Calendar

Aug
17
Tue
2021
PHIND Seminar - Orestis Vardoulis, Ph.D. @ Zoom - See Description for Zoom Link
PHIND Seminar – Orestis Vardoulis, Ph.D.
Aug 17 @ 11:00 am – 12:00 pm Zoom - See Description for Zoom Link
PHIND Seminar - Orestis Vardoulis, Ph.D. @ Zoom - See Description for Zoom Link

PHIND Seminar Series: Peace of mind for those affected by stroke

Orestis Vardoulis, Ph.D.
Co-Founder & CEO
ZeitMedical

 

Zoom Webinar Details
Webinar URL: https://stanford.zoom.us/s/94427469356
Dial: US: +1 650 724 9799  or +1 833 302 1536 (Toll Free)
Webinar ID: 944 2746 9356
Passcode: 999031

11:00am – 12:00pm Seminar & Discussion
12:00pm – 12:15pm Reception
RSVP Here

 

ABSTRACT

There is a growing population of over 10 million Americans that live with an elevated risk of having a stroke.

Each year approximately 1 million Americans survive a stroke or a ministroke, often severely affected by its debilitating effects. A more disabling stroke frequently occurs after the seminal events, leaving patients and their families scarred for life.

TIME = BRAIN. Early hospital presentation is the most critical determinant in good stroke outcomes. However, most patients arrive at the hospital often hours after the event, with less than 10% receiving any form of treatment (thrombolysis / thrombectomy).

As a result, at risk individuals struggle daily with the fear, a stroke might happen during night-time or when they are alone. Unfortunately a stroke that goes unnoticed for hours, is most often not treatable due to the lack of salvageable tissue.

To alleviate that fear, we are creating an AI-powered, smart-headband that analyzes brain waves to detect the onset of an event immediately, and alert the patient, caregivers and 911.

Our stroke detection AI has already been shown to detect ischemia during high-risk surgeries with 90% sensitivity and no false positives.

We have received FDA breakthrough designation for our solution and are currently running a pilot human factors and signal quality study.

Our vision is to provide peace of mind and optimal brain health for everyone.

 

ABOUT
Orestis is the CEO and Co-founder of Zeit Medical, a telehealth company that offers at home monitoring and alert solutions for patients at risk for stroke. Prior to starting Zeit, Orestis was a Stanford Biodesign Innovation Fellow where his team developed the initial idea about at-home stroke detection. Orestis trained as a Mechanical Engineer, at Aristotle University, Greece, earned his PhD in Biotechnology and Bioengineering at EPFL, Switzerland and conducted cutting edge research in flexible wearable electronics with the Bao Group at Stanford Chemical Engineering. He has authored more than twenty publications in prestigious journals and has filed for a variety of patents at the intersection of materials technology and medical devices. Orestis currently lives in San Francisco, where he also contributes to the UCSF-Stanford pediatric device consortium as a technology advisor.  He also maintains close ties with the med-tech and health-tech communities in Switzerland and Greece, contributing to regional Biodesign educational workshops.

 

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

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
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
6
Wed
2021
Early Detection of Cancer Conference @ Virtual Event
Early Detection of Cancer Conference
Oct 6 – Oct 8 all-day Virtual Event
Early Detection of Cancer Conference @ Virtual Event

Cancer Research UK, OHSU Knight Cancer Institute and the Canary Center at Stanford, present the Early Detection of Cancer Conference series. The annual Conference brings together experts in early detection from multiple disciplines to share ground breaking research and progress in the field.

The Conference is part of a long-term commitment to invest in early detection research, to understand the biology behind early stage cancers, find new detection and screening methods, and enhance uptake and accuracy of screening.

The 2021 conference will take place October 6-8 virtuallyFor more information visit the website: http://earlydetectionresearch.com/

Oct
12
Tue
2021
Cancer Early Detection Seminar Series - Azra Raza, MD @ Venue coming soon!
Cancer Early Detection Seminar Series – Azra Raza, MD
Oct 12 @ 11:00 am – 12:00 pm Venue coming soon!
Cancer Early Detection Seminar Series - Azra Raza, MD @ Venue coming soon!

CEDSS: The First Cell: A new model for cancer research and treatment

Azra Raza, M.D.
Chan Soon-Shiong Professor of Medicine
Director, Myelodysplastic Syndrome Center
Columbia University Medical Center

 

Location: Zoom
Meeting URL: https://stanford.zoom.us/s/99340345860
Dial: US: +1 650 724 9799  or +1 833 302 1536 (Toll Free)
Meeting ID: 993 4034 5860
Passcode: 711508

RSVP Here

 

ABSTRACT

Cancer research continues to be predicated on a 1970’s model of research and treatment. Despite half a century of intense research, we are failing spectacularly to improve the outcome for patients with advanced disease. Those who are cured continue to be treated mostly with the older strategies (surgery-chemo-radiation). Our contention is that the real solution to the cancer problem is to diagnose cancer early, at the stage of The First Cell. The rapidly evolving technologies are doing much in this area but need to be expanded. We study a pre-leukemic condition called myelodysplastic syndrome (MDS) with the hope that we can detect the first leukemia cells as the disease transforms to acute myeloid leukemia (AML). Towards this end, we have collected blood and bone marrow samples on MDS and AML patients since 1984. Today, our Tissue Repository has more than 60,000 samples. We propose novel methods to identify surrogate markers that can identify the First Cell through studying the serial samples of patients who evolve from MDS to AML.

 

ABOUT

Dr. Raza is a Professor of Medicine and Director of the MDS Center at Columbia University in New York, NY.She started her research in Myelodisplastic Syndromes (MDS) in 1982 and moved to Rush University, Chicago, Illinois in 1992, where she was the Charles Arthur Weaver Professor in Oncology and Director, Division of Myeloid Diseases. The MDS Program, along with a Tissue Repository containing more than 50,000 samples from MDS and acute leukemia patients was successfully relocated to the University of Massachusetts in 2004 and to Columbia University in 2010.

Before moving to New York, Dr. Raza was the Chief of Hematology Oncology and the Gladys Smith Martin Professor of Oncology at the University of Massachussetts in Worcester. She has published the results of her laboratory research and clinical trials in prestigious, peer reviewed journals such as The New England Journal of Medicine, Nature, Blood, Cancer, Cancer Research, British Journal of Hematology, Leukemia, and Leukemia Research. Dr. Raza serves on numerous national and international panels as a reviewer, consultant and advisor and is the recipient of a number of awards.

 

Hosted by: Utkan Demirci, Ph.D.
Spon
sored by: The Canary Center & the Department of Radiology 
Stanford University – School of Medicine

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

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

Nov
17
Wed
2021
IBIIS & AIMI Seminar: Deep Learning for Histology Images Analysis @ Zoom: https://stanford.zoom.us/j/91788140120?pwd=K2NvMHZ2SUFVWjc1d2xJUndjTG9lQT09
IBIIS & AIMI Seminar: Deep Learning for Histology Images Analysis
Nov 17 @ 12:00 pm – 1:00 pm Zoom: https://stanford.zoom.us/j/91788140120?pwd=K2NvMHZ2SUFVWjc1d2xJUndjTG9lQT09

Saeed Hassanpour, PhD
Associate Professor of Biomedical Data Science
Associate Professor of Epidemiology
Associate Professor of Computer Science
Dartmouth Geisel School of Medicine

Deep Learning for Histology Images Analysis

Abstract:
With the recent expansions of whole-slide digital scanning, archiving, and high-throughput tissue banks, the field of digital pathology is primed to benefit significantly from deep learning technology. This talk will cover several applications of deep learning for characterizing histopathological patterns on high-resolution microscopy images for cancerous and precancerous lesions. Furthermore, the current challenges for building deep learning models for pathology image analysis will be discussed and new methodological advances to address these bottlenecks will be presented.

About:

Dr. Saeed Hassanpour is an Associate Professor in the Departments of Biomedical Data Science, Computer Science, and Epidemiology at Dartmouth College. His research is focused on machine learning and multimodal data analysis for precision health. Dr. Hassanpour has led multiple NIH-funded research projects, which resulted in novel machine learning and deep learning models for medical image analysis and clinical text mining to improve diagnosis, prognosis, and personalized therapies. Before joining Dartmouth, he worked as a Research Engineer at Microsoft. Dr. Hassanpour received his Ph.D. in Electrical Engineering with a minor in Biomedical Informatics from Stanford University and completed his postdoctoral training at Stanford Center for Artificial Intelligence in Medicine & Imaging.

Dec
15
Wed
2021
IBIIS & AIMI Seminar: Indrani Bhattacharya, PhD & Rogier van der Sluijs, PhD @ Zoom: https://stanford.zoom.us/j/95371438521?pwd=Y3BheHpUanpESnh6VUkycVhlUWtodz09
IBIIS & AIMI Seminar: Indrani Bhattacharya, PhD & Rogier van der Sluijs, PhD
Dec 15 @ 12:00 pm – 1:00 pm Zoom: https://stanford.zoom.us/j/95371438521?pwd=Y3BheHpUanpESnh6VUkycVhlUWtodz09

Indrani Bhattacharya, PhD
Postdoctoral Research Fellow
Department of Radiology
Stanford University

Title: Multimodal Data Fusion for Selective Identification of Aggressive and Indolent Prostate Cancer on Magnetic Resonance Imaging

Abstract: Automated methods for detecting prostate cancer and distinguishing indolent from aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis and treatment planning. Existing automated methods of prostate cancer detection mostly rely on ground truth labels with limited accuracy, ignore disease pathology characteristics observed on resected tissue, and cannot selectively identify aggressive (Gleason Pattern≥4) and indolent (Gleason Pattern=3) cancers when they co-exist in mixed lesions. This talk will cover multimodal and multi-scale fusion approaches to integrate radiology images, pathology images, and clinical domain knowledge about prostate cancer distribution to selectively identify and localize aggressive and indolent cancers on prostate MRI.

Rogier van der Sluijs, PhD
Postdoctoral Research Fellow
Department of Radiology
Stanford University

Title: Pretraining Neural Networks for Medical AI

Abstract: Transfer learning has quickly become standard practice for deep learning on medical images. Typically, practitioners repurpose existing neural networks and their corresponding weights to bootstrap model development. This talk will cover several methods to pretrain neural networks for medical tasks. The current challenges for pretraining neural networks in Radiology will be discussed and recent advancements that address these bottlenecks will be highlighted.