Speaker: Barbara Engelhardt, PhD.
Title: Machine learning methods to identify tumor-immune microenvironments in spatial transcriptomics tumor data.
May 17, 2024, 11:00 AM -12 PM.
Clark Center, S360 (3rd Floor)
https://ccsb.stanford.edu/events/seminar-series
You’re invited to attend a VC panel on Generative AI and Healthcare on May 17th at 3:00PM. The panel will feature 5 Venture Capitalists and will focus on the latest trends, challenges and success factors with AI in healthcare startups. This panel is open to all faculty, graduate students and postdocs. It is sponsored by DBDS and the course BIODS 295 Generative AI in Healthcare.
When: May 17th, 3:00-4:30pm Panel; 4:30-5:30 Reception
Where: Chem H Building Room E153
DATE: Wednesday, 8 May 2024 TIME: 3:00–4:30 PM
LOCATION: Conference Room X399, Medical School Office Building, 1265 Welch Road, Stanford, CA
REGISTRATION FORM: https://redcap.stanford.edu/surveys/?s=WMH74XCX33
The Data Studio Office Hour brings together a series of biomedical investigators with a group of experts for brief individualized sessions to solicit advice about a statistical and study design issue that arises while planning or conducting a research project. This week, Data Studio holds office hours for your data science needs.
Please join us at the next monthly CCSB Seminar, Friday, April 19, from 11 AM to 12 PM.
The Stanford Center for Cancer Systems Biology Seminar Series aims to bring together experimental and computational researchers.
Speaker: Dr. Sean Bendall, Associate Professor in the Department of Pathology
Title: Multi-generational decisions in single cell biology
Abstract:
Single cell and spatial proteomics, starting with the earliest low parameter fluorescent cytometry and microscopy experiments, helped define the major cell subsets and architecture of human tissues as we understand them today. Now, a novel combination of elemental mass spectrometry with single cell analysis (mass cytometry – CyTOF, Science 2011) and nanometer-scale imaging (multiplexed ionbeam imaging – MIBI, Nature Med. 2014, Cell 2018, Science Adv., 2019) offers routine, simultaneous quantification of > 40 proteomic features without fluorescent agents or interference from spectral overlap and autofluorescence using heavy metal isotopes as reporters. With this, we have reached new levels of understanding in tissue immune organization, combined with novel single-cell visualization and analysis methods. By identifying new cell populations, regulatory relationships, and structural rulesets we have identified numerous clinically predictive features underlying human disease.
Location: James H. Clark Center, Room S360, 3rd floor next to the Coffee Shop (our refreshments provider!).
Or Online: Zoom link
Please contact Corinne Beck if you have any questions and feel free to subscribe to our mailing list here to receive our announcements and updates.