숙명여자대학교 비교과통합관리시스템

Invited Seminar

Department of Mechanical Systems Engineering

Precision Health Toilet for Cancer Screening

날짜 2020년12월15일 화요일

시각 11시 -12시

장소 Zoom (Meeting ID: 857 2684 1207)

신청 Snoway 비교과 프로그램 (마일리지 1000점)

대상 공개강의 (타과생 환영합니다)

연사 Dr. Brian Lee

약력 Present Postdoc in Radiology, Stanford University

2019 PhD in Mechanical Engineering, Stanford University

2012 MS in Mechanical Engineering, Stanford University

2010 BS in Mechanical Engineering, KAIST

Technologies for the longitudinal monitoring of a person’s health are poorly integrated with clinical workflows, and have rarely produced actionable biometric data for healthcare providers. Here, we describe easily deployable hardware and software for the long-term analysis of a user’s excreta through data collection and models of human health. The ‘smart’ toilet, which is self-contained and operates autonomously by leveraging pressure and motion sensors, analyses the user’s urine using a standard-of-care colorimetric assay that traces red–green–blue values from images of urinalysis strips, calculates the flow rate and volume of urine using computer vision as a uroflowmeter, and classifies stool according to the Bristol stool form scale using deep learning, with performance that is comparable to the performance of trained medical personnel. Each user of the toilet is identified through their fingerprint and the distinctive features of their anoderm, and the data are securely stored and analysed in an encrypted cloud server. The toilet may find uses in the screening, diagnosis and longitudinal monitoring of specific patient populations.

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