HDS

Group photograph from the December 2023 health data science poster showcase

Duke’s Quantitative Expertise Shines at the Health Data Science Poster Showcase

By Jessica Johnstone

Friday, December 8, 2023 was a lively day as the Sarah P. Duke Gardens, Kirby Horton Hall was transformed into a hub of quantitative activity, hosting the Health Data Science Poster Showcase. It included 55 posters, each featuring insightful research, showcasing the depth and talent of Duke’s diverse community. From statistics and informatics to machine learning and data engineering, the topics spanned the full spectrum of health data science. Students, fellows, staff, and faculty alike presented their work, illuminating the collaborative spirit that thrives at Duke. The event, championed by Duke AI Health, the Duke Clinical & Translational Science Institute, the Laboratory for Transformative Administration, and the Center for Computational Thinking, was a testament to Duke’s commitment to fostering innovative research.

The event was a resounding success, fostering connections, sparking ideas, and leaving everyone energized by the potential of data-driven health. “The showcase illuminated the depth and impact of health data science across Duke,” Shelley Rusincovitch, MMCi, the event’s director said. “Empowering these collaborations is precisely why we do what we do.”

Health Data Science Poster Showcase venue

Michael Pencina, PhD, Chief Data Scientist for Duke Health and Director of Duke AI Health, extended a warm welcome to the audience. He remarked, “This endeavor reflects Duke’s dedication to ethical equitable data science, showcasing the application of advanced natural language processing methods to extract meaningful insights for the future of healthcare.”

Akshay Bareja, PhD, an Assistant Professor in Duke Molecular Physiology Institute, presented the Best Computational Thinking awards from Duke’s Center for Computational Thinking, to Tanner J. Zachem, a PhD student in the Department of Neurosurgery at the Brain Tool Laboratory under Patrick Codd, and Aditya Parekh, MS, a Duke AI Health Data Science fellow in Rohit Singh’s lab. Dr. Bareja commented, “There were so many excellent posters presented. I was particularly struck by the novelty and sophistication of the winner (TumorID) and runner-up (Sceodesic). The Tumor ID team developed a florescence spectroscopy device that can accurately classify tumor type and shows promise as a tool that can be used during surgery to perform real-time tumor identification and classification. Inspired by how flight paths are computed, the Sceodesic team developed a novel gene-program discovery algorithm. The clear and immediate real-world impact of TumorID gave it the edge and the fact that the presenter, Tanner Zachem, is still a first-year PhD student made the achievement all the more impressive!”

Poster Awardees

Mr. Zavhem’s poster, “Machine Learning and Laser Induced Fluorescence Spectroscopy for In Vivo Brain Tumor Identification” included co-authors Rory Goodwin MD, PhD, and Patrick J. Codd MD. Mr. Parekh’s poster “Sceodesic: Navigating the Manifold of Single-cell Gene Coexpression to Discover Interpretable Gene Programs” included co-authors Sinan Ozbay, MFin, and Rohit Singh, PhD.

Duke’s Quantitative Expertise Shines at the Health Data Science Poster Showcase Read More »

Flyer for the 2023 poster showcase call for participation

Call for Participation: Health Data Science Posters for December 8 Showcase

The next Duke Health Data Science poster showcase will be held on Friday, December 8, 2023 from 11:00 AM – 1:00 PM in person at the Sarah Duke Gardens Kirby Horton Hall.

We invite any member of the Duke community to submit a poster topic and participate in this event, including students, trainees, staff, and faculty.

Poster topics can cover a wide range of potential topics, such as statistics, informatics, machine learning, data engineering, implementation, process engineering, technology development, or applications. We especially encourage submissions describing experiences with Duke data sources. Posters describing class projects are also encouraged.

The preferred deadline for poster topics to be submitted is Wednesday, November 15, 2023.

Read more about this call for participation at https://aihealth.duke.edu/2023-cfp-poster-showcase/

Call for Participation: Health Data Science Posters for December 8 Showcase Read More »

Duke Electronic Health Records Study Design Workshop (EHR-SDW) 2023

Duke AI Health is pleased to announce the Duke Electronic Health Records Study Design Workshop (EHR-SDW) 2023. The workshop will be offered December 4th through 8th as a virtual five-day class that provides foundational lectures and hands-on studios on the fundamentals of working with and designing EHR based studies. The EHR-SDW is targeted toward individuals interested in learning about how to work with and conduct studies using electronic health records (EHR) data. EHR data are a widely available form of real-world data that have become standard in studies ranging from clinical trials, comparative effectiveness, risk prediction, and population health. The EHR-SDW will introduce the components of EHR data and introduce considerations for design of effective studies. In addition to didactic lectures, participants will get hands-on experience in working with publicly available tools to facilitate EHR studies (e.g., RxNorm, CCS codes, geocoding) as well as feedback on effective study designs that they will work on. The course will be conducted virtually via Zoom. This workshop is offered through Duke AI Health’s Health Data Science (HDS) program and builds on the success of the Electronic Health Records Study Design Workshop held in December 2022 and highly successful Machine Learning Schools, with 12 events held since 2017. The Duke Machine Learning Schools have reached hundreds of participants from academia and industry and including international audiences at the SingHealth/Duke NUS Medical School and the Duke Kunshan University campus. Our 2022 Duke Machine Learning Summer School attracted 140 participants from around the world, representing 41 universities, institutes, and corporations.

READ MORE

Duke Electronic Health Records Study Design Workshop (EHR-SDW) 2023 Read More »

Flyer for the event

Please join us for a lunch and learn on September 19

Large language models (LLM) are powering amazing recent innovations in generative AI such as ChatGPT. Although their capabilities may seem like magic, behind these technologies are concepts that anyone can understand.

Please join us on Tuesday, September 19 for a lunch and learn as Larry Carin provides a math-free, intuitive explanation of how LLMs work. Dr. Carin will introduces participants to the deep-learning technology that has revolutionized the capacity of machines to perform language translation, to answer questions posed for given text, and to generate (synthesize) text that is near human-generated quality.

LEARN MORE

Please join us for a lunch and learn on September 19 Read More »

Flyer for the 2023 poster showcase

New video highlights success of the spring 2023 poster showcase

A new video highlights the experience of the Duke Health Data Science Poster Showcase, held April 24, 2023 at the Mary Duke Biddle Trent Semans Center for Medical Education.

Created by Duke videographer Michael Blair with support from the Duke Center for Computational Thinking, the video features interviews by Matt Engelhard, PhD, an Assistant Professor of Biostatistics and Bioinformatics and faculty director of the AI Health Data Science Fellowship Program; and Hanxue Gu, a PhD student in the Electrical and Computer Engineering department and a member of the Mazurowski Lab who won the award for Best Computational Thinking Poster.

 

New video highlights success of the spring 2023 poster showcase Read More »

Composite image featuring photos of 32 speakers

AI Health Spring 2023 Learning Experiences

By Tiffany Torres

The Spring 2023 semester was comprised of 15 AI Health seminars that attracted 866 attendances, including people who attended multiple sessions.

 The AI Health seminar series builds upon the success of our previous “Plus Data Science” learning experiences from 2017 – 2021 under the leadership of Larry Carin, which convened 59 in-person learning experiences and 66 virtual learning experiences.

Since its launch in 2018, +DS has held a cumulative 140 learning experience sessions (both in-person and virtual).

The Spring 2023 semester featured 32 data experts from across multiple areas of interest.

Duke Departments and Schools Represented:

  • Biostatistics and Bioinformatics
  • Duke Health Technology Solutions
  • Biomedical Imaging
  • Family Medicine and Community Health
  • School of Nursing
  • Civil and Environmental Engineering
  • Electrical and Computer Engineering
  • Computer Science
  • CTSI
  • Radiology
  • Pediatrics
  • Neurosurgery
  • Biomedical Engineering
  • Population Health Sciences
  • Geriatrics
  • Office of Evaluation and Applied Research Partnership

We are looking forward to the Fall 2023 learning experiences, which will begin in September. A list of upcoming events can be found at https://aihealth.duke.edu/events/

AI Health Spring 2023 Learning Experiences Read More »

Photograph showing approximately 60 people in a group

April Poster Showcase Features Duke’s Successes in Health Data Science

A poster showcase held on Monday, April 24, 2023 at the Mary Duke Biddle Trent Semans Center for Medical Education featured 28 posters in health data science. This cross-disciplinary event was hosted by multiple organizations, including Duke AI Health, the Laboratory for Transformative Administration, and the Center for Computational Thinking. Poster topics were centered around health data science and covered a wide range of topics including statistics, informatics, machine learning, data engineering, implementation, process engineering, technology development, and applications. The posters were submitted by people at all stages of their careers, including students, trainees, staff, and faculty. Information tables also shared programs and resources relevant to health data science at Duke.

READ MORE

April Poster Showcase Features Duke’s Successes in Health Data Science Read More »

Flyer for the April 24 poster showcase

Join us for the Health Data Science Poster Showcase on April 24

The Health Data Science poster showcase will be held in person on Monday, April 24 from 12:00-2:00 PM. We’re excited that this cross-disciplinary event will be hosted by multiple organizations, including Duke AI Health, the Laboratory for Transformative Administration, and the Center for Computational Thinking.

The poster display will take place in the Mary Duke Biddle Trent Semans Center for Medical Education (Trent Semans) on the 6th floor and we’ll serve light refreshments.

More than 25 posters will be presented, including Duke participants from: AI Health Fellowship Program; Biomedical Engineering; Clinical and Translational Science Institute (CTSI); Computer Science; Department of Biostatistics and Bioinformatics; Department of Internal Medicine; Department of Neurosurgery; Department of Surgery; Division of Geriatrics, Department of Medicine; Division of Hematology, Department of Medicine; Duke Clinical Research Institute (DCRI); Electrical and Computer Engineering (ECE); Duke Health Technology Solutions (DHTS); Laboratory for Transformative Administrative (LTA); Master of Management in Clinical Informatics (MMCi); OB-GYN; and Trinity College of Arts & Sciences.

Information tables will include programs from across Duke: The + Programs for Students; Duke AI Health; Biostatistics, Epidemiology, and Research Design (BERD); Center for Computational Thinking; Duke Data Analytics Community; and the Master of Management in Clinical Informatics.

Poster awards will include Best Computational Thinking Poster and the Good DEEDS Award (Ethical and Equitable Data Science).

Please join us! All are welcome, and light refreshments will be served.

Join us for the Health Data Science Poster Showcase on April 24 Read More »

Flyer displaying the call for participation

Call for Participation: Posters for the April 24 Duke Health Data Science Showcase

The Health Data Science poster showcase will be held on Monday, April 24 from 12:00-2:00 PM in-person in the Mary Duke Biddle Trent Semans Center for Medical Education (Trent Semans). We’re excited that this cross-disciplinary event will be hosted by multiple organizations, including Duke AI Health, the Laboratory for Transformative Administration, and the Center for Computational Thinking.

We invite any member of the Duke community to propose a poster entry for participation in this event, including students, trainees, staff, and faculty. This experience is intended to be especially valuable to individuals seeking to gain experience in presenting their work in front of a scientific audience, and the poster itself can become a valuable part of an academic portfolio.

Submit your poster topic at: https://duke.qualtrics.com/jfe/form/SV_1HuvnGKOY4YMa9w

The preferred deadline for poster topics to be submitted is Monday, March 13, 2023 by 11:59 PM (Eastern time).

Update on March 10: We’ve heard from several people that their research is ongoing, and we’ve decided to accept poster topics on an rolling basis, to allow everyone the full opportunity to participate.

Poster topics must be centered around health data science, but can cover a wide range of potential topics, such as statistics, informatics, machine learning, data engineering, implementation, process engineering, technology development, or applications. We especially encourage submissions describing experiences with Duke data sources. Student posters describing class projects (at both the undergraduate and graduate levels) are also encouraged.

After you submit your topic, you’ll then receive a poster template with the correct dimensions.

You’ll need to submit your finalized poster by Friday, April 14 in order to have it printed. If your poster is accepted, the event organizers will print it for you and you will have no cost to participate. The showcase will include poster judging, with recognitions including best poster.

We’re excited to do another poster session after the very successful December event, and we invite you to join us! Please email aihealth@duke.edu if you have any questions.

Call for Participation: Posters for the April 24 Duke Health Data Science Showcase Read More »

AI Health Seminar Series Success from 2022

The fall 2022 semester was comprised of 9 AI Health seminars that attracted 463 attendances, including people who attended multiple sessions. Across all of 2022, the AI Health seminar series has hosted 22 virtual seminars with 1,820 cumulative attendances. The AI Health seminar series builds upon the success of our previous “Plus Data Science” learning experiences from 2017 – 2021 under the leadership of Larry Carin, which convened 59 in-person learning experiences and 66 virtual learning experiences. Since its launch in 2018, +DS has held a cumulative 125 learning experience sessions (both in-person and virtual). – Metrics by Tiffany Torres

AI Health Seminar Series Success from 2022 Read More »