Talk entitled "from the Virtual Human to a Digital Me" presented at the Virtual Physiological Human 2012 Conference held at IET Savoy, Savoy Place, London, 18-20 September 2012.
A detailed summary of Data-driven systems medicine workshop which took place on June 11-12th at the Cardiff University Brain Research Imaging Centre. The event brought together experts from Academia and Industry who all recognised the potential that AI, ML and systems modelling can unlock for personalised medicine. The event was sponsored by DELL EMC and Partners. Partners included Supercomputing Wales, Advanced Research Computing @ Cardiff, Systems Immunity Research Institute, Cardiff Institute of Tissue Engineering and Research and British Society of Immunology South Wales Group.
In this work, we describe the field research, design, and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual interface for multimodal diagnosis of breast cancer (BreastScreening); 2) Insights from the field comparison of Single-Modality vs Multi-Modality screening of breast cancer diagnosis with 31 clinicians and 566 images; and 3) The visualization of the two main types of breast lesions in the following image modalities: (i) MammoGraphy (MG) in both Craniocaudal (CC) and Mediolateral oblique (MLO) views; (ii) UltraSound (US); and (iii) Magnetic Resonance Imaging (MRI).
Understanding users’ latent intents behind search queries is essential for satisfying a user’s search needs. Search intent mining can help search engines to enhance its ranking of search results, enabling new search features like instant answers, personalization, search result diversification, and the recommendation of more relevant ads. Consequently, there has been increasing attention on studying how to effectively mine search intents by analyzing search engine query logs. While state-of-the-art techniques can identify the domain of the queries (e.g. sports, movies, health), identifying domain-specific intent is still an open problem. Among all the topics available on the Internet, health is one of the most important in terms of impact on the user and it is one of the most frequently searched areas. This dissertation presents a knowledge-driven approach for domain-specific search intent mining with a focus on health-related search queries.
First, we identified 14 consumer-oriented health search intent classes based on inputs from focus group studies and based on analyses of popular health websites, literature surveys, and an empirical study of search queries. We defined the problem of classifying millions of health search queries into zero or more intent classes as a multi-label classification problem. Popular machine learning approaches for multi-label classification tasks (namely, problem transformation and algorithm adaptation methods) were not feasible due to the limitation of label data creations and health domain constraints. Another challenge in solving the search intent identification problem was mapping terms used by laymen to medical terms. To address these challenges, we developed a semantics-driven, rule-based search intent mining approach leveraging rich background knowledge encoded in Unified Medical Language System (UMLS) and a crowd sourced encyclopedia (Wikipedia). The approach can identify search intent in a disease-agnostic manner and has been evaluated on three major diseases.
While users often turn to search engines to learn about health conditions, a surprising amount of health information is also shared and consumed via social media, such as public social platforms like Twitter. Although Twitter is an excellent information source, the identification of informative tweets from the deluge of tweets is the major challenge. We used a hybrid approach consisting of supervised machine learning, rule-based classifiers, and biomedical domain knowledge to facilitate the retrieval of relevant and reliable health information shared on Twitter in real time. Furthermore, we extended our search intent mining algorithm to classify health-related tweets into health categories. Finally, we performed a large-scale study to compare health search intents and features that contribute in the expression of search intent from 100+ million search queries from smarts devices (smartphones/tablets) and personal computers (desktops/laptops)
A detailed summary of Data-driven systems medicine workshop which took place on June 11-12th at the Cardiff University Brain Research Imaging Centre. The event brought together experts from Academia and Industry who all recognised the potential that AI, ML and systems modelling can unlock for personalised medicine. The event was sponsored by DELL EMC and Partners. Partners included Supercomputing Wales, Advanced Research Computing @ Cardiff, Systems Immunity Research Institute, Cardiff Institute of Tissue Engineering and Research and British Society of Immunology South Wales Group.
In this work, we describe the field research, design, and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual interface for multimodal diagnosis of breast cancer (BreastScreening); 2) Insights from the field comparison of Single-Modality vs Multi-Modality screening of breast cancer diagnosis with 31 clinicians and 566 images; and 3) The visualization of the two main types of breast lesions in the following image modalities: (i) MammoGraphy (MG) in both Craniocaudal (CC) and Mediolateral oblique (MLO) views; (ii) UltraSound (US); and (iii) Magnetic Resonance Imaging (MRI).
Understanding users’ latent intents behind search queries is essential for satisfying a user’s search needs. Search intent mining can help search engines to enhance its ranking of search results, enabling new search features like instant answers, personalization, search result diversification, and the recommendation of more relevant ads. Consequently, there has been increasing attention on studying how to effectively mine search intents by analyzing search engine query logs. While state-of-the-art techniques can identify the domain of the queries (e.g. sports, movies, health), identifying domain-specific intent is still an open problem. Among all the topics available on the Internet, health is one of the most important in terms of impact on the user and it is one of the most frequently searched areas. This dissertation presents a knowledge-driven approach for domain-specific search intent mining with a focus on health-related search queries.
First, we identified 14 consumer-oriented health search intent classes based on inputs from focus group studies and based on analyses of popular health websites, literature surveys, and an empirical study of search queries. We defined the problem of classifying millions of health search queries into zero or more intent classes as a multi-label classification problem. Popular machine learning approaches for multi-label classification tasks (namely, problem transformation and algorithm adaptation methods) were not feasible due to the limitation of label data creations and health domain constraints. Another challenge in solving the search intent identification problem was mapping terms used by laymen to medical terms. To address these challenges, we developed a semantics-driven, rule-based search intent mining approach leveraging rich background knowledge encoded in Unified Medical Language System (UMLS) and a crowd sourced encyclopedia (Wikipedia). The approach can identify search intent in a disease-agnostic manner and has been evaluated on three major diseases.
While users often turn to search engines to learn about health conditions, a surprising amount of health information is also shared and consumed via social media, such as public social platforms like Twitter. Although Twitter is an excellent information source, the identification of informative tweets from the deluge of tweets is the major challenge. We used a hybrid approach consisting of supervised machine learning, rule-based classifiers, and biomedical domain knowledge to facilitate the retrieval of relevant and reliable health information shared on Twitter in real time. Furthermore, we extended our search intent mining algorithm to classify health-related tweets into health categories. Finally, we performed a large-scale study to compare health search intents and features that contribute in the expression of search intent from 100+ million search queries from smarts devices (smartphones/tablets) and personal computers (desktops/laptops)
Presentation that gives an overview of the impact of IT on radiology, including the growing role of biomarkers and artificial intelligence and deep learning on the (future) radiology profession. The shift to precision medicine and personalized care are explained, the reasons for a re-definition of radiology are addressed.
APPLYING THE HEALTH BELIEF MODEL TO CARDIAC IMPLANTED MEDICAL DEVICE PATIENTSIJNSA Journal
Wireless Implanted Medical Devices (WIMD) are helping millions of users experience a better quality of life. Because of their many benefits, these devices are experiencing dramatic growth in usage, application, and complexity. However, this rapid growth has precipitated an equally rapid growth of cybersecurity risks and threats. While it is apparent from the literature WIMD cybersecurity is a shared responsibility among manufacturers, healthcare providers, and patients; what explained what role patients should play in WIMD cybersecurity and how patients should be empowered to assume this role. The health belief model (HBM) was applied as the theoretical framework for a multiple case study which examined the question: How are the cybersecurity risks and threats related to wireless implanted medical devices being communicated to patients who have or will have these devices implanted in their bodies? The subjects of this multiple case study were sixteen cardiac device specialists in the U.S., each possessing at least one year of experience working directly with cardiac implanted medical device (CIMD) patients, who actively used cardiac device home monitoring systems. The HBM provides a systematic framework suitable for the proposed research. Because of its six-decade history of validity and its extraordinary versatility, the health belief model, more efficiently than any other model considered, provides a context for understanding and interpreting the results of this study. Thus, the theoretical contribution of this research is to apply the HBM in a setting where it has never been applied before, WIMD patient cybersecurity awareness. This analysis (using a multiple case study) will demonstrate how the HBM can assist the health practitioners, regulators, manufacturers, security practitioners, and the research community in better understanding the factors, which support WIMD patient cybersecurity awareness and subsequent adherence to cybersecurity best practices.
This is a case study prepared by Christina Lerouge for IBM Watson Health Data Movement for 2019. In this study, she covers four main points about IBM Watson: Dynamic Cancer-Care Solutions, Big Data Powerhouse, Data Into Reality: Oncology Landscape Video Review and Future Steps for IBM Watson.
Medical imaging is part of a changing medical environment, a changing
patient environment and consequently a new medical world. In the
recent decennium one of the most important changes in radiology is the
conversion from analogue to digital. In no time medical images have
become interchangeable through the digital highway and could be postprocessed
in a different location. Teleradiology has become a reality
since then. We have seen the maturation of commercial international
teleradiology companies offering a wide portfolio of services. Another
aspect is the availability of image data for all medical specialties beyond
radiology and beyond the regular medical disciplines. An increasing
number of surgical or oncological specialties and even pharmaceutical
companies increasingly use image data to prepare a strategy for
operative procedures, to choose the right therapy, to decide which
prosthesis to the best to use, for follow-up or for post-processing
purposes. They are supported by many new techniques and software.
An increasing number of medical computer applications such as complex
navigation and visualisation tools based upon digital images is already
in clinical use or under development. Another trend is the increasing
interest in E-health and telemedicine in Europe, also among European
policy makers. Now we see mobile health that brings care directly into
the patient environment. The purpose of this presentation is to give a
comprehensive overview of and insight into these new developments and
to create awareness among radiologists of the increasing importance of
integration of medical imaging in a multidisciplinary environment.
Presentation that gives an overview of the impact of IT on radiology, including the growing role of biomarkers and artificial intelligence and deep learning on the (future) radiology profession. The shift to precision medicine and personalized care are explained, the reasons for a re-definition of radiology are addressed.
APPLYING THE HEALTH BELIEF MODEL TO CARDIAC IMPLANTED MEDICAL DEVICE PATIENTSIJNSA Journal
Wireless Implanted Medical Devices (WIMD) are helping millions of users experience a better quality of life. Because of their many benefits, these devices are experiencing dramatic growth in usage, application, and complexity. However, this rapid growth has precipitated an equally rapid growth of cybersecurity risks and threats. While it is apparent from the literature WIMD cybersecurity is a shared responsibility among manufacturers, healthcare providers, and patients; what explained what role patients should play in WIMD cybersecurity and how patients should be empowered to assume this role. The health belief model (HBM) was applied as the theoretical framework for a multiple case study which examined the question: How are the cybersecurity risks and threats related to wireless implanted medical devices being communicated to patients who have or will have these devices implanted in their bodies? The subjects of this multiple case study were sixteen cardiac device specialists in the U.S., each possessing at least one year of experience working directly with cardiac implanted medical device (CIMD) patients, who actively used cardiac device home monitoring systems. The HBM provides a systematic framework suitable for the proposed research. Because of its six-decade history of validity and its extraordinary versatility, the health belief model, more efficiently than any other model considered, provides a context for understanding and interpreting the results of this study. Thus, the theoretical contribution of this research is to apply the HBM in a setting where it has never been applied before, WIMD patient cybersecurity awareness. This analysis (using a multiple case study) will demonstrate how the HBM can assist the health practitioners, regulators, manufacturers, security practitioners, and the research community in better understanding the factors, which support WIMD patient cybersecurity awareness and subsequent adherence to cybersecurity best practices.
This is a case study prepared by Christina Lerouge for IBM Watson Health Data Movement for 2019. In this study, she covers four main points about IBM Watson: Dynamic Cancer-Care Solutions, Big Data Powerhouse, Data Into Reality: Oncology Landscape Video Review and Future Steps for IBM Watson.
Medical imaging is part of a changing medical environment, a changing
patient environment and consequently a new medical world. In the
recent decennium one of the most important changes in radiology is the
conversion from analogue to digital. In no time medical images have
become interchangeable through the digital highway and could be postprocessed
in a different location. Teleradiology has become a reality
since then. We have seen the maturation of commercial international
teleradiology companies offering a wide portfolio of services. Another
aspect is the availability of image data for all medical specialties beyond
radiology and beyond the regular medical disciplines. An increasing
number of surgical or oncological specialties and even pharmaceutical
companies increasingly use image data to prepare a strategy for
operative procedures, to choose the right therapy, to decide which
prosthesis to the best to use, for follow-up or for post-processing
purposes. They are supported by many new techniques and software.
An increasing number of medical computer applications such as complex
navigation and visualisation tools based upon digital images is already
in clinical use or under development. Another trend is the increasing
interest in E-health and telemedicine in Europe, also among European
policy makers. Now we see mobile health that brings care directly into
the patient environment. The purpose of this presentation is to give a
comprehensive overview of and insight into these new developments and
to create awareness among radiologists of the increasing importance of
integration of medical imaging in a multidisciplinary environment.
Universal Design for Evaluation: Designing Evaluations to Include People with...Washington Evaluators
Washington Evaluators Brown Bag
by June Gothberg and Jennifer Sullivan-Sulewski
January 31, 2012
Evaluators are often tasked with insuring representative samples in their work. Many populations have been tagged as hard-to-reach and therefore make this task difficult in many evaluation efforts. People with disabilities and members of other vulnerable populations such as people who are homeless, chronically ill, economically disadvantaged, low literate, English language learners, elderly, and prisoners are frequently involved in or affected by evaluation efforts, regardless of the specific topic of the evaluation. Designing evaluations to include people with disabilities and other vulnerable populations is thus an essential skill for ensuring that these populations are fairly represented and included in the evaluation process. In the last two years, awareness has increased among evaluators at-large as to the importance of designing evaluation and data collection tools to include all people. Due to this, Universal Design has taken a forefront position. Out of this demand for assistance to increase capacity in this area, the idea for a Universal Design for Evaluation (UDE) checklist emerged. This session will introduce the seven principles of universal design, the UDE checklist, and their application to evaluation. Participants will add to their knowledge and skills to increase involvement for people with disabilities and other vulnerable populations in evaluation. The session will end with a discussion of next steps to increase partnerships between agencies, evaluators, and the American Evaluation Association.
June Gothberg is a researcher at Western Michigan University’s Connecting Careers Research Center where she is project technical assistance coordinator for the National Secondary Transition Technical Assistance Center focused on improving special education and transition services for students with disabilities.
Jennifer Sullivan-Sulewski is a Research Associate at the Institute for Community Inclusion, University of Massachusetts Boston. She has conducted or managed numerous research and evaluation projects, primarily related to day and employment services and supports for people with disabilities. She received her Ph.D. in Social Policy from Brandeis University in 2006.
Together they co-chair the Disabilities and Other Vulnerable Populations Topical Interest Group for the American Evaluation Association. Through this role, they co-produced the Universal Design for Evaluation model and the Universal Design for Evaluation checklist. This seminal model is fostering a paradigm to build capacity to include all individuals during the planning, implementation, analysis, and dissemination of evaluation.
Integrating Interaction Design Evaluation into Product DesignYingjie Chen
Formative evaluation plays an important role in the domain of interaction design (IXD). It occurs throughout the design and development processes, with the results of evaluation feeding back to revise the design. How important is formative evaluation in a product design process? Will this method obstruct creativity, or it can inspire and promote better design? In the fall of 2010, students from a senior-level product design course and a graduate-level interaction design course were grouped together to work on a GE Healthcare sponsored design project: home-based health monitors for individuals with Cerebral Palsy, Parkinson’s Disease, Multiple Sclerosis, and Arthritis. Product design students led the overall process of design: investigating the diseases, brainstorming the concepts and finalizing the design with stages of prototypes and computer models. IXD students acted in two roles: designing the interactive design components of the concepts and running formative evaluations iteratively to improve the outcome during the process. They adopted several evaluation methods, including usability testing, interface criticism, cognitive walkthrough, and heuristic evaluation at different stages to evaluate and improve the design outcomes. Instead of being an outside critic, they actively participated in the creation process. Product design students gained from the experience of working in a multi-role team, listening to the evaluation results, and integrating suggestions into their work. This paper reports the structure and outcomes of these design collaborations, highlights the gains and losses in the process, and most importantly, illustrates a potential path to conduct such design education in the future.
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
An Introduction to Bioinformatics
Drexel University INFO648-900-200915
A Presentation of Health Informatics Group 5
Cecilia Vernes
Joel Abueg
Kadodjomon Yeo
Sharon McDowell Hall
Terrence Hughes
Expert Panel on Data Challenges in Translational ResearchEagle Genomics
A panel of experts including Alexandre Passioukov, VP Translational Medicine at Pierre Fabre, Xose Fernandez, Chief Data Officer at Institut Curie, Abel Ureta-Vidal, CEO at Eagle Genomics share their first-hand experience of enabling translational research in pharmaceutical and biomedical organisations, and discuss the challenges around the establishment of streamlined, seamless data handling and governance to accelerate innovation.
Improving health care outcomes with responsible data scienceWessel Kraaij
Keynote presentation by Wessel Kraaij at the Dutch pattern recognition and impage processing society (NVPBV) 29/5/2018, Eindhoven.
This talk discusses
1. trends in health care and respondible data science and their intersection
2. Secure federated analytics on distributed data repositories
3. Generating clinically relevant hypotheses from patient forum discussions.
Precision and Participatory Medicine - Medinfo 2015 Panel on big data. Includes the proposal to use the term Expotype to characterise the Exposome of an individual. Electronic expo typing would refer to the automatic construction of individual expo types from electronic clinical records and other sources of environmental risk factor and exposure data.
apidays LIVE India - The digitisation of healthcare by Dr S.S. Lal, Global Fo...apidays
apidays LIVE India 2021 - Connecting 1.3 billion digital innovators
May 20, 2021
The digitisation of healthcare
Dr S.S. Lal, President of Global Foundation for Health and Hygiene
Welcome to the age of cognitive computing: where intelligent machines have
moved from the realms of science fiction to the present day. This groundbreaking
technology is driving advanced discoveries and allowing improved decision-making –
resulting in better patient care
From personal health data to a personalized adviceWessel Kraaij
Invited talk at the health track of ICT.OPEN 2018, 20-3-2018
1. Related Data science challenges to Digital Health trends
2. Designing an infrastructure to support secure learning from distributed health data repositories, for personalized health advice
3. Supporting patients with rare diseases with patient driven research and the generation of new hypotheses based on patient experiences.
CORD Rare Drug Conference, June 8 - 9, 2022
Opportunities and Challenges for Data Management Real-World Data and Real-World Evidence
• Patient support programs: Sandra Anderson, Innomar Strategies
• AI for Data Management and Enhancement: Aaron Leibtag, Pentavere
• Patient Support and RWE: Laurie Lambert, CADTH
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
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.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
1. From
the
Virtual
Human
to
a
‘Digital
Me’
Nour
Shublaq,
Peter
Coveney
Centre
for
Computa-onal
Science
University
College
London,
UK
n.shublaq@ucl.ac.uk
VPH 2012 – Infrastructures: Looking Ahead,
Thursday Sept 20, 2012, London
2. Overview
• What
is
a
‘Digital
Me’?
• Ingredients
• Some
challenges
ahead
and
key
to
implementa-on
• Conclusions
3. A
‘Digital
Me’:
Google
maps
of
the
human
body
‘a
coherent
digital
representa-on
that
is
used
as
an
integra-ve
framework
for
the
consolida-on
of
fundamental
and
transla-onal
Integra-ve
Biomedical
Research,
and
the
provision
to
(European)
Ci-zens
of
an
affordable
Personalised,
Predic-ve,
and
Integra-ve
Medicine’
• Interface
to
informaAon
-‐
having
an
efficient,
effec-ve
and
interac-ve
interface
to
the
combined,
heterogeneous
informa-on
based
on
innova-ve,
interac-ve
visualisa-on
technologies
• Blender
of
informaAon
-‐
the
ability
to
combine,
integrate,
fuse
informa-on
in
a
synergis-c
way,
and
to
return
such
fusion
to
the
user
visually.
This
involves
knowledge
management,
data
fusion,
image
processing,
mul--‐
modal
visualisa-on,
and
visualisa-on
of
uncertainty
• PaAent
avatar
-‐
Modelling
of
physiological
and
pathological
processes
and
their
representa-on
in
a
way
that
fosters
understanding,
explora-on
and
possibly
the
produc-on
of
new
knowledge
from
pa-ent-‐specific
and
popula-on-‐specific
informa-on
and
knowledge
Digital
Pa)ent
Roadmap
4. • What
is
a
‘Digital
Me’
?
• Ingredients
• Some
challenges
ahead
and
key
to
implementa-on
• Conclusions
5. Human
Genome
Sequencing
Sixty years ago we barely understood
the genetic basis of heredity. Today,
next generation sequencing has led to
fundamental shifts in our
understanding of biology.
No more than 25,000 protein coding
genes in the human genome and not
more than 100,000 previously thought.
Thousands of DNA variants have now
been associated with traits/diseases.
Physical characteristics and disease
risk are partly determined by small
genetic differences
Structure
Mol.
Profiles
Genomic
2
10
3000
30,000
6. 6
New
Sequencers
1 Human Genome in:
5 years (2001)
2 years (2004)
4 days (Jan 2008)
16 Hours (Oct 2008)
3 Hours (Nov 2009)
6 minutes (Now!)
Cost of whole genome sequencing expected to drop to $100 in a few years
8. Use
Case:
Cancer
Treatment
8
Drug treatment
recommendation
Genome
and Transcriptome
sequencing
Tumor sampling
Tumor stem cell extraction/
expansion
Modeling
Drug Response
The Cancer Model
X
X
X
Patient Specific Model
Drug Database
Mutation Database
9. Consumer
led
Healthcare
PaAentLikeMe
US-‐based
social
networking
and
data
sharing
plaZorm
for
people
with
a
range
of
mainly
chronic
and
serious
condi-ons
-‐
New
security
sengs
23andme
personal
genomics
company
stores
and
analyses
the
genotypes
of
thousands
of
individuals
at
over
500,000
different
posi-ons
13. RunKeeper
Best
App
for
Exercise
Fooducate
Best
App
for
Healthy
Ea-ng
Sleep
Cycle
Best
App
for
Snoozing
Top
5
Health
Apps
The
Times
Aug
2012
14. Lose
It!
Best
App
for
Weight
Loss
ZocDoc
Best
App
for
Finding
a
Doctor
15. E-‐infrastructure
and
compuAng
in
the
‘cloud’
Amazon and Microsoft are
providing cloud services
for data storage and
retrieval
16.
17. • What
is
a
‘Digital
Me’
?
• Ingredients
• Some
challenges
ahead
and
key
to
implementa-on
• Conclusions
18. Some
challenges
ahead
Biological
challenges
– Do
we
understand
biology
and
diseases
enough
to
develop
reliable
computa-onal
models?
– How
to
integrate
growing
knowledge
into
models?
ICT
Challenges
– Data
quality
– Data
management
– Data
security
– User
interfaces
Societal
challenges
– Privacy
– How
to
prevent
inequali-es
in
access
to
health
care?
– Health
care
economics
– Implementa-on
in
health
care
– How
to
prevent
adverse
effects/misuse?
19. • Exploit
unprecedented
amounts
of
detailed
biological
data
being
accumulated
for
individual
people
(e.g.
at
GP
surgeries,
labs),
some
of
which
are
already
available
on
EHRs
• Harness
the
latest
developments
in
ICT
– large
scale
data
integra-on
and
mining,
cloud
compu-ng,
high
performance
compu-ng,
advanced
modelling
and
simula-on,
– all
brought
together
in
a
highly
flexible
plaZorm.
• Turn
this
informa-on
into
knowledge
that
assists
in
taking
medical,
clinical
and
lifestyle
decisions
for
the
ci-zen
• Bridge
the
knowledge
gap
in
the
clinical/medical
community
• Pay
acen-on
to
the
ethical,
legal
and
societal
issues
Key
to
ImplementaAon
20. Clinicians
of
Tomorrow
• With
the
rush
of
genomic
data
into
hospitals,
and
an
increased
adop-on
of
electronic
health
records,
the
medical/clinical
community
is
faced
with
a
knowledge
gap.
• Match
the
knowledge
and
training
available
today
for
the
medical
and
clinical
communi-es
with
the
changing
landscape
of
medical
prac-ce
and
personalised
medicine
• Train
clinicians
today
to
be
comfortable
and
familiar
with
the
use
of
genomic
data
in
managing
their
pa-ents.
For
example,
although
it
might
be
more
useful
for
sequencing
and
genomic
research
to
freeze
tumor
samples,
surgeons
and
pathologists
most
oden
store
-ssue
in
formalin,
which
tends
to
make
meaningful
sequencing
more
difficult.
22. Ethical,
legal
and
societal
issues
Autonomy
Well-‐being
JusAce
Scien-sts
Freedom
to
research
Facili-es
and
funding
Appropriate
reward
e.g.
IP
Pa-ents
Right
to
know
or
not
to
know
Improved
treatment
op-ons
Access
to
resources
Vulnerable
groups
Right
to
be
heard
Allevia-on
of
disadvantage
Equality
Professional
groups
Professional
judgment
Increased
burden?
Implica-ons
for
prac-ce
Data
breach
is
the
unauthorised
acquisi-on,
access,
use,
or
disclosure
of
protected
health
informa-on
ownership
of
data,
consent,
compliance,
what
are
the
applicable
laws
and
regula-ons
governing
the
data?
Audi-ng
in
the
cloud?
23. • What
is
a
‘Digital
Me’
?
• Ingredients
• Some
challenges
ahead
and
key
to
implementa-on
• Conclusions
24. • Medicine
today
is
a
driver
of
ICT
innova-on
and
vice
versa
• Advanced
IT
allows
us
to
analyse
pa-ents
all
the
way
up
from
their
own
DNA
sequences
• A
personalised
‘digital
Me‘
approach
is
expected
to
lead
to
improved
– health
outcomes
– drugs/treatments
– disease
preven-on
– evidence-‐based
decision-‐making
– lifestyle
choices
for
global
ci-zens
Conclusions
25. Thank
you
for
your
aenAon!
Nour
Shublaq
University
College
London,
UK
n.shublaq@ucl.ac.uk