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A Novel Implant for Regulating Excessive Eye Pressure in Glaucoma Patients

Project Type: Industry & Faculty Led

Industry & Faculty Led

[UCSF] A Novel Implant for Regulating Excessive Eye Pressure in Glaucoma Patients

November 15, 2020 by

A Novel Implant for Regulating Excessive Eye Pressure in Glaucoma PatientsTeam: Charit Mehta (ME), Aishwarya Pamula (BIOE), Sheila Sharifzad (BIOE) Advisors: Ying Han (UCSF), Syed Hossainy (BIOE), Dorian Liepmann (ME) Glaucoma is the second highest cause of blindness worldwide. Affecting over 65 million people, glaucoma is a disease that causes excessive fluid buildup within the eye. Over time, increased pressure inside the eye damages the… Read More »

[Ocuelar] Smart eye-drop bottle to monitor medication habits of glaucoma patients

November 15, 2020 by

Smart eye-drop bottle to monitor medication habits of glaucoma patientsTeam: Kian Talaei (IEOR), Ryan Zolyomi (ME), Fang-Jhen Su (BIOE), Tianyi Xing (IEOR) Advisors: Scott Lee (UC Berkeley School of Public Health), Taiki Nishihara (Ocuelar), Tarek Zohdi (ME) More than 75 million people worldwide suffer from glaucoma--the leading cause of irreversible blindness. The majority of these patients lack a proper and consistent medication routine, a… Read More »

[Zendar] Developing an Affordable Alternative for Autonomous Vehicle Localization using High-Definition Radar Images

November 15, 2020 by

Developing an Affordable Alternative for Autonomous Vehicle Localization using High-Definition Radar ImagesTeam: David Scanlan (IEOR), Pierre-Louis Blossier (ME), Johan Gerfaux (IEOR), Bowen Wang (ME) Advisors: Jimmy Wang (Zendar), Lou Ggraniou (Zendar), Gabriel Gomes (ME) Localization of autonomous vehicles on the road currently relies on LiDAR (using lasers) and camera sensors which simultaneously map the environment around the car. Using high-definition radar images, we propose an algorithm… Read More »

[xPing / Ripple] Historical Analysis for Live Anomaly Detection on Ripple’s Blockchain

November 13, 2020 by

Historical Analysis for Live Anomaly Detection on Ripple's BlockchainTeam: Ravi Bhandia (IEOR), Charles Garnot (CEE), Yijun Liang (IEOR), Fuhua Liu (IEOR), Francesco Piccoli (IEOR), Salome Schwarz (CEE), Yuyang Zhao (IEOR) Advisors: Doug Purdy (xPring / Ripple), Paul Grigas (IEOR) Since 2017, the beginning of speculation over cryptocurrencies, price volatility has become a barrier for daily use of cryptocurrencies, including Ripple’s XRP. In order… Read More »

[UCSF] Information Extraction from Unstructured Clinical Notes Using Natural Language Processing (NLP)

November 13, 2020 by

Information Extraction from Unstructured Clinical Notes Using Natural Language Processing (NLP)Discovering Inaccurate Extracted Information from Unstructured Clinical Notes Using Natural Language Processing Team: Lengning Wei (BIOE), Marcel Schaack (BIOE), Chloe Kim (BIOE) Advisors: Gundolf Schenk (UCSF), Gabriel Gomes (ME) Despite the development of medical records systems, there is no precise technology for large-scale information extraction, public health research and precision medicine. We designed a reliable… Read More »

[Evolution Devices] Personalizing Neurological Patient’s Gait Therapy Using Machine-Learning-Based Electrical Stimulation

November 13, 2020 by

Personalizing Neurological Patient’s Gait Therapy Using Machine-Learning-Based Electrical StimulationTeam: George Durrant (BIOE), Elie Celnikier (BIOE), Rongbo Zhou (ME) Advisors: Pierre Karashchuk (Evolution Devices), Aashyk Mohaiteen (Evolution Devices), Gabriel Gomes (ME) Neurological damage such as stroke, multiple sclerosis, and spinal cord injury cause walking impairments. The EvoCode team is improving the EvoWalk, a medical device developed by Evolution Devices, which corrects abnormal gait patterns… Read More »

[Evolution Devices] Wearable Motion Tracking for Clinical Gait Analysis

November 13, 2020 by

Wearable Motion Tracking for Clinical Gait AnalysisGaitTrac, providing wireless, real-time gait analysis for clinical gait diagnosis through seven custom motion sensors Team: Ross Schneider (ME), Anisha Basu (BIOE), Hayley Boyd (BIOE) Advisors: Juan Rodriguez (Evolution Devices), Andrew Ekelem (Evolution Devices), Gabriel Gomes (ME) A third of people over the age of 60 suffer from impaired gait, which leads to loss of… Read More »

[Arris Composites] Optimizing the Design and Manufacturing of Aligned Carbon Fiber

December 9, 2019 by

From Porsche to your pocket: bringing carbon fiber to the masses Team: Paul Ceralde (MSE), Arnaud Dyen (ME), Harsh Raj Chauhan (ME), Juan Pablo Viaux (ME), Michelle Satkin (IEOR), Somsakul Sombon (IEOR) Advisors: Scott Perkins (Arris Composites), Matthew Sherburne (MSE) In 1855, a process for inexpensively manufacturing aluminum was developed, and the price dropped from… Read More »

[Asurion] Improving Customer Experience using Machine Learning

November 1, 2019 by

Six people posing with posters showing the app.Get your tech support questions answered faster! Our AI can understand the difficulty & complexity of your inquiries! Team: Felix Ren (IEOR), Jinlin He (IEOR), Zihang Pan (IEOR), Pierre-Louis Missler (CEE), Reehan Shah (IEOR) Advisor: Damien Thoulouse (Asurion), Lee Fleming (IEOR), Alex Beliaev (Fung) A major drawback in tech chat support is that it takes… Read More »

[Imperative Care] Exploring Post-Stroke Neural Recovery Via Exogenous Electromagnetic Field Therapy

November 1, 2019 by

Project display on a purple tableHeralding a new era of stroke treatment Team: Yu-Shuo Chen (BIOE), Paula Schultheiss (BIOE), Kylua Chen (BIOE), Matthew Kennedy (BIOE), Jesse Yang (BIOE) Advisor: Syed Hossainy (BIOE) Ischemic stroke, characterized by the restriction of blood flow to the brain due to mechanical blockage via blood clot, leads to significant mortality in both developed and emerging… Read More »
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