In partnership with the U-M Department of Computational Medicine & Bioinformatics, and the Michigan Integrated Center for Health Analytics & Medical Prediction, we’re excited to welcome Steffen Leonhardt, MD, PhD to Michigan! His talk is titled: “Thou shalt not touch – Nonobtrusive and Noncontact Monitoring Techniques for Medical Applications”. This talk is co-sponsored by MCIRCC,…
What if doctors had a sort of “crystal ball” to predict flare-ups in patients with inflammatory bowel disease? Such a tool could improve patient outcomes and save resources, say experts. That’s the goal of Dr. Akbar Waljee, a gastroenterologist at the VA Ann Arbor Healthcare System in Michigan.
Dr. Brahmajee K. Nallamothu will present findings from the HEROIC study on Thursday, February 8th, 2018. He developed this study with Dr. Paul Chan, Immediate Past Chair of Get With The Guidelines-Resuscitation. This three-year study uses qualitative methods to explore potential organizational and contextual factors related to resuscitation teams that may contribute to better outcomes…
Congratulations to MiCHAMP member Dr. Jack Iwashyna. He was recently elected to the American Society for Clinical Investigation (ASCI). He joins fellow MiCHAMP members Dr. John Ayanian and Dr. Brahmajee Nallamothu in the society.
Please join us on February 9th for Andrew Gelman’s talk: What’s Wrong with “Evidence-Based Medicine” and How Can We Do Better? The talk will be from 2 PM to 3:30 PM at the NCRC Research Auditorium (Building 10).
Adam Markovitz won the 2017 Mack Lipkin, Sr. Associate Member Award for his outstanding presentation of Incremental Effects of Antihypertensive Drugs: An Instrumental Variable Analysis of the SPRINT Trial. The paper that his talk was based on was published in the BMJ and can be read here. His coauthors include MiCHAMP investigators Dr. Jacob Mack,…
Each year in the US, around 1.4 million people survive a hospitalization for sepsis, and these sepsis survivors frequently experience new morbidity, high rates of hospital readmission, and high rates of death due to the lasting consequences of sepsis. This is the first review to synthesize the literature on post-sepsis morbidity, and to make recommendations…
Research using machine learning and artificial intelligence — tools that allow computers to learn about and predict outcomes from massive datasets — has been booming at the University of Michigan. The potential societal benefits being explored on campus are numerous, from on-demand transportation systems to self-driving vehicles to individualized medical treatments to improved battery capabilities.
CSCAR and ARC-TS provide a consultation service to assist researchers with deploying and running codes on HPC clusters such as Flux. The service assists with adapting scientific codes to parallel environments, making efficient use of HPC resources, scaling up codes, locating current and emerging performance bottlenecks, identifying hot spots, and parallelizing performance-critical parts.
Applications for fellows, mentors, and project partners for the 2018 programs are now open. Apply by January 31, 2018