7-10 hours per week, self-paced online learning
February 01, 2023
Registration closes February 07, 2023
Payment options available
Length: 6 weeks
Effort: 7-10 hours per week, self-paced online learning
WSJ+ members are invited to register for the Launching HealthTech Innovation course presented by MIT Media Lab in collaboration with Esme Learning. As a part of this offer, learners will receive a 15% course cost reduction with code MITWSJ2022, alongside exclusive access to a white paper from Prof. Alex "Sandy" Pentland; Professor, Institute for Data Systems and Society, MIT Sloan School of Management. Upon completion of the course, participants will receive an additional $500 credit towards any future course with Esme Learning.
About the Launching HealthTech Innovation Course
Discover the path to successful digital health innovation.
Healthcare data can revolutionize how we think of every part of the healthcare ecosystem. Once the domain of niche consumer products like Jawbone and Fitbit, digital health is now disrupting the healthcare industry by creating new value using wearables and patient engagement data.
Investments in corporate innovation and startups are outpacing previous years, as investors and healthcare companies expect innovation to come from areas such as data interoperability, mental health and personalized care. According to Global Market Insights Inc., the worldwide digital health market is projected to hit $504.4B by 2025.
In light of this opportunity, the Leading Health Tech Innovation course was developed to provide a comprehensive guide to structuring a successful HealthTech product, service or venture.
This course is not just for entrepreneurs or those who join startups in the HealthTech space, it is also for those inventing new products and services within medium and large Healthcare companies looking to embrace the transformative power of AI-wearables and machine learning.
Course: Launching HealthTech Innovation
Format: online, collaborative learning
Duration: 6 weeks
Effort: 7-10 hours per week
Price: $2,800 $2,380
Certificate issued by: MIT Media Lab
An overview of the course, the next-generation AI platform used to deliver it, and the community of fellow AI innovators and leaders.
Explore the concepts of AI-wearables, health data and health tech and how they transform the health industry.Participants will learn:
Make the connection between innovation and technology aspects of apatient’s health and their data:
Discuss key principles and processes that will help forge the path to a successful healthtech product, service orventure:
Engage in a high-level introduction to the venture capital investment process including alternative funding sources:
Explore the mission value of ahealth tech product, service orventure and key considerations for determining whether it will follow an FDA approval track:
Data has been the beginning of many great products, services or ventures in health tech. In this module, learners will:
Prof. Rosalind Picard, Sc.D., is an MIT professor, inventor, author, and entrepreneur. Her team’s inventions have been twice named to "top ten" lists, including the New York Times Magazine's Best Ideas of 2006 for their Social Cue Reader, used in autism, and 2011's Popular Science Top Ten Inventions for a Mirror that Monitors Vital Signs. Her book, Affective Computing, helped launch the field by that name, giving computers (including software agents, robots, and interactive games) the skills of emotional intelligence.
She is one of the top two most-cited researchers in Digital Health and directs research at the MIT Media Lab on Affective Computing, especially focused on creating solutions to help people who are not flourishing or at risk of not flourishing. She teaches classes such as Affective Computing and Ethics, and AI for Good Mental Health. Picard’s inventions have led to AI-based advances in psychiatry and neurology, including the first smartwatch (commercialized by Empatica, sold as “Embrace”) cleared by FDA for monitoring and alerting to seizures, and wearable devices used by thousands of researchers globally for collecting medical data used in clinical trials and patient-focused research.
Picard has co-founded two successful businesses, Affectiva and Empatica. Empatica recently created a new AI wearable, in use in studies by the US Health and Human Services, for warning of a likely viral respiratory infection. She has a TEDx talk viewed by nearly two million people, and has received a variety of recognitions including one of the highest honors for an engineer, election to the National Academy.
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