IEEE RE-Think Health Podcast

Getting a Hold of Chronic Conditions for Patients in Developing Regions

Patients in developing regions are most often the most underserved populations whereby chronic conditions are left unchecked as a result of inaccessibility to health care, facilities, or tools. IEEE Student Member, Pramuka Sooriyapatbandige, shares how his research team is looking to mitigate the issue of accessibility with a simple, yet multi-purpose RPM tool that can be utilized, accessible, and feasible for patients in developing regions.

Breathing New Opportunity: Keeping Asthma Patients Connected

Breathing is essential; how we breathe is just as important. RPM tools offer an amplified opportunity for visibility for those with chronic conditions such as asthma. A majority of asthma sufferers are children, which means monitoring and getting real-time understanding of their condition is that much harder. 
JC Ren, Assistant President at CMI Health, shares how the latest RPM tools offer both real-time monitoring to parents and caregivers while making it convenient for children to utilize to help better monitor their condition.

Wearing it: Intelligent Physical Rehabilitation

How can we take physical therapy (PT) to the next level using real-world data from tools and devices without having to leave the home?  Josh Rabinowitz, Co-Founder & CEO at Articulate Labs, joins our host, Maria Palombini, in a discussion on a new class of RPM devices that are enabling a viable option for remote patients who do not have access to a facility, but can still rehabilitate with more data and insights to improve their outcomes with or without a certified PT therapist at their side.

Advanced AI & Sensors: Reaching the Hardest to Reach Patients at Home

Healthcare is coming home. Sumit Nagpal, CEO & Founder of Cherish Health, explains how using advanced AI and sensors can efficiently and effectively support the wellness needs of the rapidly growing elder generation at home with dignity and integrity.

Can the Health System Benefit from AI as it Stands Today?

With the focus on accuracy, ethics, and bias in AI algorithms, we cannot lose sight of the need for more validated data. With hard-hitting insights and references, is the right question being asked: is AI good for medicine or is medicine right for AI?
Dr. Dimitrios Kalogeropoulos, Senior Independent Consultant for organizations like the World Health Organization (WHO) and the United Nations International Children's Emergency Fund (UNICEF), looks to the data for answers with our host, Maria Palombini.

Mind Your Data: The First Rule of Predictive Analytics in Clinical Research

The value of prediction can only be as good as the data it used to make its assumptions. With the growing use of AI, the focus has been more on the accuracy and validation of algorithms, however, we need to get back to the basics— the data. The better the data you put in, the better the insights that will come out. 
Aaron Mann, Senior Vice President of Data Science at the Clinical Research Data Sharing Alliance (CRDSA), and our host, Maria Palombini, discuss how open data sharing is paving the way to access more quality, real-world and inclusive data to enable predictivity analytics to be more accurate, resourceful, and utilitarian in the world of clinical research.

Getting Real about Healthcare Data and the Patient’s Journey

The time has come to unleash the value of unstructured data. Artificial Intelligence (AI) and Machine Learning (ML) afford those opportunities across the healthcare domain, however, AI and ML must be demystified and we need to embrace the value of Natural Language Processing (NLP) in daily operating systems. 
Alexandra Ehrlich, Principal Health Innovation Scientist at Oracle, and our host, Maria Palombini, discuss how AI and ML hold great opportunities for healthcare, but we can't lose sight of the challenge with bias permeating throughout accessible healthcare data.

Reducing the Healthcare Gap with Explainable AI

Fairness is not a math problem. Healthcare disparities are a global challenge requiring more than just physical care. Identifying and leveraging social determinants, when mined correctly, are untapped keys to closing the healthcare gap.  Join Dave DeCaprio, Chief Technology Officer & Co-Founder at ClosedLoop.ai, and our host, Maria Palombini, as they discuss how off-the-shelf AI presents a new perspective on transparency, reduction of bias, and a path toward health stakeholders' trust with explainability in its applications. 

AI: The New Pipeline for Targeted Drug Discovery

RNA splicing is at the forefront of providing insights into diseases that are linked back to RNA errors. Dr. Maria Luisa Pineda, CEO & Co-Founder at Envisagenics, explains how AI, HPC (high-performance computing), and genetic data can provide the insights needed for targeted drug discovery in oncology and other genetic conditions faster and more accurately than ever. 

Riding the Third Wave of AI for Precision Oncology

Hear about the recently released case study on the application of the “third wave of AI” that offers real-world data and practice on realizing the potential for precision oncology.