Participants Deidentified data on 54 604 adult patients assigned to the Space From Depression and Anxiety treatment program from…
Publication
Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study
Missing observations are always a challenging problem that we have to deal with in diseases that require follow-up. In hospital records for vesicoureteral reflux (VUR) and recurrent urinary tract infection (rUTI), the number of complete cases is very low on demographic and clinical characteristics, laboratory findings, and imaging data. On the other hand, deep learning (DL) approaches can be used for highly missing observation scenarios with its own missing ratio algorithm. In this study, the…
Group
Studies in Pandemic Preparedness
These collaborative projects with academia span topics including infection prevention and control, treatment and diagnostics, allocation of resources, mental health implications and return to work.