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Tue, Sep 27

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Webinar

How Data Science Powers Medtech

Galen Data Medical Device Innovation Webinar Series Presents: How Data Science Powers Medtech

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How Data Science Powers Medtech
How Data Science Powers Medtech

Time & Location

Sep 27, 2022, 1:00 PM EDT

Webinar

About the Event

Galen Data Medical Device Innovation Webinar Series Presents:   

HOW DATA SCIENCE POWERS MEDTECH   

Medtech is set to soon overtake biotech by some estimations. This recent innovation boom is driven in large part by machine learning and data science in general. Angela's company is at the forefront of helping medtech firms leverage data for significant medical (and business) breakthroughs. Join this talk to learn about this industry transformation and practical tips on how you can position your company to succeed with data science.   

Key Takeaways: 

👉 What are the different categories of medtech diagnostic and therapeutic applications?   

👉 How is medtech transforming clinical trials?  

👉 What are the key principles to follow if digital health is part of your strategy?   

Speaker Bio: Angela Holmes is CEO of Mercury Data Science (MDS). At MDS, we build AI solutions for life sciences and healthcare to support drug discovery, medical devices, digital health and clinical trials. Our data science team is trained in computational biology, biophysics, neuroscience, and pharmacology. Our clients have been able to advance research and discovery, discover digital biomarkers to reduce reliance on subjective endpoints, increase clinical trial participant retention, improve algorithms for diagnosis and remote monitoring via medical devices, and predict the outcomes of claims.  Angela is an AI strategist with 15+ years of experience working with venture backed / high growth and enterprise organizations in healthcare, life sciences, energy, and financial services. She has experience in designing and implementing data and AI-driven solutions, guiding product development priorities, and growing software adoption and revenue. She has held leadership roles in machine learning (ML) driven software companies across sales, product strategy, marketing, and customer success. She holds Bachelor of Science and Master of Science degrees in Mechanical and Biomedical Engineering from Georgia Tech and Johns Hopkins University.

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