Events

Join us at the Haven Plaza Farmers Market for Breast Cancer Awareness Month and learn about breast cancer prevention, early detection, self-exam tutorials, mammogram resources, new breast imaging techniques offered at Columbia, and more! All Tuesdays in October, weather permitting. 10 AM to 2 PM. 

  About The Event Experience Real-World Practice Through Expert-Led Preceptorships: Preceptorships offer an unmatched opportunity to bring science to life. These immersive experiences foster peer-to-peer learning, bridge knowledge gaps, and empower attendees with the latest therapeutic insights and real-world treatment strategies—ultimately helping to elevate patient care. Topics: Updates From WCLC and ESMO on: Small Cell Lung Cancer EGFR Mutations and Targeted Therapy in NSCLC Early-Stage NSCLC Beyond EGFR: Advances in Targeted Therapy & Molecular Profiling in NSCLC Immunotherapy and Beyond in Advanced NSCLC Chair: Catherine Shu, MD Register Now

The National Artificial Intelligence Research Resource (NAIRR) is a U.S. pilot initiative that provides researchers and educators with access to computational, data, and training resources needed to advance AI research. By supporting research and responsible use of data, NAIRR helps drive scientific progress and strengthens U.S. leadership in artificial intelligence. In this webinar, CUIT Research Computing Services will provide an overview of what current opportunities are available through NAIRR, what specific computational resources researchers can take advantage of, eligibility requirements, and how to apply.

Thursday, October 30th 9:00am - 10:15am, Zoom Meeting ID: 963 2560 9671 Passcode: 698339 Bibhas Chakraborty, PhD Associate Professor, Centre for Quantitative Medicine; Interim Director, Centre for Quantitative Medicine Duke-NUS Medical School Innovative Trial Designs in Mobile Health Using Reinforcement Learning Multi-site national and international imaging consortia have formed with the goal of precisely characterizing the human brain across the lifespan. These consortia have succeeded in collecting large samples of brain magnetic resonance imaging (MRI) scans to estimate sex-specific trajectories of brain phenotypes across age, often called brain charts. The promise of brain charts is that future researchers and clinicians will be able to assess a new scan for deviations from this healthy trajectory. However, the implementation of these charts in practice is severely limited by differences across study sites, also known as site effects. Here, we first discuss several projects in harmonization of MRI data specifically tailored to this normative modeling setting. Then, we leverage advancements in model uncertainty quantification to propose new ways to calibrate brain charts, as an alternative to harmonizing data. Finally, we apply our approaches to the Lifespan Brain Chart Consortium (LBCC) to assess generalizability to new scans from both healthy individuals and Alzheimer's disease (AD) patients. Based on our findings, we provide methodological recommendations for applying fitted brain charts to new sites. Biostatistics Departmental Seminars & Lectures During the Fall and Spring semesters, the Department of Biostatistics holds regular seminars on Thursdays, called the Levin Lecture Series, on a wide variety of topics which are of interest to both students and faculty. Over each semester, there are also often guest lectures outside the regular Thursday Levin Lecture Series, to provide a robust schedule the covers the wide range of topics in Biostatistics. The speakers are invited guests who spend the day of their seminar discussing their research with Biostatistics faculty and students.