BIDS-BCHSI Research Xchange Forum — Digital Health Platforms

Innovate For Health

May 4, 2021
12:30pm to 1:30pm
Virtual Presentation


BIDS-BCHSI Research Xchange Forum — Digital Health Platforms
Date: Tuesday, May 4, 2021 
Time: 12:30-1:30 PM Pacific Time
Location: Virtual Participation
Register to recieve the virtual access link for this event.

12:30-12:50 PM — A Digital Health Platform for Corneal Opacities and Cataracts Management 
Saeed Seyyedi
2020-2022 I4H Fellow 
Abstract: Cataracts and corneal opacities are eye disorders that affect the vision and are two most common causes of blindness world-wide, ranking as first and fourth. Early detection of these disorders can facilitate the treatment and minimize the need for complex surgeries or transplants. However, the detection of cataracts and corneal opacities can be delayed due to the interruptions of eye care visits such as those caused by COVID-19 pandemic, limited access to healthcare and eye specialists for people living in remote and resource-limited areas, rising healthcare costs, as well as delayed diagnosis or referral of patients. In this work, I am developing a novel screening and diagnostic tool that will allow the objective, remote, cost-effective and automated detection of cataracts and corneal opacities. This tool will be based on machine learning and computer vision algorithms for automated detection of cataracts and corneal opacities. Additionally, it will include automatic classification of these disorders based on the degree of severity. Furthermore, I will design a digital health platform to enable the use of these screening and diagnostic models on the smartphones or other digital devices.  

12:50-01:10 PM Clinically Meaningful Integration of Wearables Data for Disease Progression Monitoring in Patients Newly Diagnosed with Multiple Sclerosis 
Mithra Vankipuram
2020-2022 I4H Fellow 
Abstract:  For patients who are newly diagnosed with multiple sclerosis (MS), this experience is filled with uncertainty. Questions patient’s face include: How bad is my version of MS? Will I just have flares (relapsing MS), or will I keep getting worse until I’m a burden (progressive)? How much worse will I get and how fast? In addition to uncertainty when newly diagnosed, there is uncertainty in the care experience for clinicians as well. Patients visit a specialist between once in two years to twice a year, depending on the severity of their diagnosis. While clinicians get a snapshot of what is going on with the patient at the time of the visit, there is little visibility into the patient’s life other than patient reports. The use of wearables data provides an opportunity for newly diagnosed patients to understand how the small “steps” they take every day with respect to nutrition, exercise, stress management (e.g., meditation), medication adherence, or sleep affect their outcome. In addition, this data may be used to power a data product that informs the clinician if the patient’s disease state has worsened and how that compares to a clinical metrics captured on per patient or cohort level. At UCSF, the largest unmet need is data visualization research to understand how best to display wearables data at the point of care that is meaningful to clinicians and patients in their interaction. Project Curie will take an iterative product development approach, starting with building out a minimally viable product for integrating wearables-based activity data into clinical practice. This includes prototypes of patient and clinician experience powered by synthetic data generated from statistical models for daily step count data derived from real MS patients.

01:10-01:30 PM — Q&A

The BIDS-BCHSI Research Xchange Forum is an open discussion platform for the interdisciplinary exchange of ideas and research projects at the intersection of healthcare and data science. Participants are invited to engage in a variety of activities, including presentations of work-in-progress, discussions and critiques of recent papers and AI methods in healthcare, introductions to new tools and methods, and opportunities to foster new collaborations. Invited speakers include leading voices in AI and Healthcare, and active conversations invite participants to share fresh perspectives. Clinicians and physicians with an interest in data science methods and tools, as well as data science faculty and researchers with applications or interests in the healthcare and health sciences, are welcome and encouraged to participate. Regular participants will also include the I4H Fellows, as well as post-docs, staff, and faculty from UC Berkeley, UCSF, and Johnson & Johnson. The immediate goals of this Forum are to share our current research projects with a wider audience, and to increase engagement and improve communication among the three host organizations. Meetings are now held virtually on the first Tuesday of each month at 12:30-1:30 PM Pacific Time, and interested members of the UC Berkeley, UCSF, and Johnson & Johnson communities are invited to sign up for this group's mailing list to receive information about upcoming webinars. Please contact for more information.

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Saeed Seyyedi

BIDS Alum – Data Science Health Innovation Fellow

Saeed Seyyedi joined BIDS and BCHSI/UCSF in 2020 as part of the second cohort of Data Science Health Innovation Fellows in the Innovate For Health initiative. He earned a PhD in computer science from Technical University of Munich where he was a recipient of an E.U. Marie Curie research fellowship. He completed a postdoc in artificial intelligence and imaging at Stanford University where he developed several applications of machine learning and computer vision to detect and characterize cancer using images and other types of records. Before joining this program, he has worked and collaborated with a variety of interdisciplinary research and development groups including AstraZeneca, BC Cancer Research Center, GE GRC and Johns Hopkins University. He is passionate about building large-scale, multi-modality and advanced machine learning techniques to solve some of the real-world problems.

Mithra Vankipuram

BIDS Alum – Data Science Health Innovation Fellow

Dr. Mithra Vankipuram, formerly a Data Science Health Innovation Fellow in the Innovate For Health program, is a multidisciplinary research engineer and product developer. Beyond supporting research operations and engineering efforts, Mithra specializes in agile UX research to generate actionable, data-driven insights for all stages of product development. She extends her contributions by offering a breadth of knowledge in patent portfolio development, team collaboration, and process improvement. She believes how we get work done is as important as the work itself. Mithra is also an organizational psychology enthusiast, comedic improviser, and an advocate for diversity and inclusion. She leverages her collective experience to deliver results in pursuit of her passion - developing equitable products and solutions that positively impact people, their communities, and our planet.