Medical, health, and genomics
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Research talk: Causality for medical image analysis
Machine learning has huge potential to augment medical image analysis workflows and improve patient care. However, two of its notorious real-world challenges are the difficulty in acquiring sufficient, high-quality annotated data and mismatches between the…
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Fireside chat: Emergent innovation
Have you wondered how to push the limits of your imagination in your research to drive significant and impactful change? In this talk, we are honored to be speaking with Noubar Afeyan, CEO and founder…
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Research talk: Domain-specific pretraining for vertical search
Information overload is a prevalent challenge in many high-value domains. Search in biomedicine, and many other vertical domains, is challenging due to the scarcity of direct supervision from click logs. Self-supervised learning has emerged as…
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Tutorial: Accelerating research with the InnerEye medical imaging toolbox and Azure machine learning
The InnerEye open-source toolbox powers the award-winning medical image project InnerEye and is based on the work of the Health Intelligence team at Microsoft Research Cambridge. In this session, we will provide a high-level introduction…
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Research talk: Learning to read the adaptive immune systems of humans
Humans’ adaptive immune system has evolved over hundreds of millions of years to recognize and destroy invading pathogens and retain an immunological memory to protect against future invasions. T cells are a key component of…
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Closing remarks: Health & Life Sciences – Discovery
Microsoft is exploring and making technological advances in collaboration with our research partners and the life sciences ecosystem around the globe in healthcare, biology, biotechnology, and precision medicine. In this track, you’ll learn about these…
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Research talk: CitizenEndo: Patient-centered endometriosis research
Endometriosis is an enigmatic condition, estimated to affect 10 percent of women of reproductive age. There is a dearth of data about the disease, and the current biomedical characterization does not align with patients’ symptoms. In…
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Research talk: Research and application of AI in Healthcare
Artificial intelligence (AI) applications are booming in the Healthcare industry—in research and development (R&D), pre-diagnosis, clinical practice, and disease management. Some examples of their use in R&D include virtual clinical trials, identifying biomarkers, and creating…
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Research talk: Decrypting the secret of gene regulation with AI
Gene regulation leads to the creation of different cell types that contain different gene expression profiles from the same genome sequence. This process is essential for cellular differentiation, morphogenesis, and normal functioning of tissues. Despite…
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Opening remarks: Health & Life Sciences – Discovery
Microsoft is exploring and making technological advances in collaboration with our research partners and the life sciences ecosystem around the globe in healthcare, biology, biotechnology, and precision medicine. In this track, you’ll learn about these…
