BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 13.3//EN BEGIN:VTIMEZONE TZID:GMT Standard Time BEGIN:STANDARD DTSTART:20231002T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYHOUR=2;BYMINUTE=0;BYMONTH=10 TZNAME:GMT Standard Time TZOFFSETFROM:+0100 TZOFFSETTO:+0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:20230301T010000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYHOUR=1;BYMINUTE=0;BYMONTH=3 TZNAME:GMT Daylight Time TZOFFSETFROM:+0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:How to find us: \;UCB\, 208 Bath Road\, Slough\, SL1 3WE\nI n association with PSI\, UCB and Cytel are delighted to invite you to join a symposium\, educating on Artificial Intelligence (AI) approaches and th eir impact on clinical development. \nWith so many recent advances in AI\, it is important both for statisticians to keep up to date with the most r ecent methods and be involved in guiding their application to the most pre ssing statistical challenges. This one-day event will cover cutting edge e xamples of how data science and statistical sciences are intersecting\, an d where attendees can fit into that space. Come to learn and discuss why d ifferent approaches matter when looking at clinical development data.\nHer e's 5 reasons why you can't afford to miss it:\n\n1 Hear from the experts leading the way in AI: \;We have exciting speakers from the University of Oxford\, PSI\, Roche\, Cytel and UCB\n\n2 Observe real case studies: L earn from current Industry challenges and successes\n\n3 Statistical mind shift: Appreciate the importance of different approaches when looking at t he data and augment existing methods\n\n4 Making machine learning more acc essible: Technology showcase of latest tools\n\n5 Network with your peers: Exchange insights and help shape the new paradigm \n \;\n\n \n \n \n Time\n \n \n Agenda\n \n \n \n \n 09 :00 - 09:30\n \n \n Registration and Coff ee\n \n \n \n \n 09:30 - 9: 45\n \n \n Welcome \n Karim Ma lki\, Head\, Predictive Analytics\, UCB\n \n \n \ n \n 09:45 - 10:45\n \n \n Understanding activity patterns through wearable devices and AI al gorithms\n Chris Holmes\, Professor of Biostatistics in Genomic s in the Nuffield Department of Clinical Medicine and the Department of St atistics\, University of Oxford\n \n \n \n \n 10:45 - 11:30\n \n \n Why statisticians should be driving machine learning and AI projects\n Dr Moira Verbelen\, Principal Statistician\, UCB\n \n \n \n \n 11:30 - 11:45\n \n \n Break \n \n \n \n \n 11:45 &ndash\; 12:30\n \n \n The need for data science in the new clinical development paradigm\ n Francis Kendall\, Senior Director\, Biostatistics and Program ming\, Cytel\n \n \n \n \n 12:30 - 13:30\n \n \n Lunch and Networkin g\n \n \n \n \n 13:30 - 14: 15\n \n \n Technology Showcase\n Dr Bhushan Bonde\, Head of IT - NewMeds Innovation Development\, UCB\n \n \n \n \n \n 1 4:15 - 15:00\n \n Predicting Crohn's disease risk in asymptomatic relatives\n Dr Ken Hanscombe\, Research Associat e at King&rsquo\;s College London\n \n \n \n \n \n 15:00 - 15:15\n \n \n Coffee Break\n \n \n \n \n 15:15 - 16:00\n \n \n Roc he's experience developing Advanced Analytics Communities both internally and externally\n Chris Harbron\, Expert Statistical Scientist\, Roche\n \n \n \n \n 16:00 &ndash\; 16:45 \n \n \n Panel Discussion\ n \n \n \n \n 16:45 &ndash\ ; 17:00\n \n \n Closing Remarks\n \n \n \n \n 17:00 &ndash\; 18:00\n \n \n Drinks Reception and Networking\n \n \n \n\n \nPlease click \;here to register\, pl ease email PSI@mci-group.com \;to advise of any dietary requirements A SAP. \;\n\n \n \n \n Registration\n \n \n \n \n £\;60 + VAT\ n Registration deadline is Friday 6th September 2019\n \n \n \n\n \;\n Abstracts\n\n \n \n \n UCB\n \n \n Technology Show case\n Abstract: \;This will be a technical demonstration h ighlighting some of the latest technology available for performing machine learning and other high intensity computational tasks\, including a demon stration of Intel&rsquo\;s portable neural compute stick and a look at how new advances\, such as quantum computing\, will change the technological landscape.\n \n \n \n \n C hris Holmes (University of Oxford)\n \n \n Understanding activity patterns through wearable devices and AI algorith ms\n \n Abstract: \;New measurement technologies such as wearable devices coupled with AI algorithms\, that can learn from large scale streaming data\, have the potential for improved \;evalua tion and monitoring of treatment interventions. In this talk we review the prospect \;for AI to better characterise population activity \;va riation through wearable tech including an analysis of accelerometer data from \;100\,000 participants in UK BioBank.\n \n \n \n \n Frances Kendall (Cytel)\n \n \n The need for Data Science in the New Clinical De velopment Paradigm\n Abstract: \;This talk will set the sta ge on why Data Science is needed to support a New Clinical Development par adigm and what are the drivers of change. It will then put forward an idea on \;what that Paradigm could look like with \;examples of work t hat demonstrate this \;direction.\n \n \n \n \n \n Moira Verbelen (UCB)\n \ n \n \n \n \n \n \n \n \n \n Why stati sticians should be driving machine learning and AI projects\n \ n Abstract: \;Advancements in computer science have popular ised the widespread use of machine learning and AI. Although methods were mainly developed by computer and data scientists\, they are rooted in stat istical science. Statisticians are ideally placed to guide the implementat ion of these &lsquo\;new&rsquo\; approaches in pharma. In-depth understand ing of statistical concepts and model fitting are essential skills require d to avoid pitfalls such as poor algorithm design\, overfitting and incorr ect interpretation of results. These considerations and the ensuing value of statisticians&rsquo\; involvement are even more important in clinical d evelopment\, where datasets tend to be smaller than those typically used f or AI.\n \n \n \n \n \n Ken Hanscombe (King&rsquo\;s College London)\n  \;\ n \n \n Predicting Crohn's disease risk i n asymptomatic relatives\n \n Abstract: An applicati on of elastic net and random forest classifiers to Crohn&rsquo\;s disease (CD) risk in asymptomatic first-degree relatives (FDRs) of CD patients\, u sing multiple environmental and genetic predictors.\n \n \n \n \n \n \n \n \n Chris Harbron (Roche)\n \n \n Roche's experience developing Advanced Analytics Communities bot h internally and externally\n \n Abstract: \;Roc he has been successful in building an internal advanced analytics communit y consisting of over 750 data scientists from across the global Roche orga nization as well as establishing a number of external advanced analytics p artnerships. \; This talk will discuss how Roche have approached this effort as well highlighting some of the successes and challenges\, includi ng crowd sourcing the internal community to tackle key scientific research questions using machine learning. \; \;\n \n \n \n\n \n DTEND:20190911T170000Z DTSTAMP:20240329T074805Z DTSTART:20190911T080000Z LOCATION: SEQUENCE:0 SUMMARY:Impact of AI on Clinical Development UID:RFCALITEM638472952859102193 X-ALT-DESC;FMTTYPE=text/html:
How to find us: \;UCB\ , 208 Bath Road\, Slough\, SL1 3WE
\nIn association with PSI\, UCB a nd Cytel are delighted to invite you to join a symposium\, educating on Ar tificial Intelligence (AI) approaches and their impact on clinical develop ment.
\nWith so many recent advances in AI\, it is important both f or statisticians to keep up to date with the most recent methods and be in volved in guiding their application to the most pressing statistical chall enges. This one-day event will cover cutting edge examples of how data sci ence and statistical sciences are intersecting\, and where attendees can f it into that space. Come to learn and discuss why different approaches mat ter when looking at clinical development data.
\nHere's 5 re
asons why you can't afford to miss it:
\n
\n1 H
ear from the experts leading the way in AI: \;We have excitin
g speakers from the University of Oxford\, PSI\, Roche\, Cytel and UCB
\n
\n2 Observe real case studies: Learn from curre
nt Industry challenges and successes
\n
\n3 Statistical
mind shift: Appreciate the importance of different approaches whe
n looking at the data and augment existing methods
\n
\n
4 Making machine learning more accessible: Technology showcase of
latest tools
\n
\n5 Network with your peers: E
xchange insights and help shape the new paradigm
 \;
\nTime
\nAgenda
\n09:00 - 09:30
\nRegistration a nd Coffee
\n09:3 0 - 9:45
\n
Welcome
\n Karim Malki\, Head\, Predictive A
nalytics\, UCB
09:4 5 - 10:45
\nUnderstanding activity patterns through wearable devices and AI algorithm
s
\n Chris Holmes\, Professo
r of Biostatistics in Genomics in the Nuffield Department of Clinical Medi
cine and the Department of Statistics\, University of Oxford
10:45 - 11:30
\nWhy statisticians should b
e driving machine learning and AI projects
\n Dr Moira Verbelen\, Principal Statistician\, UCB
11:30 - 11:45
\nBreak
\n11:45 &ndash\; 12:30
\nThe need for data science in the
new clinical development paradigm
\n Francis
Kendall\, Senior Director\, Biostatistics and Programming\, Cytel
12:30 - 13:30
\nLunch and Networking strong>
\n13:30 - 14:15 p>\n
Te
chnology Showcase
\n Dr Bhu
shan Bonde\, Head of IT - NewMeds Innovation Development\, UCB
\n
14:15 - 15:00
\n15:00 - 15:15
\nCoffee Break
\n15:15 - 16:00
\nRoche's experience developing Advanced Analytics Commu
nities both internally and externally
\n
Chris Harbron\, Expert Statistical Scientist\, Roche
16:00 &ndash\; 16:45
\nPanel Discussion
\n16:45 &ndash\; 17:0 0
\nClosing Remarks
\n17:00 &ndash\; 18:00
\n< strong>Drinks Reception and Networking
\n
\nPlease click \;here to register\, please email
PSI@mci-group.com \;to advise
of any dietary requirements ASAP. \;
\n Registration \n | \n
\n £\;60 + VAT | \n
 \;
\n
\n UCB \n | \n \n Technology Showcase p>\n Abstract: \;This will be a technic al demonstration highlighting some of the latest technology available for performing machine learning and other high intensity computational tasks\, including a demonstration of Intel&rsquo\;s portable neural compute stick and a look at how new advances\, such as quantum computing\, will change the technological landscape. \n | \n
\n Chris Holmes (University of Oxford) \n | \n \n Understanding activity patterns throug
h wearable devices and AI algorithms | \n
\n Frances Kendall (Cytel) \n | \n
\
n The need for Data Science in the New Clinical Deve lopment Paradigm \nAbstract:&n bsp\;This talk will set the stage on why Data Science is needed to support a New Clinical Development paradigm and what are the drivers of change. I t will then put forward an idea on \;what that Paradigm could look lik e with \;examples of work that demonstrate this \;direction. \n | \n
\n \n
Moira Verbelen (UCB) \n | \n \n Why statisticians should be dr
iving machine learning and AI projects | \n
\n Ken Hanscombe (King&rsquo\;s College London) \n \; \n | \n \n Predicting Cro
hn's disease risk in asymptomatic relatives | \n
\n Chris Harbron (Roche)< /p>\n | \n \n Roche's experience dev
eloping Advanced Analytics Communities both internally and externally | \n
\n