News

2022

  • (Dec 2022) Our latest paper in Nature Communications (new window) (new window) regarding a large scale consortium effort to develop a #federated learning approach for AI models based on #braincancer#imaging . The segmented labels from our REMBRANDT #MRI dataset are part of a world-wide federated platform Federated Tumor Segmentation (FeTS) https://www.fets.ai/ (new window) (new window)  that allows training specific #machinelearning models by leveraging information gathered from brain cancer datasets residing in collaborating sites without ever exchanging the data. Such a world wide platform enables very large multi-site machine learning models in an effort to accelerate discovery. In this paper, we describe how this #Federated Learning model enabled #bigdata for #Rare Cancer Boundary Detection. This work was published with our collaborators Sypiron Bakas, Sarthak Pati, Ujjwal Baid et al at #UPenn . Read a short summary of the paper here (new window) (new window) .
  • (June 2022) Read @Georgetown_ICBI team’s latest publication on Enhancing the REMBRANDT MRI collection published with @SpringerNature in Nature @ScientificData. 10.1038/s41597-022-01415-1
  • (April 2022) SAVE THE DATE ! for the #AI for #HealthEquity 2022 #Symposium ! The #NIH designated #AIM-AHEAD program (#Artificialintelligence / #MachineLearning #Consortium to Advance #HealthEquity and Researcher #Diversity )  is organizing a Two-day #virtual #conference followed by a 4-week workshop series to discuss cutting edge technologies and the impact of using #AI and #ML in biomedicine and beyond. Read more details here (new window)
  • (Jan 2022) The Innovation Center for Biomedical Informatics (ICBI) at Georgetown University Medical Center is excited to be collaborating with Medstar Health and Biomedical Graduate Education (BGE) at Georgetown University in the Data Science Training Core. This is part of a new two-year, multimillion-dollar award funded by the National Institutes of Health (NIH). The initiative is one of the four core functions of the Artificial Intelligence/Machine Learning (AI/ML) Consortium to Advance Health Equity and Researcher Diversity (new window) (AIM-AHEAD) Program.

    The teams will work to develop Artificial Intelligence and Machine Learning Training for Early Career and Minority Investigators Interested in Health Disparities. Read more here (new window).

2021

  • Our paper titled “CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data” published in Cancer Informatics in Dec 2016 made it to the top 25 cited articles in the journal Cancer Informatics in the year 2021 ! Read the full paper by Yuriy Gusev, Krithika Bhuvaneshwar et al here : 10.1177/1176935117746637 (new window)

2020

  • (July 2020) Rebecca B. Riggins (new window), Associate Professor of Oncology at Lombardi Comprehensive Cancer Center (LCCC) (new window) and Robert A. Beckman (new window), Professor of Oncology and of Biostatistics, Bioinformatics, and Biomathematics, LCCC and the Innovation Center for Biomedical Informatics (ICBI) (new window) have received a Department of Defense Breakthrough Award. The grant provides these two partnering Principal Investigators $750K over three years to investigate the role of fast evolving “hypermutator” subclones in generating therapy resistance in ER+/HER2+ double positive breast cancer. Experimental studies in Dr. Riggins’ laboratory will test and refine dynamic precision medicine (DPM), a new approach to precision medicine of cancer that Dr. Beckman has formulated and studied in computerized simulations. Co-investigators include  Matthew McCoy (new window), Assistant Professor of Oncology, LCCC/ICBI, Lu Jin, Data Analyst, LCCC, and Chen-Hsiang Yeang, Associate Professor of Statistical Science, Academia Sinica, Taiwan. 

2019

  • (May 2019) ICBI-Georgetown’s Viral RNA detection pipeline viGEN published in a new Frontiers in Microbiology e-book titled ”Using Genomics, Metagenomics and other omics” ! Access the book here 
  • (March 2019) ICBI-Georgetown Director Dr. Subha Madhavan made the face of AMIA . Read more here.
  • (March 2019) We are in the news again ! ICBI_Georgetown Director Dr. Subha Madhavan  talking about ‘Teaching Health Informatics and Its Ethical Implications’ . Read the full story here.

2018 – A Year in Review

Notable achievements from ICBI’s Faculty and Staff during the year

  • In Sep 2018, Georgetown University Medical Center named ICBI Director Dr. Subha Madhavan, as its Chief Data Scientist and director of its newly established Office of Health Informatics and Data Science.​
  • The Office of Health Informatics and Data Science announced a new Master’s in Health Informatics & Data Science (HIDS) program. This prgoram is an industry-driven program, focused on current and emerging technologies that will inform healthcare. Students will gain core competency in data science, big data analytics, artificial intelligence and machine learning applications to achieve Precision Medicine and Value based healthcare.  More information about the program can be obtained here.
  • Dr. Bob Beckman edited (with Zoran Antonijevic) and published a book on innovative clinical trial designs that have the potential to increase the efficiency of bringing life-altering medicines to patients, Platform Trials in Drug Development: Umbrella Trials and Basket Trials, Chapman and Hall, CRC Press. He contributed 5 chapters, including one with Subha Madhavan and Daphne Guinn. Zoran and Bechman were able to recruit an extraordinary author group for the book ! The books are available via hard cover and kindle on Amazon here
  • ​Dr. Simina Boca authored two first author papers in JCO precision medicine (April 2018) and PeerJ (Dec 2018), the latter which gathered a fair amount of twitter limelight.She also wrote a blog post about her research-wise year in review
  • ​Drs. Yuriy Gusev and Subha Madhavan were interviewed numerous times after their paper on the REMBRANDT brain cancer data collection that was published in Nature Scientific Data in Aug 2018. They were interviwed by Genome Web, featured in HealioGUMC news, and Science Daily. A full collection of news articles about this dataset can be seen hereOur team is humbled that VP Joe Biden not only tweeted about our work, but also personally congratulated Lombardi director Dr. Lou Weiner over the phone for this accomplishment ! 
  • In March 2018, Dr. Matthew McCoy received the Marco Ramoni Distinguished Paper Award for work he presented at the AMIA 2018 Informatics Summit. The Marco Ramoni Award for Translational Bioinformatics is presented annually at the AMIA Joint Summits by the TBI Scientific Program Committee to an author that best exemplifies the spirit and scholarship of Marco Ramoni. In applying informatics methods, Dr. McCoy has helped illuminate basic molecular biology processes relevant to the conquest of human disease. 
  • Mr. Anas Belouali, Technical Lead and Senior Software Engineer for ICBI, spoke at the 2018 Cancer Centers Administrative Spring Forum (CCAF) that took place in Portland, Oregon on March 18 through 20. The NCI IT meet that makes up part of this forum looks for ways to share IT tools that help cancer centers support research, simplifying a complex and constantly changing medical environment. As a representative of ICBI, Mr. Belouali delivered a highly regarded presentation discussing data mining techniques to integrate research and care.
  • The ICBI team comprising of Vishakha Sharma, Simina Boca, Joe Bender, Matt McCoy, Yuriy Gusev, Krithika Bhuvaneshwar, Brent Harris and Subha Madhavan participated in the 2018 Data Science Bowl. The Data Science Bowl is a worldwide competition that brings together data scientists, technologists, and domain experts across industries to take on the world’s challenges with data and technology. In the 2018 Data Science Bowl challenge, the aim was to identify the nuclei in divergent microscopy images, regardless of the experimental setup, over a period of 90 days. Our team approached this automated idenficiation challenge in three different ways and scored in the top 12%.  
  • Our paper on improving cancer molecular diagnostics (MolDx) reports using eye tracking made it to the prestigious list presented at the Biomedical and Health Informatics Year in Review at the 2018 Annual AMIA Symposium ! Dr. James J. Cimino showcased contributions that represented the most influential or significant work published during the period of September 2017 through September 2018. This paper was authored by authored by Vishakha Sharma, Bob Beckman, Shruti Rao, Peter McGarvey, Subha Madhavan from ICBI and collaborators from the Medstar Research Institute.
  • ICBI faculty Drs Yuriy Gusev and Peter McGarvey, together with Dr. Bassam Haddad conductued a two day workshop on Demystifying Biomedical Big data based on the edX online Massive Online Course of the same name in Nov 2018. This workshop was conducted as part of the The 13th Annual BCERP Meeting – Understanding the Link between the Environment and Breast Cancer.
  • Dr. Yuriy Gusev conducted a workshop titled ‘Translational Immuno-Oncology in the Age of Big Data – A Bioinformatics Perspective’ at the Immuno Oncology Summit in Boston in Aug 2018. He also conducted a workshop about ‘Data Analytics for Precision Medicine: methods. tools and resources‘ at the 2018 National Institute of Nursing Research Boot Camp in July 2018
  • ICBI offers workshops and training through the year to nurture the next generation of informaticians. In 2018, we conducted three pre-symposium workshops in Immuno-oncology informatics, data visualization in R and EHR data mining. Other training condcuted included topics such as RedCap, G-DOC. 
  • Every year, the Innovation Center for Biomedical Informatics (ICBI) hosts The Annual Big Data in Biomedicine Symposim at Georgetown University. 2018 marked the Seventh Annual Big Data in Biomedicine Symposium at Georgetown University, which brought together over 350 innovators, research scientists, clinicians, educators, and students to exchange ideas, learn new methodologies, and network. Read a full summary of our symposium. Download the presentations and pictures!

2018

(August 2018 ) Large collection of brain cancer data now easily, freely accessible to global researchers. A valuable cache of #BrainCancer biomedical data has been made freely available to researchers worldwide. Read more here and here.

View a full collection of articles about this dataset.

(February 2018) Our work in Natural Language Processing and Text Mining Tools was profiled in February on Health Data Management.com.


2017

On Friday, October 27th, 2017 our 6th Annual Biomedical Informatics Symposium will take place at the GeorgetownUniversity Conference Center and Hotel. This one-day event will include talks by academic, industry, and government leaders in clinical and translational sciences who will highlight technologies, applications of informatics science and tools to advance precision medicine. This symposium will bring together a dynamic community of innovators, research scientists, clinicians, program managers, educators, and students to exchange ideas and learn new methodologies. The symposium also offers an opportunity to network and socialize with colleagues during the evening reception and poster session.  This year’s symposium will include sessions on cancer  networks, machine learning. Artificial intelligence and other emerging technologies in healthcare and precision medicine as well as a panel discussion on current and future needs for education programs in biomedical informatics and data science. We are delighted to have Dr. Patricia Brennan, NLM Director as the keynote speaker.

Demystifying Biomedical Big Data: A User’s Guide,” a free new massive open online course (MOOC) directed by Georgetown faculty Drs. Bassem Haddad, Yuriy Gusev and Peter McGarvey, will launch on online educational platform edX on February 14, 2017. Watch the trailer for this course. Please register to attend.


2016

ICBI’s 5th Annual Biomedical Informatics Symposium will be held on Friday, October 14, 2016 at the Georgetown University Conference Center. Dr. Jacob Corn from University of California, Berkeley will deliver the keynote address. Register to attend the 5th Annual Symposium and to see more information about abstract submission for this year’s event.

ICBI is hosting its next Biomedical Data Science MeetUp on May 5, 2016 at Georgetown University’s campus Epicurean and Company from 6:15pm – 8:00pm. Our invited speakers Kris Schulz From Duke Medical and Alex Ulvila from SynGlyphX will talk about ‘Covering Insight in Complex Medical Data Using Interactive Data Visualization’, followed by a networking session with food and drinks. For further details and registration, please visit Biomedical Data Science Meetup and join us!

Genome Web’s Q & A with Subha Madhavan at the Amia Joint Summits 2016– 3/2016

HIMSS’16: A Bold Shift Towards Precision Medicine– 3/2016

Our G-DOC Plus portal is listed among many other R & D resources at the NCI Data catalog site.

Gene Family Turns Cancer Cells into Aggressive Stem Cells that Keep Growing– 2/2016

The Hoya: Lombardi Researchers Study Cancer Genes– 2/19/2016

Cancer “Moonshot’ Needs Informatics– 1/2016


2015

GUMC News: Triple Negative Brest Cancer in African-American Women has Distinct Difference – 4/22/2015

Amarantus Options Blood-Based Alzheimer’s Biomarkers from Georgetown- 1/15/2015


2014

The 3rd annual Biomedical Informatics symposium at Georgetown was a huge success with over 300 participants and a poster session that included over 40 selected scientific projects from Georgetown, affiliated local universities, industry sponsors, and international collaborators. Keynote speaker, Dr. Atul Butte, MD PhD from Stanford University, inspired the crowd with ideas for transforming big data into clinical applications, much of which is happening now in transition to a more patient-controlled healthcare system. “Big data in biomedicine is the most promising platform for entrepreneurship,” he stated. Ruesch Center director, Dr. John Marshall, MD, presented a special session on “Finding Value in Cancer Care” where he illustrated the different stakeholder interests that can be a barrier in applying the best and most cost efficient care.

Georgetown University Medical Center (GUMC) executive leadership provided introductory remarks and chaired the sessions, including GUMC Dean of Research, Dr. Bob Clarke, PhD; Georgetown CTSA director, Dr. Joseph Verbalis, MD; Director of the Lombardi Comprehensive Cancer Center (LCCC), Dr. Lou Weiner, MD; and LCCC deputy director, Dr. Michael Atkins, MD. The plenary session, “Science on the Cloud” was chaired by Dr. Ian Foster, director of the Computation Institute, University of Chicago and Argonne National Laboratory.

The program included talks from world-renowned speakers discussing immunotherapies, big data applications in healthcare, cloud computing, a new paradigm for cancer research and care, and many other related topics. Networking as always was one of the most important outcomes of the symposium with numerous opportunities for interaction with colleagues in academia and industry.

The symposium program committee included Subha Madhavan (Symposium Chair), Yuriy Gusev (Poster Session), Adil Alaoui (Sponsorships), Laura Sheahan (Communications), Alfreda Walker (Event Planning), Ming Tan and Ophir Frieder (Planning Committee). We are very grateful for the support from numerous sponsors and colleagues, who have enabled us to keep this event free for all registrants. See more highlights and pictures from the day!

American Association for the Advancement of Science (Aaas.Org) – Subha Madhavan, Director of the Innovation Center for Biomedical Informatics at the Georgetown University Medical Center, Discusses Current and Future Applications of Big Data Within the Biomedical Field, and the Potential Challenges Big Data Might Confer to Biomedical Research and Patient Care.

The term “Big Data” is a hot phrase in a variety of sectors, from the biomedical and environmental sciences to team sports. But what is “Big Data” and how is it different from other kinds of data? How is Big Data being used, and what challenges does it bring? To answer these questions, we have spoken to scientists, scholars and big data gurus. We will share their responses to these questions through a series of blog posts leading up to the AAAS Center for Science, Technology, and Security Policy (CSTSP) and Federal Bureau of Investigation’s public event on April 1, “Big Data, Life Sciences, and National Security.”

Today’s expert, Subha Madhavan, Director of the Innovation Center for Biomedical Informatics at the Georgetown University Medical Center, discusses current and future applications of Big Data within the biomedical field, and the potential challenges Big Data might confer to biomedical research and patient care. 

Washington Post: Infusing Data into Cancer Therapy (new window)

Subha Madhavan has worked 60-hour weeks regularly for the past 10 years, and she doesn’t show any sign of slowing down. Madhavan splits her time between two main jobs — one as director of the Innovation Center for Biomedical Informatics at the Georgetown University Medical Center, and the other, more recently, as the chief data officer at Perthera, a McLean-based cancer therapy advisory service. She is also an associate professor of oncology at Georgetown, and leads a Georgetown-Howard University joint clinical research program for students.

How does she have time for it all? The Potomac resident said she gets in a couple of hours of work before her husband and 10-year-old son wake up in the morning, and another few after they go to sleep. She spends a few days a week at Georgetown and the remainder at Perthera. But when she’s on the move, she’s accessing medical databases on her iPhone, videoconferencing or advising her team over the phone. Throughout her busy career, Madhavan has had one goal: to bring computer science into medical treatment.

Madhavan is a proponent of “precision therapy” — a medical approach that assumes patients are unique, and some are more likely to respond to treatment than others because of genetic or environmental factors. After analyzing large volumes of data about past patients, doctors can better advise current patients about which treatments are likely to work, she thinks. At Perthera — a mashup of “personal” and “therapy” — Madhavan oversees the software-based processing of tissue samples. Click on the link above to read the full article.


2013

Multi-omics analysis of early stage colorectal cancer

The use and benefit of adjuvant chemotherapy to treat stage II colorectal cancer (CRC) patients is not well understood since the majority of these patients are cured by surgery alone. Identification of biological markers of relapse is a critical challenge to effectively target treatments to the ~20% of patients destined to relapse. We have integrated molecular profiling results of several “omics” data types to determine the most reliable prognostic biomarkers for relapse in CRC using data from 40 stage I and II CRC patients. We identified 31 multi-omics features that highly correlate with relapse. The data types were integrated using multi-step analytical approach with consecutive elimination of redundant molecular features. For each data type a systems biology analysis was performed to identify pathways biological processes and disease categories most affected in relapse. The biomarkers detected in tumors urine and blood of patients indicated a strong association with immune processes including aberrant regulation of T-cell and B-cell activation that could lead to overall differences in lymphocyte recruitment for tumor infiltration and markers indicating likelihood of future relapse. The immune response was the biologically most coherent signature that emerged from our analyses among several other biological processes and corroborates other studies showing a strong immune response in patients less likely to relapse.

The Georgetown University Medical Center (GUMC) Newsletter featured the 2nd Annual Georgetown Biomedical Informatics symposium hosted by ICBI. Read the article on GUMC’s website. (new window)

Symposium Drives Connections Between Big Data and Precision Medicine

Sister Grace Miriam Usala (M’16) (new window) sits squarely at the intersection of two related –- but still somewhat disconnected –- fields.

A medical student at Georgetown University School of Medicine (new window), Usala is also simultaneously pursuing her master’s degree in systems medicine through a unique joint MD/MS program offered at Georgetown.

Through this two-year-old program, Usala is immersing herself for an entire academic year in the informatics-driven and computational side of medicine – in other words, in learning how to make sense of massive quantities of patient data in a way that will actually make a difference in patient care. It is a new paradigm, to be sure, and Usala readily admits she is not quite sure how this convergence will play out in her medical career.

Seeking more information, perspective and clarity, Usala eagerly attended the 2nd Annual Biomedical Informatics Symposium on “Big Data in Precision Medicine,” an all-day event held at Georgetown University Oct. 11 that convened the leading thinkers in the fields of genomics, informatics and computational analysis.

Igniting New Collaborations

The Innovation Center for Biomedical Informatics (ICBI), part of Georgetown University Medical Center (new window), hosted the event, which drew nearly 250 people. ICBI is an academic hub for research in the field of data science to facilitate a more individualized approach to health care — or what has come to be known as precision medicine.

The rich and varied content included two prominent keynote speakers: Stephen Friend, MD, PhD, president of Seattle-based Sage Bionetworks, and Eric Hoffman, PhD, director of the Research Center for Genetic Medicine at Children’s National Medical Center in Washington.

“Our main mission was to bring together, not just people from our Georgetown community, but from an array of institutions to hopefully ignite new ideas and collaborations,” said ICBI Director Subha Madhavan, PhD, (new window) who is also a professor at Georgetown Lombardi Comprehensive Cancer Center (new window) and head of the cancer center’s clinical informatics group.

“If you look around this room, you will see physicians, bench researchers and technologists; typically we would bring these teams together only for specific projects,” Madhavan said. “But I find it very inspiring to have them in one place for a day so we can collectively think about creative and novel solutions [to data problems] that are outside our individual fields.” This year’s symposium drew about 100 more people than last year’s — a fact Madhavan attributes to a slow but steady groundswell of interest in the intersection of medicine and informatics.

Bridging the Divide

Usala said this type of conference helps her understand how the practice of medicine is already incorporating bioinformatics in the patient care and clinical research and visualize how it might look if the clinical and informatics communities were more harmoniously integrated.

“As someone just starting in medicine, I think about how to be of service. I know I want to be with patients — I am not interested in a tenure track [in informatics] — however I am looking for ways that this information can be applied to a future clinical practice,” she said.

Usala said hearing from experts at an event such as that organized by ICBI gives her hope that bridging the divide between these two great fields may be more within reach than she realized.

“While it will take a while for all this to be translated into clinical practice, it is essential that we seek out the clinical relevance of this. I think such [events] as this are important stepping blocks,” she said.

By Lauren Wolkoff, GUMC Communications

Big Data in Precision Medicine was the focus of the 2nd Annual Biomedical Informatics Symposium at Georgetown, which drew nearly 250 people to hear about topics from direct-to-consumer (DTC) testing to mining data from Twitter.

The morning plenary on Genomics and Translational Medicine was kicked off by Stephen Friend, MD, PhD, President, Co-founder, and Director of Sage Bionetworks who discussed the “discontinuity between the state of our institutions and the state of our technology.” This disconnect stems from the way results are presented in the literature and compared with one another in different scenarios, and sometimes interpreted into the clinic. “We are going to get different answers at the DNA, RNA, and functional levels,” said Friend, and different groups working on the same data can get different answers because science “context dependent” – dependent on the samples, technologies, and statistical parameters. Our minds are wired for a “2D narrative” but the fact is we are all just “alchemists.”

Friend is a champion of open data sharing and turning the current system on its head. We need “millions of eyes looking at biomedical data…not just one group, it’s immoral to do so,” Friend said. We need to get rid of the paradigm, “I can’t tell you because I haven’t published yet.” He said that GitHub has over 4M people sharing code with version tracking, and in fact hiring managers for software engineering jobs are more likely to look for a potential candidate’s work on GitHub than to considering credentials on a CV.

Sage created Synapse, a collaborative and open platform for data sharing, which he hopes could be the GitHub for biomedical scientists. He would like to see large communities of scientists worldwide working together on a particular problem and sharing data in real time. As an example of this sort of effort, check out the Sage Crowdsourcing genetic prediction of clinical utility in the Rheumatoid Arthritis Responder Challenge. His excitement for this future model for large scale collaboration was palpable in his closing remarks—a prediction for a future Nobel prize for “theoretical medicine.”

The afternoon plenary on Big Data in Biomedicine was led by a keynote talk from Eric Hoffman, PhD, Director of the Research Center for Genetic Medicine at Children’s National Medical Center who discussed “data integration in systems biology” -which is a topic very close to the heart of ICBI. He presented a new tool, miRNAVis, to integrate and visualize microRNA and mRNA expression data, which he referred to as “vertical” data integration or the integration of heterogeneous data types. This tool will soon be released for public use. Hoffman is considered one of the top world experts in muscular dystrophy research, having cloned the dystrophin gene in Louis Kunkel’s lab in 1987. He has made an enormous contribution to research in this field along with dedicating countless hours to volunteering with children affected by the horrible disease. He discussed a very exciting project in his lab on a promising new drug – VBP15, which has anti-inflammatory properties, and shows strong inhibition of NF-κB, and repair of skeletal muscle. Most importantly, VBP15 does not have the side effects of glucocorticoids, which are currently the standard treatment for Duchenne muscular dystrophy.

Hoffman said this new drug may potentially be effective against other chronic inflammatory diseases. Let’s hope this drug will make it into clinical trial testing very soon!

More information about the keynote and other talks can be found on ICBI’s Twitter feed (new window) and at #GUinformatics (new window), which provided snapshots of the day.


2012

IPad Application Makes Boring Data Collection History- 12/3/2012

The Georgetown University Medical Center (GUMC) Newsletter featured a nice article on the first Georgetown Biomedical Informatics symposium hosted by ICBI on October 12, 2012. Read it on GUMC’s website (new window).

Informatics has become an essential component of modern medicine.  Properly employed, it is the key that allows us to unravel the secrets of genomic and molecular data with the goal of improving patient care.

Without it, the vast amount of biomedical data available today to researchers and clinicians lacks organization and any meaningful relevance for translation to clinical knowledge and patient care.

Georgetown hosted a symposium to explore the immense challenges and opportunities in the field of biomedical informatics at a symposium held October 12.

The symposium was the inaugural event held by the Innovation Center for Biomedical Informatics (ICBI), a new center launched this past summer at Georgetown University Medical Center. The center was established as an academic hub for innovative research in the field of biomedical informatics, with the goal of enabling a more individualized approach to health care based on a patient’s molecular makeup.

Era of ‘Big Data’

In this era of so-called “big data”, with an increasing volume and rapid output of genomics and other molecular information, scientists need more sophisticated tools to rapidly integrate, analyze and apply it, according to ICBI Director Subha Madhavan, Ph.D.

“How do you go from terabytes of data to those seven or eight data elements that you want to put in front of a basic scientist or a clinician to make effective decisions?” Madhavan said in her remarks.

The answer is not simple, and requires a multidisciplinary effort involving informaticians, statisticians, computer scientists, basic scientists and clinicians, she said.

“Our vision is to bring these groups of people together to enhance translational research and clinical care into a multidisciplinary and collaborative approach that will ultimately enable a more individualized approach to health care,” Madhavan said.

Sorting Genetic Needles from the Haystack

The day-long symposium featured opening remarks from Louis M. Weiner, M.D., director of Georgetown Lombardi Comprehensive Cancer Center, and Robert Clarke, Ph.D., D.Sc., dean for research at Georgetown University Medical Center.

There were two keynote presentations: John Quackenbush, Ph.D., professor of computational biology and bioinformatics at the Harvard School of Public Health, and John Niederhuber, M.D., executive vice president and CEO of Inova Translational Medicine Institute and former director of the National Cancer Institute.

As Quackenbush phrased it, the real challenge of biomedical informatics lies in convening the right people and creating the right tools to “begin to sort the genetic needles from the haystack.”

The predecessor to the ICBI, the clinical informatics group, was first established at Georgetown Lombardi in 2008. The clinical informatics group developed the Georgetown Database of Cancer (G-DOC®), a cutting-edge software platform that allows researchers and clinicians to analyze genomic data across numerous cancer studies and clinical trials.

This event was co-sponsored by the Georgetown-Howard Universities Center for Clinical and Translational Science,Georgetown Center for Cancer Systems Biology and Georgetown Lombardi Comprehensive Cancer Center. 

By Lauren Wolkoff, Georgetown Lombardi Communications 

Co-sponsored by Georgetown-Howard Universities Center for Clinical and Translational Science (GHUCCTS) & Georgetown Center for Cancer Systems Biology (CCSB)

October 12, 2012

The first annual Georgetown Informatics Symposium  will serve to both introduce and showcase several exciting applications in the field of biomedical informatics to the Georgetown University community. This free, one-day event will include a variety of talks by leaders in the field of clinical and translational sciences who will highlight the applications of informatics tools and resources that can help to advance research from bench to bedside.

Agenda

7:30 – 8:30 am:  Registration Check-In and Continental Breakfast

8:30-8:45 am:  Dr. Louis Weiner, Director, Lombardi Cancer Center: Welcome message

8:45-9:00 am:  Dr. Robert Clarke, Dean of Research: Overview of research priorities at GU

9:00-9:15 am:  Dr. Subha Madhavan, Director ICBI: Informatics at Georgetown

Session 1:  Informatics Enables Translational Research (Chair: Dr. Subha Madhavan, Georgetown)

9:15 – 10:00 am: Keynote Speaker:  Dr. John Quackenbush, Harvard School of Public Health

10:00-10:30 am:  Coffee Break

10:30-11:00 am:  Dr. Kenna Shaw – Director, The Cancer Genome Atlas Program Office, NCI

The Cancer Genome Atlas:  A Community Resource in Search of a Community

11:00-11:30 am:  Dr. ShaAvhrée Buckman, Director, Office of Translational Sciences, FDA

11:30-12:00 pm:  Dr. Dan Gallahan – Project Director, Integrative Cancer Biology Program, NCI

Unraveling the Complexity of Cancer

12:00-1:00 pm:  Lunch and Informal Poster Viewing

1:00 – 1:45 pm: Keynote Speaker:  Dr. John Niederhuber, Inova Translational Medicine Institute

Session 2:  Technology Driven Systems Medicine (Chair: Dr. Ophir Frieder, Georgetown)

2:00-2:30 pm:  Dr. Joel Saltz, – Director, Center for Comprehensive Informatics, Emory University Chair and Professor, Department of Biomedical Informatics (Integrative Multi-Scale Biomedical Informatics)

2:30-3:00 pm:  Dr. Eliot Siegel, Professor, Diagnostic Radiology and Nuclear Medicine; Director, Baltimore VA Medical Center Radiology; Associate Vice Chairman for Informatics, University of Maryland (Artificial Intelligence and the Next Generation of Personalized Medicine)

3:00-3:30 pm:  Coffee Break and Informal Poster Viewing

Session 3:  Georgetown Resources (Chair: Dr. Sona Vasudevan, Georgetown)

3:30-4:00 pm:  Dr. Sona Vasudevan, Associate Professor; Director, MD/MS program in Systems Medicine (Informatics Educational Programs at GU)

4:00-4:20 pm:  Dr. Cathy Wu, Professor, Department of Oncology at GU (Protein Information Resource/Uniprot)

4:20-4:40 pm:  Dr. Yuriy Gusev, Sr. Bioinformatics Scientist at GU (G-DOC/G-CODE)

4:40-5:00 pm:  Rachel Kidwiler, Program Director and AVP, Research Information Systems at GU (REDCap)

5:00-5:20 pm:  Dr. Nawar Shara, – Director, Biostatistics and Epidemiology, MedStar Research Institute; Assistant Professor of Medicine, Georgetown University Medical School (Enterprise management of big data in healthcare (Explorys))

5:20-5:30 pm:  Closing Remarks, Dr. Subha Madhavan

Reception and Formal Poster Session

5:30-7:00 pm:  Wine reception, posters, and networking event (presenters please stand by your posters during the event) *Poster Awards will be announced at 6:30pm*

Biomedical Computational Review: Personalized Cancer Treatment- Seeking cures through Computation- 1/2/2012


2011

OnClive: Georgetown Lombardi Comprehensive Cancer Center: Innovation Steps Towards Individualized Treatment- 9/1/2011