Events

The School of Nursing, in partnership with Catholic Charities and Project Renewal, is collecting clothing for the less fortunate, including: New or gently used men's coats New or gently used children's coats, sweaters, sweatshirts, hats, and gloves (for ages 5 to 10) New men's socks, undergarments, hats, gloves, and scarves New or gently used men's sweatpants and sweatshirts (all sizes) Look for the red box at the following locations: School of Nursing, 560 W. 168th St. Vagelos College of Physicians and Surgeons, 630 W. 168th St. William Black Building, 650 W. 168th St. Hammer Health Sciences Library, 701 W. 168th St. Herbert Irving Pavilion, 161 Fort Washington Ave. Harkness Pavilion, 180 Fort Washington Ave.

On November 30, 2023, at 9am EST, ICAP will present the November Grand Rounds – Digital Health for the Next Generation: Implications of AI in Africa.  AI systems consume large amounts of data to make future predictions – this type of digital innovation has major implications for global health. In this Grand Rounds, two experts in AI, health, and policy will explore the digital health and AI landscape in Africa. This presentation will emphasize both the opportunities and concerns associated with the application of digital health and AI in African health systems, especially highlighting the impact on health policy, health advancement, health disparities, and more. REGISTER FOR THE EVENT>>> Presenters Huguette Diakabana Huguette Diakabana is a global health and digital transformation practitioner focused on connecting people to quality health care and life-saving technologies. She has deployed technology-based solutions in multiple sectors, including education and global health, in over 30 African, Latin American, and Caribbean countries. She is the outgoing co-chair of the World Health Organization’s Digital Health Technical Advisory Group. She currently works with organizations and governments in implementing impactful technology and AI-based solutions and leveraging data to expand and enhance the quality of health services. She is also a senior fellow at the Aspen Institute’s New Voices program and a faculty member of Harvard Medical School’s Digital Transformation in Healthcare Executive Programs. Rhuks Ako Rhuks Ako is an independent consultant and co-founder of the Africa Foundation for Peace and Security (AFPS), a think tank based in South Africa. He has held roles in academia and policy institutions, including the African Union Commission, where he served as a senior analyst with the Political Affairs, Peace, and Security department coordinating the Youth for Peace (Africa) program. He has also worked as a senior analyst in the Conflict Prevention and Early Warning Division (CPEWD) within the Peace and Security Department (PSD). Between 2002 and 2015, he held tenured positions in the law schools of Obafemi Awolowo University, Ile-Ife, Nigeria, and University of Hull, United Kingdom.

Register Here via Zoom. Anti-Racism Speaker Series featuring Timiya S. Nolan, PhD, APRN-CNP, ANP-BC. Dr. Nolan is a Nurse Scientist, Associate Professor, and Associate Director of Community Outreach and Engagement at The University of Alabama at Birmingham, School of Medicine. Her focus is on health disparities. The talk is titled "Charting a Course for Inclusive Excellence from Clinics to Communities". Dr. Nolan will be discussing the complexities of identifying and overcoming biases that might otherwise infringe upon the creation and maintenance of mutually beneficial academic-community-government-industry partnership. This event will be held via Zoom on Thursday, November 30th from 10 AM to 11 AM.   This live activity is designated for a maximum of 1 CE credit. Continuing education credit is available for CUIMC/NYSPI employees and faculty only. Columbia University Department of Psychiatry is responsible for this program and its content concerning CE credit eligibility. Columbia University Department of Psychiatry is recognized by the New York State Education Department's State Board for Psychology as an approved provider of continuing education for licensed psychologists #PSY-0168. Columbia University Department of Psychiatry maintains responsibility for this program and its content. Columbia University Department of Psychiatry is recognized by the New York State Education Department's State Board for Social Work as an approved provider of continuing education for licensed social workers #SW-0732. Columbia University Department of Psychiatry maintains responsibility for this program and its content. Please direct any questions about CE credit to Psych.CE@nyspi.columbia.edu.  

This week's Levin Lecture is by Dr. MaryLena Bliele, a postdoctoral research fellow at the Memorial Sloan Kettering Cancer Center. She’ll be presenting a talk on “A Domain-Oriented Analysis Pipeline for Spatial Transcriptomics With Application to Melanoma Data”. This week we’ll be in the 8th floor auditorium. All are welcome, come join us. Title: A Domain-Oriented Analysis Pipeline for Spatial Transcriptomics With Application to Melanoma Data Abstract: The spatial arrangement of cells within the tumor microenvironment plays a crucial role in the progression of melanoma. Recent advances in spatial sequencing technology, such as the 10X Visium platform, have enabled the creation of genomic datasets that capture spatial relationships. These analyses have demonstrated that mapping the immune landscape within the tumor can aid in the identification of potential candidates for immune checkpoint inhibitors (ICI), such as anti-PD1 immunotherapy. Specifically, exploring gene-cell interactions at the boundary between the tumor and its stroma has provided valuable insights. Therefore, it is essential to divide a tissue slide into regions of interest for this analysis. While various methods support this effort, standardized pipelines have not yet been established. Our novel approach for segmenting and analyzing the tumor-stroma interface in a 10X Visium melanoma dataset begins with gene expression cluster analysis and spotwise cell type deconvolution using Latent Dirichlet association, then region identification using percentages of the deconvolved "melanoma" cell type per cluster. One can then perform region-specific analysis of gene module prevalence and interaction.