Calendar

Sep
21
Tue
2021
PHIND Seminar - Sindy KY Tang, Ph.D. @ Zoom - See Description for Zoom Link
PHIND Seminar – Sindy KY Tang, Ph.D.
Sep 21 @ 11:00 am – 12:00 pm Zoom - See Description for Zoom Link
PHIND Seminar - Sindy KY Tang, Ph.D. @ Zoom - See Description for Zoom Link

PHIND Seminar Series: Towards precision diagnostic and prediction of food allergy

Sindy KY Tang, Ph.D.
Associate Professor of Mechanical Engineering, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Radiology – PHIND Center
Stanford University

 

Location: Zoom
Webinar URL: https://stanford.zoom.us/s/91932966334
Dial: US: +1 650 724 9799  or +1 833 302 1536 (Toll Free)
Webinar ID: 919 3296 6334
Passcode: 383071

11:00am – 12:00pm Seminar & Discussion
RSVP Here

 

ABSTRACT
Food allergy has reached epidemic proportions. Accurate in vitro methods that are efficient and easy to use to identify offending food allergens are lacking. Oral food challenge, the gold standard for food allergy assessment, is often not performed as it places the patient at risk of anaphylaxis. As such, food allergy is often identified only after an adverse reaction that could be life-threatening. Our long-term goal is to develop a food allergy diagnostic test that is accurate, safe, rapid, and accessible, so that food allergy can be easily identified prior to the occurrence of an adverse reaction, and that the efficacy of immunotherapy for food allergy can be tracked more effectively. This talk will discuss our recent work on developing such a test. Our approach is based on the Basophil Activation Test (BAT), which measures the activation of basophils in whole blood after stimulation with specific food allergens ex vivo. The BAT has been shown to be highly predictive of allergic reactions. However, the need for flow cytometry has limited its broader use. We are developing a miniaturized, standalone version of the BAT. We envision that the test can be used at the point of care, such as the doctor’s office or at a local pharmacy.

 

ABOUT
Prof. Sindy KY Tang is the Kenneth and Barbara Oshman Faculty Scholar and Associate Professor of Mechanical Engineering and by courtesy of Radiology (Precision Health and Integrated Diagnostics) at Stanford University. She received her Ph.D. from Harvard University in Engineering Sciences under the supervision of Prof. George Whitesides. Her lab at Stanford works on the fundamental understanding of fluid mechanics and mass transport in micro-nano systems, and the application of this knowledge towards problems in biology, rapid diagnostics for health and environmental sustainability. The current areas of focus include the flow physics of confined micro-droplets using experimental and machine learning methods, interfacial mass transport and self-assembly, and ultrahigh throughput opto-microfluidic systems for disease diagnostics, water and energy sustainability, and single-cell wound healing studies. She was a Stanford Biodesign Faculty Fellow in 2018. Dr. Tang’s work has been recognized by multiple awards including the NSF CAREER Award, 3M Nontenured Faculty Award, the ACS Petroleum Fund New Investigator Award, and invited lecture at the Nobel Symposium on Microfluidics in Sweden. Website: http://web.stanford.edu/group/tanglab/

 

Hosted by: Garry Gold, M.D.
Sponsored by the PHIND Center and the Department of Radiology

Sep
22
Wed
2021
IBIIS & AIMI Seminar: Seeing the Future from Images: ML-Based Models for Cancer Risk Assessment @ Zoom: https://stanford.zoom.us/j/99474772502?pwd=NEQrQUQ0MzdtRjFiYU42TCs2bFZsUT09
IBIIS & AIMI Seminar: Seeing the Future from Images: ML-Based Models for Cancer Risk Assessment
Sep 22 @ 11:00 am – 12:00 pm Zoom: https://stanford.zoom.us/j/99474772502?pwd=NEQrQUQ0MzdtRjFiYU42TCs2bFZsUT09

 

Regina Barzilay, PhD
School of Engineering Distinguished Professor for AI and Health
Electrical Engineering and Computer Science Department
AI Faculty Lead at Jameel Clinic for Machine Learning in Health
Computer Science and Artificial Intelligence Lab
Massachusetts Institute of Technology

Abstract:
In this talk, I will present methods for future cancer risk from medical images. The discussion will explore alternative ways to formulate the risk assessment task and focus on algorithmic issues in developing such models. I will also discuss our experience in translating these algorithms into clinical practice in hospitals around the world.

Sep
24
Fri
2021
CME Grand Rounds Diversity Lectureship - Jennifer L. Eberhardt, PhD @ Zoom - See Description for Zoom Link
CME Grand Rounds Diversity Lectureship – Jennifer L. Eberhardt, PhD
Sep 24 @ 12:00 pm – 1:00 pm Zoom - See Description for Zoom Link
CME Grand Rounds Diversity Lectureship - Jennifer L. Eberhardt, PhD @ Zoom - See Description for Zoom Link

CME Grand Rounds Diversity Lectureship – Topic: TBD

 

Jennifer L. Eberhardt, PhD
Professor
Psychology
Stanford University

 

Join from PC, Mac, Linux, iOS or Android: https://stanford.zoom.us/j/600003703?pwd=RjcwS2MvOG1qVkxyL3U0RmNtUDVWdz09
Meeting ID: 600 003 703
Password: 566048
Or iPhone one-tap (US Toll): +18333021536,,600003703# or +16507249799,,600003703#
Or Telephone:
Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free)
International numbers available: https://stanford.zoom.us/u/acuqphnvqT

 

ABSTRACT
Coming soon!

 

BIO
Coming soon!

Sep
27
Mon
2021
2021 IBIIS & AIMI Virtual Retreat
Sep 27 @ 1:00 pm – 4:30 pm https://ibiis.stanford.edu/events/retreat/2021Hybrid.html

Keynote:

Self-Supervision for Learning from the Bottom Up

Why do self-supervised learning? A common answer is: “because data labeling is expensive.” In this talk, I will argue that there are other, perhaps more fundamental reasons for working on self-supervision. First, it should allow us to get away from the tyranny of top-down semantic categorization and force meaningful associations to emerge naturally from the raw sensor data in a bottom-up fashion. Second, it should allow us to ditch fixed datasets and enable continuous, online learning, which is a much more natural setting for real-world agents. Third, and most intriguingly, there is hope that it might be possible to force a self-supervised task curriculum to emerge from first principles, even in the absence of a pre-defined downstream task or goal, similar to evolution. In this talk, I will touch upon these themes to argue that, far from running its course, research in self-supervised learning is only just beginning.

Oct
8
Fri
2021
CME Grand Rounds - Christoph L. Lee, MD, MS, MBA @ Zoom - See Description for Zoom Link
CME Grand Rounds – Christoph L. Lee, MD, MS, MBA
Oct 8 @ 12:00 pm – 1:00 pm Zoom - See Description for Zoom Link
CME Grand Rounds - Christoph L. Lee, MD, MS, MBA @ Zoom - See Description for Zoom Link

CME Grand Rounds – “Community Based Partnered Research:  Revisiting a Critical Concept for Radiology”

 

Christoph L. Lee, MD, MS, MBA
Professor
Radiology
University of Washington

 

Join from PC, Mac, Linux, iOS or Android: https://stanford.zoom.us/j/600003703?pwd=RjcwS2MvOG1qVkxyL3U0RmNtUDVWdz09
Meeting ID: 600 003 703
Password: 566048
Or iPhone one-tap (US Toll): +18333021536,,600003703# or +16507249799,,600003703#
Or Telephone:
Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free)
International numbers available: https://stanford.zoom.us/u/acuqphnvqT

 

ABSTRACT
Coming soon!

 

BIO
Coming soon!

Oct
19
Tue
2021
PHIND Seminar - Christina Curtis, Ph.D. @ Venue coming soon!
PHIND Seminar – Christina Curtis, Ph.D.
Oct 19 @ 11:00 am – 12:00 pm Venue coming soon!
PHIND Seminar - Christina Curtis, Ph.D. @ Venue coming soon!

PHIND Seminar Series: Topic TBA

Christina Curtis, Ph.D.
Associate Professor of Medicine (Oncology) and of Genetics
Stanford University

 

Location: Venue coming soon!
11:00am – 12:00pm Seminar & Discussion
12:00pm – 12:15pm Reception
RSVP coming soon!

 

ABSTRACT
Coming soon!

 

ABOUT
Coming soon!

 

Hosted by: Garry Gold, M.D.
Sponsored by the PHIND Center and the Department of Radiology

Oct
22
Fri
2021
CME Grand Rounds - Jocelyn D. Chertoff, MD, MS @ Zoom - See Description for Zoom Link
CME Grand Rounds – Jocelyn D. Chertoff, MD, MS
Oct 22 @ 12:00 pm – 1:00 pm Zoom - See Description for Zoom Link
CME Grand Rounds - Jocelyn D. Chertoff, MD, MS @ Zoom - See Description for Zoom Link

CME Grand Rounds – Topic: TBD

Jocelyn D. Chertoff, MD, MS
Professor
Radiology, Obstetrics & Gynecology
Chair, Radiology
Dartmouth Hitchcock Medical Center

 

Join from PC, Mac, Linux, iOS or Android: https://stanford.zoom.us/j/600003703?pwd=RjcwS2MvOG1qVkxyL3U0RmNtUDVWdz09
Meeting ID: 600 003 703
Password: 566048
Or iPhone one-tap (US Toll): +18333021536,,600003703# or +16507249799,,600003703#
Or Telephone:
Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free)
International numbers available: https://stanford.zoom.us/u/acuqphnvqT

 

ABSTRACT
Coming soon!

 

BIO
Coming soon!

Nov
4
Thu
2021
CME Grand Rounds Etta K. Moskowitz Lectureship - Elizabeth Krupinski, PhD @ Zoom - See Description for Zoom Link
CME Grand Rounds Etta K. Moskowitz Lectureship – Elizabeth Krupinski, PhD
Nov 4 @ 5:30 pm – 6:30 pm Zoom - See Description for Zoom Link
CME Grand Rounds Etta K. Moskowitz Lectureship - Elizabeth Krupinski, PhD @ Zoom - See Description for Zoom Link

CME Grand Rounds Etta K. Moskowitz Lectureship – Topic: TBD

Elizabeth Krupinski, PhD
Professor & Vice Chair for Research
Radiology & Imaging Sciences
Emory University School of Medicine

 

Join from PC, Mac, Linux, iOS or Android: https://stanford.zoom.us/j/600003703?pwd=RjcwS2MvOG1qVkxyL3U0RmNtUDVWdz09
Meeting ID: 600 003 703
Password: 566048
Or iPhone one-tap (US Toll): +18333021536,,600003703# or +16507249799,,600003703#
Or Telephone:
Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free)
International numbers available: https://stanford.zoom.us/u/acuqphnvqT

 

ABSTRACT
Coming soon!

 

BIO
Coming soon!

Nov
12
Fri
2021
CME Grand Rounds - Michael Gisondi, MD @ Zoom - See Description for Zoom Link
CME Grand Rounds – Michael Gisondi, MD
Nov 12 @ 12:00 pm – 1:00 pm Zoom - See Description for Zoom Link
CME Grand Rounds - Michael Gisondi, MD @ Zoom - See Description for Zoom Link

CME Grand Rounds – “Promote Your Academic Career Using Social Media”

Michael Gisondi, MD
Associate Professor & Vice Chair of Education
Emergency Medicine
Stanford University

 

Join from PC, Mac, Linux, iOS or Android: https://stanford.zoom.us/j/600003703?pwd=RjcwS2MvOG1qVkxyL3U0RmNtUDVWdz09
Meeting ID: 600 003 703
Password: 566048
Or iPhone one-tap (US Toll): +18333021536,,600003703# or +16507249799,,600003703#
Or Telephone:
Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free)
International numbers available: https://stanford.zoom.us/u/acuqphnvqT

 

ABSTRACT
Coming soon!

 

BIO
Coming soon!

Nov
16
Tue
2021
PHIND Seminar - Michael Eisenberg, M.D. & Gary M. Shaw, Ph.D. @ Venue coming soon!
PHIND Seminar – Michael Eisenberg, M.D. & Gary M. Shaw, Ph.D.
Nov 16 @ 11:00 am – 12:00 pm Venue coming soon!
PHIND Seminar - Michael Eisenberg, M.D. & Gary M. Shaw, Ph.D. @ Venue coming soon!

PHIND Seminar Series: Male Infertility and the Future Risk of Vascular and CV Disease

Michael Eisenberg, M.D.
Associate Professor of Urology and, by courtesy, of Obstetrics and Gynecology
Stanford University Medical Center

 

Gary M. Shaw, Ph.D.
NICU Nurses Professor and Professor, by courtesy, of Health Research and Policy (Epidemiology) and of Obstetrics and Gynecology (Maternal Fetal Medicine)
Stanford University

 

Location: Venue coming soon!
11:00am – 12:00pm Seminar & Discussion
12:00pm – 12:15pm Reception
RSVP coming soon!

 

ABSTRACT
Coming soon!

 

ABOUT
Coming soon!

 

Hosted by: Garry Gold, M.D.
Sponsored by the PHIND Center and the Department of Radiology