Description: Margaret Elizabeth Ross, M.D., Ph.D. is a Nathan Cummings professor in neurology and director of the Center for Neurogenetics at the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine in New York. To learn more, check out the Ross Lab website!  1:30 Introduction 4:00 An Intro to AI 10:15 What are Neural Tube Defects? 16:30 Publications from the Ross Lab 21:00 The Ross Lab's Use of AI 30:00 Clinical Applications of Genetic Research 31:00 Spina Bifida Outcomes 32:00 Health Equity in Genetics 36:40 What's Next? 42:00 What's the future of AI in Medicine? 43:40 Advice for your Past Self 45:00 Advice for Medical Student/Physicians 48:00 Final Words of Wisdom Intro Music - Windows96 - Caligula (song used with permission from artist). Host: Madeline Ahern Producer: Melanie Bussan Cover Art: Saurin Kantesaria Follow us on twitter @themamlpodcast Email us! contact@themamlpodcast.com Looking for industry sponsors!

Description:  Neal Khosla is the founder and CEO of Curai Health, a digital health startup making big waves in the primary care space. To learn more, please visit curaihealth.com.   1:00 Tell us about your path and how you came to the intersection of medicine and machine learning 13:15 - Most common patient demographic served 15:45 - Story of how Curai began. + history of medicine 29:00 - Can med + AI reason better than us? + vision for Curai 40:30 - When should patients go into clinic? 44:40 How has regulation affected you  47:00 - How has mentorship shaped your path 53:20 - 3 questions i want to ask everyone What are you most afraid of? What do you believe in? What gives you strength? 58:00- What do you want from the universe? Intro Music - Windows96 - Caligula (song used with permission from artist).   Host: David Wu @davidjhwu  Producer: Aaron Schumacher @a_schu95  Cover Art: Saurin Kantesaria   Follow us on twitter @themamlpodcast Email us! contact@themamlpodcast.com Looking for industry sponsors!

"Because Life needs Art to explicate its meaning, and Art needs Technology to keep its edge bleeding."

Yvonne Lui, MD, is the associate chair of radiology of NYU Langone Health. Today we discuss FastMRI, the interesting collaboration between NYU and Facebook AI. We explore how machine learning can enhance image reconstruction following an MRI scan.  0:00 Background on MRI 2:36 Intersection of Medicine and Machine Learning for Dr. Lui 6:40 Current Research Projects  11:40 MRI partnership with Facebook AI & MRI Image reconstruction  17:12 Models for research in clinical trials 21:30 Why Facebook is interested in this problem 24:15 Further information on the Machine Learning MRI reconstruction 27:45 Academic & Industry Collaboration  35:00 Hesitancy in collaborating with industry 37:05 What areas of AI are Dr. Lui interested in  38:45 Future of AI and Medicine 40:30 Radiology and Automation 43:00 Dr. Lui's balance between clinical work, research, and administrative work 48:20 What advice would you give to yourself early on in your career.  Host: David Wu @davidjhwu Producer: Aaron Schumacher @a_schu95 Cover Art: Saurin Kantesaria

David Lindsay is the CEO of Oncora, a data, documentation, and personalized care solution for specialty oncology. Oncora is currently implemented in many major hospital systems, including Northwell Health, MD Anderson, Mass General Children's, and Scripps Health. David founded the company during his MD/Ph.D. training at the University of Pennsylvania. 0:00 Introduction 1:15 David Lindsay tells his story 5:00 Initial Idea for a company bringing AI to oncology 7:35 When did David decide to start the company 10:25 Balancing being a CEO and a medical student at the same time 12:30 The early challenges in starting the company 14:30 The initial offerings of the company 17:50 Obtaining initial data sets 20:25 Initial funding for the company 24:45 A use case to predict hospitalization 27:10 How are these AI technologies regulated 30:00 How do clients pay for this technology 32:45 Tracking quality metrics 36:00 Integrating with an EHR 37:30 Further development of the product 41:35 Next steps for Oncora 43:55 Industry vs Academia 47:30 Next for AI in 10 - 20 years 48:20 Advice for yourself 20 years ago 50:00 Advice for students in industry 53:30 David’s plans for the future Host: David Wu @davidjhwu Producer: Aaron Schumacher @a_schu95 Cover Art: Saurin Kantesaria

Carmen Aguirre is a 4th-year medical student, visual jockey (VJ), and NFT artist. Here we sit down and discover what pushes her to continue developing her passions for medicine and artificial intelligence. You can find more info about her work here: https://linktr.ee/Neurite 0:00 Alex gives some background on NFT's  2:50 Background and Initial Involvement with NFT's  5:50 Seeing stigma around mental health conditions  9:10 Building a community around NFT's  9:40 The process of creating NFT's  13:20 Working for Ariana Grande  15:10 Working as a DJ and in music while in medical school  21:10 "Work is my life" - how Carmen balances the commitments  22:10 Time management  24:35 How a creative outlet benefited Carmen's mental health  27:25 Raising Money for mental health charities through NFT's  30:30 Going from animation to the drop process  34:00 Return of live music, graduating medical school and residency  36:45 The average medical student compared to the average 24-year old musician  39:15 How will technology change medicine in 10-20 years  41:00 Advice you would have given yourself going into your 20's Interviewer: David Wu Producer: Aaron Schumacher Art: Saurin Kantesaria

In our first ever two-interviewee episode we welcome Doctors Shannon Haymond and Christopher McCudden. Dr. Haymond is the Vice Chair for Computational Pathology and Director of Mass Spectrometry at Lurie Children’s hospital of Chicago and an Associate Professor of Pathology at Northwestern University Feinberg School of Medicine. Dr. McCudden is the Vice Chair for the Department of Pathology & Laboratory Medicine at the University of Ottawa and a Clinical Biochemist in the Division of Biochemistry at The Ottawa Hospital. They are co-authors of "Rise of the Machines: Artificial Intelligence and the Clinical Laboratory." This article details the potential uses for artificial intelligence within the clinical laboratory. From newborn screening and inborn errors of metabolism to toxicology screens and everything in between, this article not only provides insight into the future of artificial intelligence, but also a peek into the clinical laboratory. In this interview, we talk about the many paths to understanding and working with machine learning, from Dr. Haymond who is classically trained, to Dr. McCudden, who taught himself "R." We discuss the use of mass spectrometry, genomics screenings, and other current laboratory techniques and how they might be aided by artificial intelligence. We hope that this interview gives you a comprehensive look into the world of laboratory medicine that is at the heart of all healthcare systems. Thank you and enjoy! 1:37 What are Clinical Laboratories? 3:20 Breaking up with Excel - Dr. Haymond’s Journey 5:49 All Specialties use the Lab 7:40 Learning “R” - Dr. McCudden’s Journey 11:31 Clinical Mass Spectrometry 15:45 Newborn Screening and Genetic Testing 17:41 Clinical Biochemistry 21:56 Artificial General, Narrow, and Super Intelligence 23:40 AI in Genomics 29:55 Open Source or Proprietary? 32:33 Future of AI In the Clinical Lab 38:50 Advice to Listeners

Shanen Boettcher is a former general manager at Microsoft, product manager at Netscape, and now a PhD student at the University of Saint Andrews currently studying AI Ethics and Spirituality. Shanen was recently featured in a New York Times Article titled, "Can Silicon Valley Find God?" He is a pioneer in this field and deftly explores two very disparate topics to deeper probe the pressing questions of our generation.  In this interview we discuss how artificial intelligence can facilitate positive conversations about faith, the impact of faith/spirituality on health, as well as other interesting topics like the study of world religions and spiritual texts. We close with some advice for individuals looking to get involved in this sort of work.  1:20 Introduction and Background 2:55 Why study world religions? 5:50 Looking back on the days at Microsoft 7:20 The research that led to a New York Times article 11:55 Should AI expose people to their existing religious beliefs or provide new perspectives from other religions. 17:00 Where does this research go from here? 20:10 Do interactions with AI have an impact on people’s religious beliefs? 27:18 Use of algorithms for answering existential questions 30:00 How can this research help people? 37:10 Preventing religious bias in AI systems 40:20 Will technology bring us closer or further from our spirituality? 49:55 What should AI say when you ask existential questions? 52:55 Does the source of the voice affect an individual's interpretation of the answer? 1:02:50 Advice for those in their 20’s 1:07:30 Do we need religion going forward? 1:13:45 A favorite spiritual text

Dr. Jakub Tolar is the Dean of the University of Minnesota Medical School and is a Distinguished McKnight Professor in the Department of Pediatrics, Blood and Marrow Transplant & Cellular Therapy. He is the Vice President for Clinical Affairs at the University of Minnesota, Board Chair for University of Minnesota Physicians and co-leader of M Health Fairview. We have come to know him not only as a researcher and dean, but as a passionate advocate who is putting artificial intelligence at the forefront of academic medicine. 1:00 MaML @ UMN 2:08 Tools to Alleviate Human Suffering 4:00 The Brain Machine 6:56 How do we know things are real? 9:00 Serving Minnesotans 10:19 Meet the Dean 16:48 Rare Genetic Disorders and ML 18:14 Mori et al. Article (see citation) 19:00 Medical Errors 20:45 AI in Medical Education (see citation) 24:25 Mistakes of Modern Living 24:50 Antiquity and Modernity 30:35 Data Ownership  32:38 The EHR Conundrum 37:29 Technological Liberation 39:15 Epidermolysis bullosa 47:23 Dean Tolar's Advice 51:22 Future of AI in Medicine 54:50 Make Journaling a Part of Your Day! Mori, J., Kaji, S., Kawai, H. et al. Assessment of dysplasia in bone marrow smear with convolutional neural network. Sci Rep 10, 14734 (2020). https://doi.org/10.1038/s41598-020-71752-x Lentz A, Siy JO, Carraccio C. AI-ssessment: Towards Assessment As a Sociotechnical System for Learning. Acad Med. 2021;96(7S):S87-S88. doi:10.1097/ACM.0000000000004104 Interviewer: Madeline Ahern Producer: Melanie Bussan Art: Melanie Bussan Follow us on Twitter: https://twitter.com/TheMaMLPodcast?s=20

Dr. James Zou of Stanford University is an inaugural Chan-Zuckerberg investigator and faculty director for the university-wide AI for Health program.   Dr. Zou recently published a paper in Nature which is making waves in the clinical trial world because it is causing us to rethink how we set eligibility criteria for clinical trials. Using an ML approach, he shows that by changing such criteria, we can make trials both more inclusive, opening them up to way more patients, while at the same time safeguarding patient safety.  We also talk about his various other research projects, which span the gamut from evaluating FDA approvals of AI algorithms, all the way to deeper mathematical concepts like data valuation. Dr Zou is an impressive titan in the AI and medicine  space. In this interview I really came to appreciate how broad his research spans, which I think is key to his many successful projects. We ultimately close with some good advice for people looking to get involved in this exciting and growing space.  02:45 Introduction to the intersection of Medicine and AI 4:20 Life after Ph.D. 6:35 New Nature paper on AI and clinical trials 13:25 How did we approach this question? 14:15 Data Driven Approach - Trial Path Finder 16:59 The ethical implications of this approach 19:35 Why are minority populations excluded from research? 20:25 Using AI to include ineligible patients in clinical trials 23:50 Future for this project 27:00 Evaluation of FDA approvals for AI algorithms 32:23 Favorite Project Dr. Zou has worked on 35:01 Dr. Zou's favorite math concept in the machine learning space 39:10 Separating signal from noise 39:53 Dream research projects 41:00 Future of Ai % medicine in 10-20 years 43:15 The human and AI team 47:40 What advice would you give to your 20 year old self Interviewer: David Wu Producer: Aaron Schumacher & Alexander Jacobs Art: Melanie Bussan Follow us on Twitter:  https://twitter.com/TheMaMLPodcast?s=20