BrainX Talks

Dr. Nazha is an internationally known expert and a keynote speaker in the application of artificial intelligence and novel digital technologies such as blockchain, IoT, and others in healthcare, pharma, and life sciences. He is also an internationally recognized expert in treating patients with leukemia. His research focuses on the use of artificial intelligence, machine learning, and deep learning to translate genomic and complex healthcare data into useful clinical tools that can improve patient outcomes. He is currently and Executive Director of Early Clinical Development at Incyte. Prior to joining Incyte, Dr. Nazha was a Global Tech Business Development for Healthcare Solutions at Amazon Web Services. He was tasked in building innovative healthcare solutions using machine learning, AI, cloud computing and other digital services to accelerate the adaptation of digital technologies in healthcare. Prior to joining Amazon, Dr. Nazha was the Director of the Cleveland Clinic Center for Clinical Artificial Intelligence and an Associate Medical Director at Enterprise Analytics. He was also an Assistant Professor of Medicine at Lerner College of Medicine/Case Western Reserve University and an Associate Staff at the Department of Hematology and Medical Oncology at Taussig Cancer Institute, Cleveland Clinic.

In this episode of BrainX talks we talk to Edward "Ed" Marx. Ed serves as Chief Executive Officer of Divurgent. Divurgent is a solutions provider focused on what matters most to our client partners. Divurgent disrupts the typical value equation by using data-infused, flexible, and scalable solutions that demonstrate and quantify value for our partners. Edward is active on Boards, writing books and speaks globally. Marx is an influential, veteran IT leader with deep experience in healthcare. He was the former Chief Digital Officer (CDO) for Tech Mahindra Health & Life Sciences and former Chief Information Officer (CIO) for Cleveland Clinic. He was also the governor-appointed chairman of the Texas Health Services Authority for eight years. In recent years, two major national healthcare information technology organizations, the College of Healthcare Information Management Executives (CHIME) and the Healthcare Information Management Systems Society (HIMSS), named Marx the CIO of the year and listed him as one of the top 10 disruptive forces in healthcare. CIO and Computer World named Marx one of the “Top 100 Leaders,” and the Dallas Business Journal named him “Newcomer of the Year.” Marx has won the coveted “People’s Choice” HISsies Award for top healthcare CIO four years in a row, and Becker’s Healthcare named him one of the “Top 25 Most Influential Executives in Healthcare,” one of the “Top 26 Smartest Healthcare IT Professionals,” and one of the “17 Most Influential Leaders in Healthcare.” Under his leadership, Texas Health hospitals and Cleveland Clinic achieved the highest designation (Stage 7) of the HIMSS Electronic Medical Record Adoption Model (EMRAM) and won the coveted “Davies Award” twice for best use of technology to enable business and clinical outcomes. Edward is married to Simran and they have five children and four grandchildren. Simran holds a doctor of nursing practice (DNP). Both wellness fanatics, they love to exercise together and hike throughout the world. They co-wrote a book on marriage to be released in 2023. Edward is a 9+ year member of TeamUSA Triathlon and represents his country at championship events around the world.

Dr Janak Gunatilleke has more than 16 years’ experience in healthcare. He has a specialised skill set, with experience both working as a medical doctor and developing and implementing data-driven and technology-enabled improvements in healthcare. He co-founded the AI technology firm Conscient AI Labs. Janak was a member of the evaluation panel for the NHS AI in Health and Care Award and is a fellow of the Faculty of Clinical Informatics in the UK. He has an Executive MBA from the University of Cambridge and is completing his dissertation for a Master’s in Data Science,                                                          Technology and Innovation from the University of Edinburgh.More information on his thinking at https://www.unlockaiforhealth.com/

In this episode we are joined by Dr. Pallavi Tiwari, Associate Professor in Radiology, and the co-director of Imaging and Radiation Sciences in the Carbone Cancer Center at University of Wisconsin Madison. Her research interests lie in machine learning, data mining, and image analysis for personalized medicine solutions in oncology and neurological disorders. Over the last 15 years, her research has been focused on developing novel image analysis methods for diagnosis, prognosis, and evaluating treatment response for different types of cancers as well as neurological disorders. Her research has so far evolved into over 60 peer-reviewed publications, 50 peer-reviewed abstracts, and 12 patents (7 issued, 5 pending). Dr. Tiwari has been a recipient of several scientific awards, most notably being named as one of 100 women achievers by Government of India for making a positive impact in the field of Science and Innovation. In 2018, she was selected as one of Crain’s Business Cleveland Forty under 40. In 2020, she was awarded the J&J. Women in STEM (WiSTEM2D) scholar award in Technology. In 2021, she was awarded the Honorary Early Career Achievement Award through the Society for Imaging informatics in Medicine. Dr. Tiwari has received certification of commendation from the General Assembly of the State of Ohio and from Ohio Secretary of State for her work in brain tumors. Dr. Tiwari’s team has secured over $7.5M in grant funding for their research, through the National Cancer Institute, Department of Defense, and various foundation and state grants.

I speak with Dr.Jorge Salluh, Intensivist and Researcher, critical care dept D'or Institute for research and education and Professor, Postgrad program, Federal university, Rio de Janeiro, Brazil. Jorge wears many hats that cross the space of big data analytics, AI and ML, this includes being a Co-founder of Epimed, Board member of BRICNet (brazilian research in intensive care network) and LOGIC (Linking of Global Intensive Care). These organizations have done tremendous work in making open source ICU level data from Brazil and other parts of the world linked together on a common platform.  Dr.Salluh and indeed all of us are looking for collaborators who want to utilize these resources!  Please see links below: LOGIC - www.icubenchmarking.com [icubenchmarking.com] Bricnet - www.bricnet.org [bricnet.org] Brazilian ICUs registry- www.utisbrasileiras.com/en [utisbrasileiras.com] Epimed- https://www.epimedsolutions.com/en/ [epimedsolutions.com] https://www.linkedin.com/in/jsalluh/ [linkedin.com] Twitter: @jsalluh

Dr. Anthony Chang attended Johns Hopkins University for his B.A. in molecular biology prior to entering Georgetown University School of Medicine for his M.D. He then completed his pediatric residency at Children’s Hospital National Medical Center and his pediatric cardiology fellowship at the Children’s Hospital of Philadelphia. He is currently the Chief Intelligence and Innovation Officer (CIIO) and Medical Director of the Heart Failure Program at Children’s Hospital of Orange County.He is the founder and medical director of the Medical Intelligence and Innovation Institute (MI3) that is supported by the Sharon Disney Lund Foundation. The institute is dedicated to implement data science and artificial intelligence in medicine and is the first institute of its kind in a hospital. He is the founder and organizing chair of many Artificial Intelligence in Medicine (AI Med) meetings in the U.S. and abroad (Europe and Asia) that will focus on artificial intelligence in healthcare and medicine (www.ai-med.io). He is the founder of a healthcare AI consulting firm, Medical Intelligence 10 (MI10). He has started a group for clinicians with a special focus on data science and artificial intelligence as Medical Intelligence Society, or MIS. He is the dean of the nascent American Board of Artificial Intelligence in Medicine (ABAIM) that will have education and certification of artificial intelligence in clinical medicine and health care as its mission.

Omar Badawi, PharmD, MPH, FCCM is the Director of Medical Device Safety for the National Evaluation System for health Technology Coordinating Center (NESTcc) where his primary role is in the development of an active surveillance program for medical device safety. Prior to NESTcc, he led the research for developing product-related predictive algorithms and decision support tools for acute care telehealth systems at Philips Healthcare and was the Program Manager for the Philips eICU Research Institute which supports collaborative research between industry, academia and clinicians using de-identified clinical data representing over 6 million ICU patients. He is also an Adjunct Assistant Professor with the University of Maryland School of Pharmacy and Research Affiliate at the Massachusetts Institute of Technology. He earned a Master in Public Health degree with a focus in Epidemiology and Biostatistics from The Johns Hopkins Bloomberg School of Public Health and is also a Fellow of the American College of Critical Care Medicine.

Dr.Reddy is an Artificial Intelligence (AI) in Healthcare researcher based at the Deakin School of Medicine besides being the founder/chairman of Medi-AI, a globally focused AI company. He also functions as a certified health informatician and is a World Health Organisation recognised digital health expert. Further, he is a Fellow of the Australasian Institute of Digital Health and a certified health executive with the Australasian College of Health Service Management. He has a medical and healthcare management background and has completed machine learning/ health informatics training from various sources. He is currently engaged in research about the safety, quality and explainability of the application of AI in healthcare delivery in addition to developing AI models to treat and manage chronic diseases. Also, he has authored several articles and books about the use of AI in Medicine. Further, he has set up local and international forums to promote the use of AI in Healthcare in addition to sitting on various international committees focusing on AI in Healthcare.

In this episode, we are joined by Professor Karin Verspoor, Executive Dean of the School of Computing Technologies at RMIT University in Melbourne, Australia and a Fellow of the Australasian Institute of Digital Health. We discuss her inspirational journey in applying various AI techniques to healthcare including self-harm detection, chem tables classification, information extraction in chemical patents, hospital cost estimation,  medical report generation and a lot of recent work on COVID. She has advice for clinicians and computer scientists on how to develop strong partnerships and also shares her vision for the future of AI in Healthcare. About Prof. Verspoor: Prof. Verspoor’s research primarily focuses on the use of artificial intelligence methods to enable biological discovery and clinical decision support, through extraction of information from clinical texts and the biomedical literature and machine learning-based modeling. Prof. Verspoor held previous posts as Director of Health Technologies and Deputy Head of the School of Computing and Information Systems at the University of Melbourne, as the Scientific Director of Health and Life Sciences at NICTA Victoria Research Laboratory, at the University of Colorado School of Medicine, and at Los Alamos National Laboratory. Early in her career, she spent 5 years in start-ups during the US Tech bubble, where she helped design an early artificial intelligence system. More information: https://www.rmit.edu.au/contact/staff-contacts/academic-staff/v/verspoor-professor-karin

In this episode, we are joined by Dr. Suchi Saria as we discuss her journey starting as an engineer applying AI solutions to healthcare including development of state of the art prediction models, doing strategy and advocacy at the highest level of Government organizations to her recent very exciting startup called Bayesian Health. Suchi Saria is the John C. Malone Associate Professor of computer science at the Whiting School of Engineering and of statistics and health policy at the Bloomberg School of Public Health. She directs the Machine Learning and Healthcare Lab and is the founding research director of the Malone Center for Engineering in Healthcare. She was invited to join the National Academy of Engineering’s Frontiers of Engineering program in 2017 and, in 2018, to join the National Academy of Medicine’s program for Emerging Leaders in Health and Medicine. Saria came to Johns Hopkins in 2012. Prior to that, she received her Ph.D. from Stanford University working with Daphne Koller. Saria’s goal is to use sophisticated computer science and the deluge of data available in health care and other settings to individualize patient care and to save lives. Her pioneering work centers on enabling new classes of diagnostic and treatment planning tools for health care—tools that use statistical machine-learning techniques to tease out subtle information from “messy” observational datasets, and provide reliable inferences for individualizing care decisions. Saria’s work has received recognition including: best paper awards at machine learning, informatics, and medical venues; a Rambus Fellowship (2004-2010), an NSF Computing Innovation Fellowship (2011); selection by IEEE Intelligent Systems to Artificial Intelligence’s “10 to Watch” (2015); the DARPA Young Faculty Award (2016); and the Sloan Research Fellowship (2018). She has also been named as one of Popular Science magazine’s “Brilliant 10” (2016); one of MIT’s “35 Innovators Under 35” (2017); and a member of the World Economic Forum’s Young Global Leaders (2018).In 2017, Saria’s work was among four research contributions presented by France Córdova, Director of the National Science Foundation, to the U.S. House of Representatives” Commerce, Justice Science Appropriations Committee. More information about Dr. Saria can be found here: https://suchisaria.jhu.edu/