1) Dr. Matthieu-P. Schapranow presented on Analyze Genomes, a federated in-memory database system for life sciences.
2) The system aims to provide real-time analysis of big medical data while maintaining sensitive data locally due to privacy and locality restrictions.
3) It incorporates local compute resources by installing worker nodes to process sensitive data locally and store results in local database instances, while being managed as part of a larger federated database system.
This presentation shares a 10 minute pitch of big data potentials in the field of life sciences as presented at the 2015 CMS Global Life Science Forum on Nov 9, 2015 in Frankfurt
Slides of the 2015 Bio Data World Congress show how our analyzegenomes.com services are combined to support precision medicine in the context of modern oncology treatment.
Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...Matthieu Schapranow
This presentation covers the "Analyze Genomes: A Federated In-Memory Computing Platform for Life Sciences" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
This presentation provides a brief overview of how in-memory database technology can be applied to support systems medicine approaches. For that, it shares real-world experiences, e.g. from the SMART project consortium funded by the German Federal Ministry of Education and Research.
This is the presentation as shown on the 2015 Future Convention in Frankfurt, Germany on Nov 23, 2015. It shows latest research results in the field of precision medicine using the Drug Response Analysis app of the http://we.analyzegenomes.com platform.
This presentation shares a 10 minute pitch of big data potentials in the field of life sciences as presented at the 2015 CMS Global Life Science Forum on Nov 9, 2015 in Frankfurt
Slides of the 2015 Bio Data World Congress show how our analyzegenomes.com services are combined to support precision medicine in the context of modern oncology treatment.
Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...Matthieu Schapranow
This presentation covers the "Analyze Genomes: A Federated In-Memory Computing Platform for Life Sciences" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
This presentation provides a brief overview of how in-memory database technology can be applied to support systems medicine approaches. For that, it shares real-world experiences, e.g. from the SMART project consortium funded by the German Federal Ministry of Education and Research.
This is the presentation as shown on the 2015 Future Convention in Frankfurt, Germany on Nov 23, 2015. It shows latest research results in the field of precision medicine using the Drug Response Analysis app of the http://we.analyzegenomes.com platform.
This presentation shows application examples of the analyzegenomes.com service for precision medicine. It was presented at 2016 HIMSS conference in Las Vegas, NV
The given presentation outlines services of the cloud platform "Analyze Genomes" enabling precision medicine. It was presented on the mHealth meets Diagnostics symposium in Berlin on Jun 21, 2016.
The given slide deck was presented on the 2017 Festival of Genomics in London, UK. It depicts how latest in-memory database technology supports clinicians in finding the best treatment options incorporating genetic data.
This presentation covers the final presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...Matthieu Schapranow
This presentation covers the "Analyze Genomes: Modeling and Executing Genome Data Processing Pipelines" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Processing of Big Medical Data in Personalized Medicine: Challenge or PotentialMatthieu Schapranow
Experience our AnalyzeGenomes.com services at the example of the Medical Knowledge Cockpit and how it can improve the daily work for researchers and physicians.
A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...Matthieu Schapranow
The slide deck "A Federated In-Memory Database Computing Platform Enabling Real-time Analysis of Big Medical Data" presented on May 17, 2017 at Intel Tech Talks hosted by SAPPHIRE 2017 in Orlando, FL is online available now.
AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital HealthMatthieu Schapranow
The slide deck of the presentation "AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital Health" of the 2017 BMBF All Hands Meeting in Karlsruhe are online available now.
Festival of Genomics 2016 London: Analyze Genomes: Real-world ExamplesMatthieu Schapranow
This presentation covers the "Analyze Genomes: Real-world Examples" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
ICT Platform to Enable Consortium Work for Systems Medicine of Heart FailureMatthieu Schapranow
The slide deck "ICT Platform to Enable Consortium Work for Systems Medicine of Heart Failure" was presented on Oct 5, 2016 at the 2016 e:Med Meeting on Systems Medicine in Kiel, Germany.
The given presentation was presented at SAPPHIRE 2017 in Orlando, FL on May 18, 2017. It highlights latest research results focusing on user-centered in-memory applications for precision medicine.
Patient Journey in Oncology 2025: Molecular Tumour Boards in PracticeMatthieu Schapranow
The slide deck was presented at the Bio Data World Congress in Basel on Dec. 04, 2019. It shares first results from the work in the HiGHmed consortium on the use case oncology.
This presentation covers the agenda of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...Matthieu Schapranow
This presentation covers the "Mining and Processing of Unstructured Medical Data" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Festival of Genomics 2016 London: Real-time Exploration of the Cancer Genome,...Matthieu Schapranow
This presentation covers the NCT presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
This presentation shows application examples of the analyzegenomes.com service for precision medicine. It was presented at 2016 HIMSS conference in Las Vegas, NV
The given presentation outlines services of the cloud platform "Analyze Genomes" enabling precision medicine. It was presented on the mHealth meets Diagnostics symposium in Berlin on Jun 21, 2016.
The given slide deck was presented on the 2017 Festival of Genomics in London, UK. It depicts how latest in-memory database technology supports clinicians in finding the best treatment options incorporating genetic data.
This presentation covers the final presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...Matthieu Schapranow
This presentation covers the "Analyze Genomes: Modeling and Executing Genome Data Processing Pipelines" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Processing of Big Medical Data in Personalized Medicine: Challenge or PotentialMatthieu Schapranow
Experience our AnalyzeGenomes.com services at the example of the Medical Knowledge Cockpit and how it can improve the daily work for researchers and physicians.
A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...Matthieu Schapranow
The slide deck "A Federated In-Memory Database Computing Platform Enabling Real-time Analysis of Big Medical Data" presented on May 17, 2017 at Intel Tech Talks hosted by SAPPHIRE 2017 in Orlando, FL is online available now.
AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital HealthMatthieu Schapranow
The slide deck of the presentation "AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital Health" of the 2017 BMBF All Hands Meeting in Karlsruhe are online available now.
Festival of Genomics 2016 London: Analyze Genomes: Real-world ExamplesMatthieu Schapranow
This presentation covers the "Analyze Genomes: Real-world Examples" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
ICT Platform to Enable Consortium Work for Systems Medicine of Heart FailureMatthieu Schapranow
The slide deck "ICT Platform to Enable Consortium Work for Systems Medicine of Heart Failure" was presented on Oct 5, 2016 at the 2016 e:Med Meeting on Systems Medicine in Kiel, Germany.
The given presentation was presented at SAPPHIRE 2017 in Orlando, FL on May 18, 2017. It highlights latest research results focusing on user-centered in-memory applications for precision medicine.
Patient Journey in Oncology 2025: Molecular Tumour Boards in PracticeMatthieu Schapranow
The slide deck was presented at the Bio Data World Congress in Basel on Dec. 04, 2019. It shares first results from the work in the HiGHmed consortium on the use case oncology.
This presentation covers the agenda of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...Matthieu Schapranow
This presentation covers the "Mining and Processing of Unstructured Medical Data" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Festival of Genomics 2016 London: Real-time Exploration of the Cancer Genome,...Matthieu Schapranow
This presentation covers the NCT presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
What are today's challenges of big medical data and how can we use the immense data to turn it into potentials, e.g. for precision medicine. Get insights in application examples, where big medical data are incorporated and how in-memory database technology can enable it instantaneous analysis.
Festival of Genomics 2016 London: Challenges of Big Medical Data?Matthieu Schapranow
This presentation covers the "Challenges of Big Medical Data" presentation of the 2016 Festival of Genomics workshop "Big Medical Data in Precision Medicine: Challenges or Opportunities?" on Jan 19, 2016 in London.
Hasso Plattner gave this presentation about how in-memory technology can support analysis of big medical data at the 2013 World Health Summit in Berlin. It consists real-world examples showing latest results of partners, such as the Hasso Plattner Institute, Stanford, Charité, and SAP. For background details, please refer to http://we.analyzegenomes.com
Course: Bioinformatics for Biomedical Research (2014).
Session: 1.2- Storing and Accessing Information. Databases and Queries.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
The given presentation showcases examples of how artificial intelligence technology can be used to improve the patient journey in the specific medical field of oncology.
Digital transformation of translational medicineEagle Genomics
Anthony Finbow, Executive Chairman, and William Spooner, Chief Science Officer, discuss Eagle Genomics' software product, marketed at pharmaceutical and biotech companies, which enables radical improvements in the productivity of scientific research.
tranSMART Community Meeting 5-7 Nov 13 - Session 3: transmart’s application t...David Peyruc
tranSMART Community Meeting 5-7 Nov 13 - Session 3: tranSMART’s Application to Clinical Biomarker Discovery Studies in Sanofi
Sherry Cao, Sanofi
This presentation will discuss challenges we are encountering in clinical biomarker discovery
study and how we are using tranSMART to help to address them.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Analyze Genomes: A Federated In-Memory Database System For Life Sciences
1. Analyze Genomes:
A Federated In-Memory Database System For Life Sciences
Dr. Matthieu-P. Schapranow
HPI Future SOC Lab Day, Potsdam, Germany
Nov 4, 2015
Generously supported by
2. ■ Online: Visit we.analyzegenomes.com for latest research results, tools, and news
■ Offline: Read more about it, e.g. High-Performance In-Memory Genome Data Analysis:
How In-Memory Database Technology Accelerates Personalized Medicine, In-Memory
Data Management Research, Springer, ISBN: 978-3-319-03034-0, 2014
■ In Person: Join us for “Festival of Genomics” Jan 19-21, 2016 in London, UK
Important things first:
Where do you find additional information?
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
A Federated In-
Memory Database
System For Life
Sciences
2
3. ■ Patients
□ Individual anamnesis, family history, and background
□ Require fast access to individualized therapy
■ Clinicians
□ Identify root and extent of disease using laboratory tests
□ Evaluate therapy alternatives, adapt existing therapy
■ Researchers
□ Conduct laboratory work, e.g. analyze patient samples
□ Create new research findings and come-up with treatment alternatives
The Setting
Actors in Oncology
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
3
A Federated In-
Memory Database
System For Life
Sciences
4. IT Challenges
Distributed Heterogeneous Data Sources
Human genome/biological data
600GB per full genome
15PB+ in databases of leading institutes
Prescription data
1.5B records from 10,000 doctors and
10M Patients (100 GB)
Clinical trials
Currently more than 30k
recruiting on ClinicalTrials.gov
Human proteome
160M data points (2.4GB) per sample
>3TB raw proteome data in ProteomicsDB
PubMed database
>24M articlesHospital information systems
Often more than 50GB
Medical sensor data
Scan of a single organ in 1s
creates 10GB of raw dataCancer patient records
>160k records at NCT A Federated In-
Memory Database
System For Life
Sciences
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
Chart 4
5. ■ Requirements
□ Real-time data analysis
□ Maintained software
■ Restrictions
□ Data privacy
□ Data locality
□ Volume of “big medical data”
■ Solution?
□ Federated In-Memory Database System vs. Cloud Computing
Software Requirements in Life Sciences
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
A Federated In-
Memory Database
System For Life
Sciences
5
6. Where are all those Clouds go to?
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
A Federated In-
Memory Database
System For Life
Sciences
6
Gartner's 2014 Hype Cycle for Emerging Technologies
7. Multiple Cloud Service Providers
Schapranow, BIRTE/
VLDB 2015, Aug 31,
2015
A Federated In-
Memory Database
System For Life
Sciences
7
Local System
C loud
Synchronization
Service
R
Local Storage
Local
Synchronization
Service
R
Shared
C loud
Storage
Site A
Local System
R
Local Storage
Local
Synchronization
Service
Site B
C loud
Synchronization
Service
Shared
C loud
Storage
R
Cloud Provider
Site A
C loud Provider
Site B
8. Federated In-Memory Database (FIMDB)
Incorporating Local Compute Resources
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
A Federated In-
Memory Database
System For Life
Sciences
8
Site B
Federated In-M em ory
D atabase Instance,
Algorithm s, and
Applications M anaged
by Service Provider
CloudService
Provider
Site A
FIMDB
A.1
FIMDB
A.2
FIMDB
A.3
FIMDB
A.4
FIMDB
A.5
FIMDB
B.1
FIMDB
B.2
FIMDB
B.3
FIMDB
C.1
Federated In-M em ory
Database Instances
M aster Data
M anaged by
Service Provider
Sensitive D ata
reside at Site
■ Aim: Provision of managed Analyze
Genomes services while sensitive data
remains locally
■ Process steps
□ Connect existing resources to join
federated database landscape
□ Install Workers on local nodes
to process sensitive data and store
results in local DB instances
9. Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
Analyze Genomes:
Real-time Analysis of Big Medical Data
9
In-Memory Database
Extensions for Life Sciences
Data Exchange,
App Store
Access Control,
Data Protection
Fair Use
Statistical
Tools
Real-time
Analysis
App-spanning
User Profiles
Combined and Linked Data
Genome
Data
Cellular
Pathways
Genome
Metadata
Research
Publications
Pipeline and
Analysis Models
Drugs and
Interactions
A Federated In-
Memory Database
System For Life
Sciences
Drug Response
Analysis
Pathway Topology
Analysis
Medical
Knowledge CockpitOncolyzer
Clinical Trial
Recruitment
Cohort
Analysis
...
Indexed
Sources
10. Use Case:
Identification of Best Treatment Option for Cancer Patient
■ Patient: 48 years, female, non-smoker, smoke-free environment
■ Diagnosis: Non-Small Cell Lung Cancer (NSCLC), stage IV
1. Surgery to remove tumor
2. Tumor sample is sent to laboratory to extract DNA
3. DNA is sequenced resulting in up to 750 GB of raw data per sample
4. Processing of raw data to perform analysis
5. Identification of relevant driver mutations using international medical knowledge
6. Informed decision making
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
A Federated In-
Memory Database
System For Life
Sciences
10
11. From Raw Genome Data to Analysis
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
A Federated In-
Memory Database
System For Life
Sciences
■ Sequencing: Acquire digital DNA data
■ Alignment: Reconstruction of complete
genome with snippets
■ Variant Calling: Identification of genetic
variants
■ Data Annotation: Linking genetic variants
with research findings
Chart 11
12. Standardized Modeling of
Genome Data Analysis Pipelines
■ Graphical modeling of analysis pipelines
□ Supports reproducible research
□ BPMN-2.0-compliant
■ Extension of modeling notation by
□ Modular structure
□ Degree of parallelization
□ Parameters/variables
■ Pipelines stored in IMDB and executed through
our worker framework
A Federated In-
Memory Database
System For Life
Sciences
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
Chart 12
13. Execution of
Genome Data Analysis Pipelines
■ Dedicated scheduler for optimized pipeline execution
□ Assigns tasks to workers
□ Recovery of pipeline status
■ Scheduler uses IMDB logs for workload estimation
■ Different scheduling algorithms available, e.g.
□ High Throughput
□ Priority First
□ User-/Group-based
A Federated In-
Memory Database
System For Life
Sciences
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
IMDB
Pipeline TasksScheduler
Worker
Worker
Worker
Worker
Pipeline Subtasks
Events
Data
Chart 13
14. Real-time Analysis of
Genetic Variants
■ Genome Browser enables detailed exploration of genome loci
and associated associations
■ Ranks variants accordingly to known diseases
■ Integrates latest international medical
knowledge, annotations, and literature
■ Provides links back to primary data sources,
e.g. EBI, NCBI, dbSNP, and UCSC
A Federated In-
Memory Database
System For Life
Sciences
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
Chart 14
15. Medical Knowledge Cockpit
■ Uses patient specifics to provide more adequate results
■ Immediate exploration of relevant information, e.g.
□ Gene descriptions
□ Molecular impact and related pathways
□ Scientific publications
□ Suitable clinical trials
■ Translates manual searching for hours or days into finding
A Federated In-
Memory Database
System For Life
Sciences
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
Chart 15
16. Drug Response Analysis
■ Incorporate knowledge about historic cases to optimize
treatment of current cases
■ Enables real-time exploration of Xenograft experiments
■ Configurable medical model to predict drug response
A Federated In-
Memory Database
System For Life
Sciences
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
Chart 16
17. ■ Global Medical Knowledge (Master’s project)
■ Detect cardiovascular diseases and evaluate
treatment options (DHZB)
■ Use health insurance data to improve health
care research (AOK)
■ Pharmacogenetics (Bayer)
■ Generously supported by
Join us for upcoming projects!
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
A Federated In-
Memory Database
System For Life
Sciences
17
Interdisciplinary
Design Thinking
Teams
You?
18. ■ For patients
□ Identify relevant clinical trials and medical experts
□ Become an informed patient
■ For clinicians
□ Identify pharmacokinetic correlations
□ Scan for similar patient cases, e.g. to evaluate therapy efficiency
■ For researchers
□ Enable real-time analysis of medical data, e.g. assess pathways
to identify impact of detected variants
□ Combined mining in structured and unstructured data, e.g. publications,
diagnosis, and EMR data
What to Take Home?
Test it Yourself: AnalyzeGenomes.com
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
18
A Federated In-
Memory Database
System For Life
Sciences
19. Keep in contact with us!
Hasso Plattner Institute
Enterprise Platform & Integration Concepts (EPIC)
August-Bebel-Str. 88
14482 Potsdam, Germany
Dr. Matthieu-P. Schapranow
Program Manager E-Health
schapranow@hpi.de
Schapranow/Perscheid,
FSOC Lab Day, Nov 4,
2015
A Federated In-
Memory Database
System For Life
Sciences
19
Cindy Perscheid
Research Assistant
cindy.perscheid@hpi.de