{"id":1128510,"date":"2025-02-21T03:42:48","date_gmt":"2025-02-21T11:42:48","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=1128510"},"modified":"2025-02-22T00:05:59","modified_gmt":"2025-02-22T08:05:59","slug":"ai-for-life","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/ai-for-life\/","title":{"rendered":"AI For Life @ Microsoft Research Asia \u2013 Shanghai"},"content":{"rendered":"\n<p><\/p>\n\n\n<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background- card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"720\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Background1-1920x720-1.png\" class=\"attachment-full size-full\" alt=\"Tree of AI in the background of a city\" style=\"\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Background1-1920x720-1.png 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Background1-1920x720-1-300x113.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Background1-1920x720-1-1024x384.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Background1-1920x720-1-768x288.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Background1-1920x720-1-1536x576.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Background1-1920x720-1-1600x600.png 1600w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Background1-1920x720-1-240x90.png 240w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 \">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading\" id=\"ai-for-life\">AI For Life <\/h1>\n\n\n\n<p>@ Microsoft Research Asia \u2013 Shanghai<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<p>Our team is exploring innovative solutions to promote well-being. We begin with pioneering continuous monitoring systems, achieved through hardware\u2013software co-design, and extend our work with the AI+Brain initiative, which aims to deepen our understanding of brain function and inspire the design of brain-inspired AI algorithms. We further explore cognitive training\u2014particularly for Alzheimer\u2019s patients.<\/p>\n\n\n\n<p>In medicine, our Disease-centric Foundation and Adaptation for Multimodal Medicine project develops unified multimodal foundation models to encode diverse medical data across various disease-specific scenarios. Complementing this, our AI for Biology and Drug Discovery effort leverages state-of-the-art machine learning techniques to address complex challenges\u2014from creating foundation models for DNA sequencing and generative models for single-cell data to identify optimal drug combinations and designing novel therapeutics through conditional 3D molecule generation.<\/p>\n\n\n\n<p>Additionally, our research studies accessibility challenges through our AI Speech Therapist, which integrates specialized speech feature detection with robust speech recognition to provide effective assessment and training for individuals with speech disorders.<\/p>\n\n\n\n<p>Together, these projects illustrate our commitment to harnessing advanced technologies to improve health and well-being for diverse populations.<\/p>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column material-card is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab186692200.png\" alt=\"A man with in-home monitoring \" class=\"wp-image-1128654\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab186692200.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab186692200-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab186692200-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab186692200-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab186692200-240x135.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab186692200-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab186692200-960x540.png 960w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"pl-4 pr-4 pt-3\"><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/revolutionizing-healthcare-continuous-monitoring-with-wireless-wearable-sensors-and-advanced-metasurfaces\/\">Beyond Hospital Walls: Transforming Healthcare using In-Home monitoring<\/a><\/strong><\/p>\n\n\n\n<p class=\"pl-4 pr-4\">We explore continuous monitoring systems based on hardware-software co-design to integrate advanced metasurfaces optimized to manipulate waves beyond conventional limits with sophisticated machine learning algorithms. Our research prototypes can all be delivered through user-friendly commodity devices with minimal intervention.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column material-card is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-1024x576.jpg\" alt=\"ReMe Block image 16:9\" class=\"wp-image-1128630\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-1536x864.jpg 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-240x135.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/Block_16x9.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"pl-4 pr-4 pt-3\"><strong><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/reme\/\">ReMe: A Cognitive Training Framework<\/a><\/strong><\/p>\n\n\n\n<p class=\"pl-4 pr-4\">An LLM-based framework designed to create AI chatbots that facilitate personalized cognitive training. It has the potential to be highly beneficial in the area of cognitive health, such as in the prevention and early intervention of Alzheimer&#8217;s disease.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column material-card is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"988\" height=\"572\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab20da09f3d.png\" alt=\"AI and Brain relationship \" class=\"wp-image-1128681\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab20da09f3d.png 988w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab20da09f3d-300x174.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab20da09f3d-768x445.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab20da09f3d-240x139.png 240w\" sizes=\"auto, (max-width: 988px) 100vw, 988px\" \/><\/figure>\n\n\n\n<p class=\"pl-4 pr-4 pt-3\"><strong><strong>AI+Brain<\/strong><\/strong><\/p>\n\n\n\n<p class=\"pl-4 pr-4\">The team conducts interdisciplinary research and uses artificial intelligence technology to help neuroscientists better understand the brain. This understanding may not only aid in exploring the mechanisms of brain diseases and promoting brain health but also provide inspiration from the brain to design smarter artificial intelligence. <\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column material-card is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"577\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-1024x577.png\" alt=\"Disease centric foundation and adaptation for multimodal medicine\" class=\"wp-image-1128849\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-1024x577.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-768x433.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-1536x865.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-240x135.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67abfdb4b556d.png 1800w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"pl-4 pr-4 pt-3\"><strong>Disease-centric Foundation and Adaptation for Multimodal Medicine<\/strong><\/p>\n\n\n\n<p class=\"pl-4 pr-4\">Develop multimodal foundation models for encoding diverse medical data and applying them across various disease-specific scenarios, striving for a unified solution to address diverse real-world healthcare challenges.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column material-card is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-1024x576.png\" alt=\"AI Speech Therapist project image\" class=\"wp-image-1128645\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-1536x864.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-240x135.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350-1920x1080.png 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/02\/image-67ab1530ca350.png 2000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"pl-4 pr-4 pt-3\"><strong>AI Speech Therapist<\/strong><\/p>\n\n\n\n<p class=\"pl-4 pr-4\">An innovative research prototype that leverages speech feature detection models, integrated with a robust general-purpose speech recognition engine, to power the assessment and training of people with speech disorder.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n\n\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>@ Microsoft Research Asia \u2013 Shanghai Our team is exploring innovative solutions to promote well-being. We begin with pioneering continuous monitoring systems, achieved through hardware\u2013software co-design, and extend our work with the AI+Brain initiative, which aims to deepen our understanding of brain function and inspire the design of brain-inspired AI algorithms. We further explore cognitive [&hellip;]<\/p>\n","protected":false},"featured_media":638595,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1128510","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[],"related-downloads":[],"related-videos":[1132188],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Nan Chen","user_id":42033,"people_section":"Related people","alias":"nanchen"},{"type":"user_nicename","display_name":"Dongqi Han","user_id":42384,"people_section":"Related people","alias":"dongqihan"},{"type":"user_nicename","display_name":"Xinyang Jiang","user_id":41802,"people_section":"Related people","alias":"xinyangjiang"},{"type":"user_nicename","display_name":"Shiqi Jiang","user_id":40675,"people_section":"Related people","alias":"shijiang"},{"type":"user_nicename","display_name":"Dongsheng Li","user_id":39402,"people_section":"Related people","alias":"dongsli"},{"type":"user_nicename","display_name":"Luna K. Qiu","user_id":41353,"people_section":"Related people","alias":"lunaqiu"},{"type":"user_nicename","display_name":"Caihua Shan","user_id":41638,"people_section":"Related people","alias":"caihuashan"},{"type":"user_nicename","display_name":"Zilong Wang","user_id":43764,"people_section":"Related people","alias":"wangzilong"},{"type":"user_nicename","display_name":"Yansen Wang","user_id":41380,"people_section":"Related people","alias":"yansenwang"},{"type":"user_nicename","display_name":"Yuqing Yang","user_id":40654,"people_section":"Related people","alias":"yuqyang"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1128510","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":34,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1128510\/revisions"}],"predecessor-version":[{"id":1131198,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1128510\/revisions\/1131198"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/638595"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1128510"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1128510"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1128510"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1128510"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1128510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}