Events

AI Working Group With fast paced advances in AI, EIPM presents Artificial Intelligence Working Group. AI Working Group meets on the third Friday of every month. This is an interactive forum which provide faculty, staff and students with opportunities to discuss their projects, learn about new techniques, and present their research. “AI-Powered Laryngoscopy: Exploring the Future with Google Gemini” Presented by: Sean A. Setzen, M.D. Volunteer Research Assistant, Department of Otolaryngology-Head & Neck Surgery, Dr. Anais Rameau’s Lab. Contact Victoria Cummings (vjc4001@med.cornell.edu) for zoom link and/or meeting location.

EIPM Seminar Series Presents: “Heterogeneity in cellular senescence: from mechanisms to interventions” Presented by, Dr. Marco Demaria Director Institute of Mechanisms of Health, Ageing and Disease (MoHAD); University Medical Center Groningen (UMCG).

61-year-old Female with Sarcomatoid Carcinoma of the Ampulla 44-year-old Male with Anal Adenocarcinoma Discussion Boston Gene research reports available

Englander Institute for Precision Medicine Presents: "Data save lives: Deep learning from health data” Presented by, Dr. Roland Eils, Director for Digital Health, Berlin Institute of Health at Charité. Dr. Eils Biography: Prof. Dr. Roland Eils is founding director of the BIH Digital Health Center at Charité ̶ Universitätsmedizin Berlin and director of the Health Data Science unit at the Medical Faculty of Heidelberg University. Before, he was founding and managing director of Heidelberg University’s Systems Biology center BioQuant and Head of Division "Theoretical Bioinformatics" at the DKFZ in Heidelberg. His group has delivered significant contributions to the field of cancer genomics systems biology and digital health. Since 2017 Roland Eils has been member of the Organizing Committee of the Human Cell Atlas initiative and Coordinator of the HiGHmed Consortium. Since 2021, he has coordinated the HEALTH-X dataLOFT („Legitimierter, Offener und Föderierter Gesundheitsdatenraum in GAIA-X“) consortium. He has published over 700 publications cited over 65000 times resulting in an h-index of 112 (source: google scholar, last visited 2023-05-15).

A foundation model for generalizable disease detection from retinal images https://www.nature.com/articles/s41586-023-06555-x A whole-slide foundation model for digital pathology from real-world data https://www.nature.com/articles/s41586-024-07441-w Discussion led by Suraj Rajendran from the Hajirasouliha Lab

This Month's Topic: “Ovarify: a deep learning model for automatic calculation of ovarian morphological features in pelvic ultrasonography” Presented by Eeshaan Rehani, Graduate Student, Department of Physiology & Biophysics

Cancer-associated fibroblast phenotypes are associated with patient outcome in non-small cell lung cancer: https://pubmed.ncbi.nlm.nih.gov/38242124/ Discussion led by Amanda Reid, Mass Cytomentry Translational Research Technologist II

“Profiling human tumor-specific T cell responses for cancer biomarker discovery” Presented by Evan Newell, Ph.D. Professor Vaccine and Infectious Disease Division, Fred Hutch Joint Professor, Herbold Computational Biology Program Public Health Sciences Division, Fred Hutch Member Immunotherapy Integrated Research Center (IIRC), Fred Hutch & Pathogen-Associated Malignancies Integrated Research Center (PAM IRC), Fred Hutch Learn more about Dr. Newell... Dr. Evan Newell is an immunologist who develops and employs new technologies for accurately identifying specific biological signatures of human health and disease, including cancer and infectious diseases. He and his team work with blood and tissue samples, using mass cytometry and other single-cell analysis methods to better understand how the specificities of immune T cells influence their roles in clinically productive responses against pathogens or cancers.

“Cancer Epigenetics and Epitranscriptomics; From Knowledge to Applications” Presented by Professor Manel Esteller, M.D., Ph.D. Dr. Esteller is the Director of the Josep Carreras Leukaemia Research Institute (IJC), Chairman of Genetics in the School of Medicine of the University of Barcelona, and an ICREA Research Professor. His current research is devoted to the establishment of the epigenome and epitranscriptome maps of normal and transformed cells, the study of the interactions between epigenetic modifications and non-coding RNAs, and the development of new epigenetic drugs for cancer therapy.

This Month's Topic: “wsPurity - Weakly Supervised Tumor Purity Prediction from H&E Stained Slides” Presented by Salil Maharjan Staff Associate in Computational Biomedicine