Main Day Two

8:00 AM - 9:00 AM REGISTRATION AND MORNING JUMPSTART

9:00 AM - 9:15 AM CHAIR’S RECAP OF DAY ONE




9:15 AM - 10:00 AM KEYNOTE: UTILIZE MACHINE LEARNING APPROACH, ROBOTICS SURGERY AND PHOTOACOUSTIC DATA TO REVOLUTIONIZE CARE

  • Explore the use of machine learning to improve Photoacoustic-Guided Surgery
  • Understand how to identify point source locations in photoacoustic data and use telerobotic surgery systems
  • Use convolutional neural networks to eliminate reflection artifacts in experimental photoacoustic images and integrate imaging modalities into robotic surgery platforms such as the Da Vinci

10:00 AM - 10:45 AM AUGMENTING DEEP LEARNING WITH DEEP DOMAIN KNOWLEDGE FOR DETECTION OF ABNORMAL CARDIAC CONDITIONS

  • Evaluate different use cases for machine learning and deep learning in cardiology
  • Implement deep learning tools for classification of heart sound through convolutional neural networks
  • Combine feature-based and convolutional neural network-based classifiers for the classification of abnormal/normal heart sound

10:45 AM - 11:15 AM MORNING BREAK AND DEMO DRIVE - PRIZE DRAW

11:15 AM - NaN:NaN AM USE CASES OF MACHINE LEARNING AND UNSTRUCTURED SOCIAL MEDIA DATA FOR HEALTH SURVEILLANCE AND PREVENTIVE CARE

  • Examine how machine learning techniques could be used to address important public health questions
  • Use natural language processing to measure sentiment calculation on social media data
  • Hear practical tips on building of classifiers using dirty, unstructured, and freely available data from social media

12:00 PM - 1:00 PM NETWORKING LUNCHEON

1:00 PM - 1:45 PM CONNECTED HEALTH IN PREVENTIVE & PRECISION MEDICINE FOR CHRONIC DISEASES

  • Understand how connected health is changing the future medicine to be more predictive, personalized, preventive and participatory
  • Tap into the true potential in preventing the onset of chronic diseases through connected Health
  • Learn how the new paradigm of developing tech and data driven preventive and treatment strategies can indivualize risk assessment, prevention, early diagnosis and effective treatment of disease

1:45 PM - 3:30 PM PANEL: RE-VISIT REGULATORY , SECURITY AND PRIVACY ISSUES AND THE IMPACT OF NEW GUIDELINES IN NAVIGATING HIPAA AND PATIENT PRIVACY IN THE AGE OF CONNECTED DEVICES

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  • Discuss the intersection of HIPAA/HITECH and the increasing involvement of the FTC in enforcing privacy and security protection
  • Revisit latest FDA guidelines and FTC’s exercise of investigation and enforcement
  • Identify ethical issues going beyond HIPAA/HITECH and other regulations

2:45 PM - 3:15 PM AFTERNOON RECHARGE - NETWORK OVER REFRESHMENTS

3:15 PM - 4:00 PM USE ELECTRONIC HEALTH RECORDS (EHRs) BIG DATA & MACHINE LEARNING TO IMPROVE PATIENT CARE IN THE INTENSIVE CARE UNIT (ICU)

· Analyze how EHRs, big data & machine learning could be used to improve care and save lives in ICU
· Explore how to enable care coordination, track processes and outcomes, improve decision making, and foster learning through data analysis
· Leverage troves of data to define best practice and how we must keep the patient perspective and health at the center of everything

4:00 PM - 4:05 PM CHAIR’S CLOSING REMARKS