Fung Institute for Engineering Leadership

Industry: Healthcare

Healthcare

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

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Team: 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

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Team: 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 »

Creating a Stable Supply of Rare Elements for Medical and Industrial Applications Using a Molten Salt Nuclear Reactor

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Team: Stu Burgess (ME), Mubasheer Chombakkadath (NE), Yong Mok Kim (NE), Juhi Nandwani (NE), Richy Rocha (NE), Tatiana Siaraferas (NE), Madeleine Waller (NE) Advisor: Massimiliano Fratoni (NE) Nuclear fission creates many rare elements that are not normally found in nature and are discarded in traditional reactor fuels. These rare elements are useful for many industrial… Read More »

Evaluation of Novel, Less-Invasive Hip Implants

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Team: Wenqi Fan (MSE), Moriah Garcia (BIOE), Bianca Riello (BIOE), Jeremy Wan (BIOE) Advisor: Grace O’Connell (ME) Over 370,000 total hip arthroplasties are performed annually with 70,000 revision surgeries being performed each year. Surgeons at UCSF VA Medical Center Department of Orthopedic Surgery who perform these procedures daily believe that it is worth investigating the… Read More »

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

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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

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Team: 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

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GaitTrac, 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 »

Assistive Exoskeleton for Stroke Assessment and Recovery

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Stroke is the fifth leading cause of death in US, killing over a hundred thousand people every year. The team builta device to measure the upper limb recovery process of stroke survivors and provided a way to assess their mobility. Team: Ming Chien Chiang, Alex Michon, Gongo Yang Advisor: Ruzena Bajcsy Mentors: Robert Matthew, Christine… Read More »

Precision Healthcare Analytics

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The team used machine learning to discover correlations between various lifestyle behaviors and two chronic illness: depression and cognitive dysfunction. They found a way to identify these diseases early on, and to provide recommendations for lifestyle changes in order to lessen their debilitating effects. Team: Herbreteau Eléonore, Papanikolaou Vasileios, Ramesh Kapilesh, Shi Yiyu, Vyas Arpit… Read More »

Neurodetect: On Chip-Biosignal Computation for Health Signal Monitoring

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The team designed an implantable microchip that can detect epilepsy seizures. Combined with electrical stimulation and/or drug delivery, this microchip can stop the onset of seizures before the symptoms appear. Team: Chen Fu, Sherwin Lau, Mary Lee Lawrence, Paul Meyer-Rachner, Jingbo Wu Advisor: Rikky Muller, EECS Department, U.C. Berkeley EPILEPSY IS A DEBILITATING NEUROLOGICAL DISORDER… Read More »