The Dawn on Smart Healthcare
Date : 10/26/2019
Location: Biltmore Hotel and Suites
Address: 2151 Laurelwood Rd., Santa Clara, CA
|13:10-14:00||Keynote: Perfect Storm or Aurora before Dawn – the Trend of Smart Healthcare
Patrick Yang, Ph.D.,
Former EVP of Technical Operations at Juno, Roche
|14:00-14:40||Topic: Emerging Uses of Artificial Intelligence-Based Technologies in Radiology Departments
Alan Huang, Ph.D.,
Business Manager of Philips HealthTech
|14:40-15:20||Topic: AI Application in Bio-Medical and Healthcare Industry
President and CEO of AIxMed
Topic: Bionics for Better Quality of Life
Homayoon Kazerooni, Ph.D., Professor of University of California at Berkeley; Founder
|16:20-17:00||Topic: The Last Mile between Wearables and Healthcare
Ming-Tse (MT) Tsai, M.D., Medical Information Officer of KURA Care
|17:00-17:40||Topic: Real-Time Mobile Vision – the Next Frontier for Telemedicine?
Kai Yang, Ph.D., Director of AI Transformation in Landing AI
Keynote: Perfect Storm or Aurora before Dawn — the Trend of Smart Healthcare
Patrick Y. Yang, Ph.D.
Former EVP of Technical Operations at Juno, Roche and Genentech
The technologies of and around healthcare have been advancing rapidly over the past decades. In drug development, the understanding of biology, the advent of many innovative tools for analytical, development, automation, controls, manufacturing, and collaboration, coupled with the amazing super computing power, internet connectivity, smart phones, and new materials have contributed to the creation of many new modalities that weren’t possible a few years ago. The industry is finally moving from treating the general, typical patient population to personalized, high precision medicines. We are moving into a world where healthcare is no longer an art, but a science. Healthcare systems no longer run with open loops. The loops are closed with smart sensors and intelligent controllers. Indeed, the healthcare systems, now armed with digitization and automation, are becoming smarter each day. Are we seeing the aurora before dawn? Or is this the eve of a “perfect storm? “
Dr. Pat Yang has been an independent consultant in the biopharmaceutical industry since his retirement from Genentech/Roche in 2013. Most recently, he re-entered the industry to work as executive vice president and special advisor for Juno Therapeutics in 2017-2019.
Dr. Yang was Roche’s Global Head of Technical Operations from 2010 until his retirement in 2013. In this role, he was responsible for Roche’s pharmaceutical process development, engineering, quality, technical regulatory, supply chain and 21 manufacturing plants with approximately 15,000 employees around the world. He was previously executive vice president, Product Operations and member of the Executive Committee of Genentech, Inc. Dr. Yang joined Genentech in 2003 as vice president, Manufacturing and Engineering, and was promoted to senior vice president, Product Operations, in December 2004, then to executive vice president in January 2006.
Prior to joining Genentech, Dr. Yang served for 11 years at Merck & Company in various leadership positions including vice president of Asia Pacific Operations and vice president of Global Supply Chain Management. Prior to joining Merck in 1992, Yang spent 12 years at General Electric, serving in several research, engineering, technology, and manufacturing leadership roles with increasing scope of responsibilities. Before that, Dr. Yang spent five years in aerospace control systems research and development with Life Systems, Inc.
Topic: Emerging Uses of Artificial Intelligence-based technologies in Radiology Departments
Alan Huang, Ph.D.
Business Manager, Philips HealthTech
Artificial intelligence-based technology has gained significant traction in recent years, and the healthcare market has seen the launch of several AI-based products over the past several years to aid in diagnosis or to optimize departmental efficiencies. Many AI-based products in the space of radiology are focused on pointing out abnormalities in images, accelerating the processing time to merge images together, or to optimize how efficiently a department is operating. In this talk, I will review where artificial intelligence is currently making an impact in medicine, specifically in radiology.
Alan currently manages the MRI business of Philips Healthcare in the Chesapeake region of the United States where he’s responsible for selling and promoting several AI-based products currently used in radiology departments to enhance clinical and operational efficiency. Prior to this role, Alan served as the Global Product Manager in the Neurology business innovation unit (BIU) in Philips, where he managed the Computational Neurology product line and was based in Eugene, OR where he managed a product line and introduced an AI-based product for neurology. Though native to the US, he worked and lived in the Netherlands at the global headquarters of the Philips MRI business where he has also served as an MRI Physicist in the R&D department of the Philips MRI BIU where he patented and developed multiple clinical techniques and as a Global Product Marketing Manager responsible for downstream marketing. Alan completed his PhD in Biomedical Engineering at Johns Hopkins University and has dual degrees in Electrical Engineering and Neurobiology from the University of Texas at Austin.
TOPIC : AI APPlication in bio-MEdical and healthcare industry
President and CEO of AIxMed
AI application in bio-medical and healthcare industry Experienced several ups and downs along the way since 50’s, artificial intelligence has finally come a long way to today’s widely acceptance. Inspired biologically, we take a brief overview what’s modern day AI, machine learning, deep learning, and artificial neural network. Today, the need of computation and AI grows stronger, and the regulations for digital health are also becoming more friendly for new innovations. This is an exciting moment as we are right at the beginning of new digital revolution of healthcare. Will share some recent success examples in adopting AI in medical imaging, diagnostics, risk analysis, drug discovery, wearables, … AI isn’t to replace doctors, but it can certainly make them better.
With 25+ years’ experience in software development, Mr. Samuel Chen is the president and CEO for AIxMed, a Silicon Valley startup company founded June 2018 focusing on applying machine learning in medicine. Currently AIxMed is collaborating with hospitals, university, research institute, and medical device companies.
Mr. Chen started his early software career as a senior engineer at National Semiconductor, and SunSoft Java development team. In 1997, Chen was recruited to Trend Micro, a global Internet security powerhouse started from Taiwan. As the VP of Software Development, Mr. Chen led a global engineering team consisted of 500+ staffs distributed among 6 countries. During his 10-year tenure, Mr. Chen established Trend Micro’s first software development lifecycle and process, and the company also grew into Taiwan’s # 1 software company and ranked among top 3 information security companies in the world.
With the interest of integrating software capability into Taiwan’s electronic hardware industry, Chen joined ASUSTek in 2008 and served as VP/Chief Engineering Staff to CEO, in charge of ASUSTek corporate software strategy. In 2011, Chen was invited by Compal vice chairman to join Compal Electronics forming a 500-member corporate software organization in Compal. Chen was in charge of software development for Android and IoT products. In 2016, Chen turned his interest into AI and machine learning, and became the founding VP of Compal AI Lab. At Compal, Chen later led a small team to win a silver medal in Kaggle Data Science Bowl 2018.
Chen learned computer programming as a hobby since high school, and he won 2 national championships in Software Design Contest administrated by Ministry of Education, Taiwan, in 1983 (high school) and 1986 (Division 1, college and above.)
Chen graduated from National Chiao-Tung University with a bachelor’s degree in computer engineering, and holds a master’s degree in computer science from University of Southern California.
Topic: Bionics for Better Quality of Life
H. Kazerooni, Ph.D.
Professor of University of California at Berkeley; Founder and CEO of suitX
The quest to develop affordable bionics systems suggests less hardware and more emphasis on the software and control. This talk will describe two accessible exoskeletons recently developed in Berkeley and globally commercialized by SuitX.
Phoenix is a modular exoskeleton for personal and at-home use for those seeking medical rehabilitation to allow mobility. Phoenix’s modular system allows the user to independently put on and remove each piece as desired. It weighs only 12.25kg. To date, a top speed of 0.7 miles per hour has been recorded by a Phoenix user. On a single charge, Phoenix can walk for 4 hours continuously or 8 hours intermittently. Phoenix is adjustable for different-sized users and can be easily configured to fit individuals’ specific needs.
Max (Modular Agile eXoskeleton) is an industrial wearable robotic system that minimizes workers’ spinal forces, knee joint forces and shoulder joint forces during the repeating maneuvers on the job. These devices will be used in factories, manufacturing facilities, distribution centers, warehouses, and delivery services. They intend to decrease the severity of work related injuries, while enhancing worker safety and productivity.
Dr. Kazerooni is a professor at the University of California, Berkeley, where he also serves as the director of the Berkeley Robotics and Human Engineering Labo-ratory. With more than 30 years of mechanical engineering experience and a doctorate degree from MIT, he is a leading expert in robotics, control sciences, and exoskeleton systems. In addition to his teaching work and research experience in Berkeley, Dr. Kazerooni is also a serial entrepreneur. In 2005, he founded Ekso Bionics which went on to become a publicly-owned company in 2014 and now supplies medical exoskeleton to a great number of rehabilitation centers worldwide. He is also the founder and chairperson of suitX, a VC, industry, and government funded company that provides accessible, affordable exoskeletons for the industrial,
medical, and military markets.
Topic: The Last Mile Between Wearables and Healthcare
MT Tsai, MD, MSc
Medical Information Officer, KURA care
Wearable devices is perfect for healthcare provider to collect health information outside of hospital. This trend is happening, but not as fast we we thought. What’s going on? When we push medical frontier from hospital to home, what’s the obstacles to slow us down? Ai no doubt plays a key role in this answer, but it has to be more than layers of neuron network. We need empathetic thoughts when designing Medical Ai that can really make behavior change. In this talk, we will share the thinking process and the real case study for heart failure management.
MT Tsai, an emergency physician, a data scientist, and a medical director. He is also an active thinker and curious explorer. He acquired his advanced degrees in Taiwan and Seattle. Now he starts his next journey as Vice President of Medical Information Officer in a private startup company, KURA Care LLC, in San Diego. His vision is leveraging technology to meet the quadruple aims in Medicine.
Topic: Real-Time Mobile Vision – the Next Frontier for Telemedicine?
Kai Yang, Ph.D.
Director of AI Transformation in Landing AI
The computation power and the capability of acquiring high quality images of today’s smartphone really enables many medical applications to be performed solely on the edge side. This is not only going to change the paradigm of telemedicine, but also opens a lot of new opportunities. In this talk, we will share some of the first hand experience and discuss the overall trend of this domain.
Kai Yang is from Taiwan and got his Ph.D. from UC Santa Barbara. He is now the Director of AI Transformation in Landing AI where he is responsible for all the business engagements including several cases in medical domain. Before joining Landing AI, Kai is the co-founder of an AI company focusing on bio-medical problems (http://cfu.ai) using mobile vision. He has more than 15 years of experience in software development and management on electronic design automation (EDA) domain.