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@@ -25,6 +25,7 @@ <h1>Building for Digital Health</h1>
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<div class="four wide column floated left nav">
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<div class="ui vertical menu">
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<a href="#overview" class="active item"><i class="home icon"></i>Overview</a>
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<a href="#projects" class="item"><i class="phone icon"></i>Projects</a>
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<a href="#schedule" class="item"><i class="calendar icon"></i>Schedule</a>
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<a href="#studentinformation" class="item"><i class="doc icon"></i>Readings</a>
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</div>
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sensor technologies, privacy, security, and more. In the final week of class, teams will present
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their final project (app) to a panel of digital health experts.
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</p>
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<h3 class="pulled left">Goals</h3>
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<ul>
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<li>
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Gain exposure to unmet needs in the healthcare field and learn to design and build
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secure digital solutions to address them.
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</li>
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<li>
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Get experience working with technical and multidisciplinary teams with the help of
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external mentors and industry experts who can help guide career paths in health tech
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innovation.
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</li>
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<li>
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Become familiar with the iOS platform, the Swift programming language,
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the use of CardinalKit and other open-source frameworks, and secure
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data collection practices.
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</li>
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</ul>
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<h3 class="pulled left">At a glance</h3>
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<table class="ui definition table segment">
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<tbody>
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</tbody>
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</table>
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</div>
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<!-- <div id="teams" class="section">
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<h3 class="pulled left">Teams</h3>
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<h2>CHOIR (Collaborative Health Outcomes Information Registry)</h2>
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<p>Led by Sean Mackey, MD (Chief Pain Medicine, Department of Anesthesia)</p>
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<p>
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An astounding 50-100 million Americans live with ongoing pain, with approximately 20 million
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enduring high-impact chronic pain that includes substantially restricted work, social, and
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self-care activities. The National Academy of Medicine has called for the development of
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learning health systems to capture high-quality data in real-world clinical settings to
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optimize care and foster innovative research discoveries. We have answered that call by
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developing CHOIR – an open-source learning health system developed at Stanford with 10 years
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of implementation and enhancements. CHOIR is used extensively at Stanford and at academic
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medical centers nationally and has characterized hundreds of thousands of patients. As a
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web-based platform, CHOIR can collect many forms of data. However, CHOIR has long needed a
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system to integrate sensor and meta data from phones and wearables. Here, we propose to
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integrate sensor (e.g., triaxial accelerometry, heart rate and heart rate variability, GPS
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coordinates) and momentary assessments within the CHOIR data lake. Data integration will
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occur through SMART on FHIR technologies into the clinical electronic medical record and
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workflows for patient assessments. While many research projects may result from this effort,
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we first propose a project to characterize the associations between heart rate variability
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(an indicator of stress) and momentary assessment of chronic pain symptoms.
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</p>
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<div class="action"><a href="https://bit.ly/3mAOUmr" class="ui mini teal button">Team Card</a>
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</div>
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<br />
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<br />
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<h2>BUDI (Biofeedback Upper-Limb Device for Impairment)</h2>
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<p>Led by Dr. Jennifer O’Malley, Dr. Scott Delp, Dr. Emily Kraus, Blynn Shideler MS1</p>
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<p>
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We are applying to the Stanford Biodesign Building for Digital Health course to support the
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development of BUDI—the Biofeedback Upper-Limb Device for Impairment (BUDI), a digital
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health solution for individuals with limited upper limb mobility, such as children with
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cerebral palsy. BUDI is a program embedded into an Apple Watch to track therapeutic
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movements of the user throughout the day and provide the user with biofeedback to maximize
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therapy and rehabilitation of the upper limb in the absence of a clinician.
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</p>
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<div class="action"><a href="https://bit.ly/3p5Tg6v" class="ui mini teal button">Team Card</a>
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<div id="projects" class="section">
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<div class="ui secondary pointing menu">
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<a href="#overview" class="item"><i class="home icon"></i>Overview</a>
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<a href="#projects" class="active item"><i class="phone icon"></i>Projects</a>
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<a href="#schedule" class="item"><i class="calendar icon"></i>Schedule</a>
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<a href="#studentinformation" class="item"><i class="doc icon"></i>Student Info</a>
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</div>
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<br />
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<br />
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<h2>Activate: (Lifestyle Interventions for People with Schizophrenia Spectrum Disorders)</h2>
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<p>Led by Dr. Douglas Noordsy, Dr. Vanika Chawla</p>
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<h3 class="pulled left">Projects</h3>
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<p>
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Schizophrenia spectrum disorders include positive, negative and cognitive symptoms. In
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addition to psychiatric symptoms, individuals have increased rates of cardiometabolic
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disease and reduced life expectancy. Lifestyle factors such as sedentary behaviours and
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unhealthy diet are contributory. There is an unmet clinical need for an easily accessible
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and portable intervention to improve lifestyle factors in individuals with schizophrenia
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spectrum disorders that reduces symptom burden and improves metabolic risk factors. We
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propose a novel mobile application-based intervention and clinical support tool to help
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individuals with schizophrenia spectrum disorders to make positive lifestyle changes. To our
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knowledge, there is currently no publicly available mobile application to support
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individuals with schizophrenia to make lifestyle changes.
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Students will be able to work on one of four projects for the Winter of 2022.
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The participating projects will present their challenges during the first lecture.
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Everyone will have an opportunity to submit a form of interest with their preference
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during the first day of class. We will then create balanced teams based on this input.
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</p>
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<div class="action"><a href="https://bit.ly/3IX7q1N" class="ui mini teal button">Team Card</a>
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</div>
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<br />
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<br />
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<h2>GaitMate: Functional Mobility Assessment (FMA) for Fall Risk</h2>
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<p>Led by Dr. Brian Suffoletto, Dr. David Kim</p>
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<p>
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Falls in older adults are common, costly and preventable yet identification of those at
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highest risk remains elusive. At home functional mobility assessments could identify
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perturbations not identified in sparse healthcare encounters. As such, we propose to work
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with Biodesign students to build a user-friendly app using Stanford’s Cardinal Kit that
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automates at-home safe functional mobility assessments, pilot test the app in 200 older
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adults, and build predictive models using at-home data. This project will allow us to
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generate the evidence to take next steps toward research funding and commercialization. If
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found to be safe and useful to identify older adults at risk for falls, this app could
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provide a means for health systems to capture missed revenue related to fall risk
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assessments and reduce downstream costs related to complex fall-related injuries.
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We will announce the participating projects a few weeks before the course starts.
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</p>
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<div class="action"><a href="https://bit.ly/3p4c7in" class="ui mini teal button">Team Card</a>
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</div>
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<br />
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<br />
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<h2>VascTrac 2.0: Peripheral Artery Disease Tracking</h2>
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<p>Led by Dr. Oliver Aalami</p>
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<!--
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<h2>TITLE</h2>
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<p>SUBTITLE</p>
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<p>
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Peripheral Vascular Disease (PAD) affects nearly 10M people in the United States and is
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the manifestation of atherosclerotic disease in the peripheral arteries and manifests itself
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in the form of “claudication” in the earliest stages of development- this is calf muscle
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pain/cramping with activity. We treat this condition with exercise therapy, medications and
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if severe will place stents. The outcome of stenting procedures is quite poor and we do not
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have a way to monitor patients individually to see who is developing scarring/recurrence
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faster than others. The aim of this study is to determine if passive activity monitoring
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can be used to predict early treatment failure.
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DESCRIPTION
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</p>
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<div class="action"><a href="https://bit.ly/31Abi7U" class="ui mini teal button">Team Card</a>
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<div class="action">
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<a href="LINK" class="ui mini teal button disabled">Team Card</a>
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</div>
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</div> -->
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-->
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</div>
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<div id="schedule" class="section">
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<div class="ui secondary pointing menu">
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<a href="#overview" class="item"><i class="home icon"></i>Overview</a>
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<a href="#projects" class="item"><i class="phone icon"></i>Projects</a>
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<a href="#schedule" class="active item"><i class="calendar icon"></i>Schedule</a>
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<a href="#studentinformation" class="item"><i class="doc icon"></i>Readings</a>
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<a href="#studentinformation" class="item"><i class="doc icon"></i>Student Info</a>
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</div>
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<h2>Schedule</h2>
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<br />
@@ -345,7 +297,7 @@ <h3 class="pulled left">Week 6 (2/14 - 2/16)</h3>
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</div>
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<div class="class description">
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<ul>
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<li>Help with problems teams are having</li>
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<li>Support teams with current development challenges.</li>
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<li>Tips &amp; Tricks for SwiftUI</li>
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</ul>
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</div>
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<div id="studentinformation" class="section">
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<div class="ui secondary pointing menu">
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<a href="#overview" class="item"><i class="home icon"></i>Overview</a>
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<a href="#overview" class="item"><i class="phone icon"></i>Projects</a>
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<a href="#schedule" class="active item"><i class="calendar icon"></i>Schedule</a>
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<a href="#studentinformation" class="item"><i class="doc icon"></i>Readings</a>
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</div>
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</div>
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<div id="studentinformation" class="section">
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<div class="ui secondary pointing menu">
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<a href="#overview" class="item"><i class="home icon"></i>Overview</a>
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<a href="#projects" class="item"><i class="phone icon"></i>Projects</a>
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<a href="#schedule" class="item"><i class="calendar icon"></i>Schedule</a>
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<a href="#studentinformation" class="active item"><i class="doc icon"></i>Readings</a>
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<a href="#studentinformation" class="active item"><i class="doc icon"></i>Student Info</a>
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</div>
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<h2>Readings</h2>
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<div class="ui divided list">

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