Data

9 - 10 November 2020

Location

Vienna

Lingua

English

European Statistical Forum

Iscriviti
European Statistical Forum

CALL FOR SPEAKERS STILL OPEN


Abstract Submission deadline: May 10th, 2020

Data Science and the Rise of New Analytical Techniques

The Evolution of the Clinical Development Paradigm and Biostatistics


The application of big data analytics like machine learning and artificial intelligence holds the potential to transform drug development by means of improved patient outcomes, identification of new treatments and reduction of costs and development time.
This transformation is facilitated not only by the development of the analytical techniques, but also by the ever-expanding availability of data from legacy information, clinical trials, and medical records from participants in data collection initiatives as well as the even broader “real world”. 
The enrichment of biological, clinical and patient preference large-scale data could enable computational inference relevant to real-world pharmaceutical research, particularly in the areas of:

  • Identification of predictive factors for patient response
  • More efficient clinical trial management and recruitment
  • Supplementing clinical trial data with real world data
  • Drug candidate selection and pipeline development
  • Orphan drugs, rare diseases and drug repurposing

The 11th edition of the European Statistical Forum is therefore dedicated to understanding if and how these new techniques may be changing the drug development paradigm, to highlighting opportunities and pitfalls, and to exploring how the role of the biostatistician may evolve and interact with these new approaches.
In scope are presentations for example on:

  • Regulatory views on the new analytical techniques incorporating data science elements
  • Advanced methods for response prediction or subgroup identification
  • Novel approaches to trial design incorporating flexible elements for patient stratification
  • Innovative ways to incorporate real world data into the clinical study design or analysis
  • Early identification of Adverse Drug Reactions
  • Real case studies of collaboration between biostatisticians and data scientists
  • Opportunities and risks with novel data science methodologies.

The European Statistical Forum conference will be preceded by a seminar / training on data science and machine learning methodology. 

Scientific board

Jens-Otto Andreas - Head Statistical Sciences & Innovation - Bone & New Diseases at UCB Biosciences GmbH
Lisa Comarella - Director Biostatistics at CROS NT
Giacomo Mordenti - Director, Statistics & Data Management at Livanova
Marc Vandemeulebroecke - Global Group Head for Dermatology at Novartis Biostatistics


Who should attend?

The conference is addressed to statisticians, pharmacometricians, physicians, regulators, academia and other experts interested in the field belonging to:

  • Pharmaceutical, and Biotechnology companies
  • CROs
  • Universities/Hospitals
  • Academic Research


For sponsorship opportunities, please contact events@lsacademy.com

Attestato di partecipazione

Certificate of attendance

9 November 2020 

PRE-CONFERENCE SEMINAR


A full day training on Data Science and Machine Learning Methodology


Stay tuned for further details!

10 Novembre 2020

The National Institute for Health and Care Excellence (NICE) provides national guidance and advice to improve health and social care. In January 2020 we published a Statement of Intent to increase and extend the use of data in the development and evaluation of our guidance. This explores:

  • What kind of evidence does NICE currently use to develop guidance
  • What broader types of data are available
  • When and why should broader types of data be considered
  • Practical considerations associated with data analytics

We have since defined the programme to develop a methods and standards framework for activities involving broader sources of data and applied analytics. This is summarised into five key topics, which are crucial to address to ensure best practice in conducting high quality analyses of data. These are Research Governance; Data; Analysis; Results and Dissemination. In addition to these topics, the programme will consider some cross cutting issues ranging from transparency and public trust, to the validation and evaluation of artificial intelligence [AI] in digital technology.

The presentation will give an overview of the transformational journey and the detail on the issues we are considering; which will be crucial for any organisation seeking to ensure their approach is suitable for regulatory assessment/evaluation.

Thomas Lawrence Thomas Lawrence – Data scientist, Managed Access at NICE

In 2001, Leo Breiman, a Professor in the Department of Statistics, University of California, Berkeley, wrote an influential – and not uncontroversial – paper, in which he stated: “There are two cultures in the use of statistical modelling to reach conclusions from data. One assumes that the data are generated by a given stochastic data model. The other uses algorithmic models and treats the data mechanism as unknown.” The “data modelling” culture (so-named by Professor Breiman) obsesses with identifying a specific form of nature lying inside the black box that turns inputs (of whatever form) into outputs (response values of scientific interest) by specifying parametric data generating mechanisms, fitting these to available data, then making predictions and/or classifications about the output variables conditional on that fit. Data modellers are nearly always what we’d call “statisticians”. 

Breiman set this up in opposition to what he called the “algorithmic modelling” culture, which (supposedly) doesn’t care about the structure within the black box, and instead identifies a function that links input with output with sufficiently high accuracy. Such an objective is indeed how the ML scientists of my acquaintance define their work. 

But is the disjunction (data vs algorithm) valid? I will argue that it isn’t – that any successful modelling activity requires an understanding of the properties of both data and algorithm, and whether one calls oneself a statistician or an ML scientist is a matter to which the universe, with regard to the validity of one’s predictions, is entirely indifferent. 

The real cultural separation, I will argue, between the statistical and ML communities (and why the former keeps losing talent to the latter) isn’t to do with models for data and algorithms, but is much less tangible, and to do with disposition: “you shouldn’t do that”, versus “why not try?” This is the real challenge to the statistical community: can we open-up our attitudes quickly enough to remain relevant in a world that ought to be crying out for our talents. We seem to have boxed ourselves in to something unfashionable; I think we can learn from our ML friends in order to change, and the best way to learn is to work together. I’ll explore all these thoughts in the talk with some examples from my work in pharmaceutical R&D.


Reference
Breiman, L (2001) Statistical Modelling: The Two Cultures. Statistical Science, Vol 16, No.3, 199-231.

Graeme Archer Graeme Archer – VP & Head, Non-Clinical & Translational Statistics at GlaxoSmithKline Pharmaceuticals R&D

Biotech and Pharmaceutical companies alike are increasingly relying on Artificial Intelligence applied on expertly curated data to identify complex patterns in order to better understand and minimize the risk of drug development. 

Example use case: 

What is the probability of technical and regulatory success (PTRS) for a program in clinical development and what are key drivers for this? The application of Machine Learning techniques can help analyze external historic data and provide a powerful perspective. We examine as a case study an ongoing program in Diffuse Large B-Cell Lymphoma (DLBCL), and address several related questions, e.g., (a) how does the PTRS in this program compare to historic averages, (b) how does the PTRS compare to competing ongoing programs, (c) what are the key drivers (e.g., outcomes, number of patients) for the Machine Learning analysis, (d) what are historic benchmarks for such drivers, (e) how do historic benchmarks compare to current trends in ongoing clinical development programs?

Dimitrios Skaltsas Dimitrios Skaltsas – Co-founder & Executive Director at Intelligencia

Coordinatori Scientifici

Jens-Otto Andreas
Jens-Otto Andreas Project Lead Statistician at UCB Biosciences GmbH
Lisa Comarella
Lisa Comarella Director Biostatistics at CROS NT
Giacomo Mordenti
Giacomo Mordenti Head of Biostatistics & Data Management Europe at Daiichi Sankyo Europe GmbH
Marc Vandemeulebroecke
Marc Vandemeulebroecke Global Group Head for Dermatology at Novartis Biostatistics

Relatori

Graeme Archer
Graeme Archer VP & Head, Non-Clinical & Translational Statistics at GlaxoSmithKline Pharmaceuticals R&D
Thomas Lawrence
Thomas Lawrence Data scientist, Managed Access at NICE
Dimitrios Skaltsas
Dimitrios Skaltsas Co-founder & Executive Director at Intelligencia

Coordinatori Scientifici

Jens-Otto Andreas
Jens-Otto Andreas Project Lead Statistician at UCB Biosciences GmbH
Lisa Comarella
Lisa Comarella Director Biostatistics at CROS NT
Giacomo Mordenti
Giacomo Mordenti Head of Biostatistics & Data Management Europe at Daiichi Sankyo Europe GmbH
Marc Vandemeulebroecke
Marc Vandemeulebroecke Global Group Head for Dermatology at Novartis Biostatistics

Sede della Conferenza

NH Danube City
Wagramer Strasse 21
Vienna, Austria

The NH Danube City hotel is ideally located for business and pleasure. Not only is it steps from the UN building and the Vienna International Center, but it also puts you in easy reach of the recreational activities on Danube Island. Vienna’s biggest shopping center, the Donauzentrum, is also on the doorstep. 10 minutes to the city center from the nearby subway station. Awarded the ISO 14001 environmental certificate, thanks to its environmental commitment.

  From the Airport 
Train: Take the CAT to Landstraße - Wien Mitte, then change onto the U4 (green line) towards Heiligenstadt. Change at Schwedenplat station onto the U1 (red line) towards Leopoldau. Get off the metro at the Kaisermühlen-Vienna International Center station. Take the Wagramer Straße exit and walk around 500 m away from the city center to reach the hotel.

S-Bahn: Take the S7 to the Praterstern station. Change onto the U1 (red line) towards Leopoldayu. Get off the metro at the Kaisermühlen-Vienna International Center station. Take the Wagramer Straße exit and walk around 500 m away from the city center to reach the hotel.

Bus: Vienna Airport Lines: Vienna Airport Lines buses stop directly opposite the arrivals halls exit and will drop you off at the stop right in front of the hotel.

Taxis: It is a 25 minutes trip, depending on traffic and cost around 40€ - 45€

  From the Train Station: 
From Kaisermühlen-Vienna International Center: take the Exit to the "Wagramer Straße", turn left and walk straight for around 5 minutes. The hotel is located on the left.

Closest metro station: Kaisermühlen-Vienna International Center (U1)

You can choose between a single ticket (2,80€), a day ticket (7,60€) or a ticket for a week (16,20€). Within the ticket price, you can take the train and the bus in the inner circle of Vienna.

  The hotel's GPS Coordinates: 48.235364°N 16.422006°E  - Parking: Onsite: 2,60€/hour, 33,80€/day.

  Suggested hotels in the nearby:
          - Park Inn by Radisson Uno City Vienna (at 190 mt) 
          - Arcotel Kaiserwasser Superior (at 550 mt)

Informazioni utili

Upon Arrival
At your arrival you will find our Staff at the Welcome Desk to greet and make you feel welcome and as comfortable as possible, providing direction and all information about the meeting, seating, refreshments.

Refreshments
Coffee breaks and networking lunch will provide a pleasant moment of refreshment and an opportunity for you to network with your industry peers. Special care about the food quality, in particular to your dietary needs or preferences, from menus of local products and flavors to vegetarian dishes.



Conference Room
All our conference facilities are safe, healthy, comfortable, aesthetically-pleasing, and accessible. They are able to accommodate the specific space and equipment needs of the conference. Equipped for audio/visual, Free Wi-Fi to allow everyone to connect with just one click.



Informative literature
All the necessary information for the Conference is provided. The environment is important to us and that's why we try to make this meeting an experience of environmental sustainability.

Fee includes
Seat at the conference, copy of presentations of Speakers who allow the distribution, informative literature for the day, networking lunch, coffee break, organisational office assistance, certificate of attendance. 

Numeri utili

Ilaria Butta
Ilaria Butta Events & Training Executive
Enrico Pedroni
Enrico Pedroni Managing Director
Valeria Quintily
Valeria Quintily Project & Scientific Manager

Eventi passati

Prezzo della conferenza

1405.00 €

Super Early Bird

venerdì 7 agosto 2020

1190.00 €

Pagamenti accettati

  • Bonifico bancario
  • Carta di credito
  • PayPal

Per informazioni:

Contatti:

Ilaria Butta
Ilaria Butta Events & Training Executive
Enrico Pedroni
Enrico Pedroni Managing Director
Valeria Quintily
Valeria Quintily Project & Scientific Manager
Organizzata da

Formazione tecnico scientifica
in ambito farmaceutico
Via Roma 20 – 24022 – Alzano Lombardo (BG)
Tel: +39 035 515684

I Feedbacks dei partecipanti

Several topics covered, practical approach to problems

High quality presentations, good networking possibility

Interesting Topics; workshop usefully to help to undestand some topics of the conference

Good and relvant speakers, with deep knowleadge in their speeach; Well organized

The workshop was highly relevant and well presented

The refreshment and the event room were perfect 

Good size of number of partcipants;  interesting agenda with appropriate time allocated for presentations and question and answers 

Large number of delgates, therefore good discussions; workshop + conference worked well

Interesting presentations both theoretical and more applied ones, good discussions

Expertise of speakers, speaker from EMA

Timing respected and well organized, organization team very kind and available for all questions

Interaction with statistician, colleagues. possible to deep the knowledge about some topics

Good time for questions and speakers presentations ; well balanced between breaks/sessions 

Relevant and concrete topic, dedicated moment on a same topic is nice to get take home message

I numeri di LS Academy

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Termini e Condizioni

Corsi
la quota comprende: Ingresso al corso, documentazione didattica, pranzi e coffee break, assistenza segreteria organizzativa, attestato di partecipazione.
Lo sconto early bird non si applica alla quota per Freelance – Accademia – Pubblica Amministrazione.
Il corso si svolgerà al raggiungimento di un minimo di 8 partecipanti. In caso contrario verrà data comunicazione agli iscritti almeno una settimana prima dalla data del corso.
Per maggiori informazioni riguardanti l’iscrizione all’evento, potete contattare la segreteria organizzativa:
training@LSAcademy.com oppure tel. +39.035.515684


Conferenze

la quota comprende: ingresso alla conferenza, copia delle presentazioni dei relatori che le hanno rese disponibili, materiale informativo della giornata, networking lunch, coffee break, assistenza segreteria organizzativa, attestato di partecipazione. Per maggiori informazioni riguardanti l’iscrizione all’evento, potete contattare la segreteria organizzativa: events@LSAcademy.com oppure tel. +39(0)35.4123594

Webinars
la quota comprende: Ingresso al corso, documentazione didattica, assistenza segreteria organizzativa, attestato di partecipazione. Lo sconto early bird non si applica alla quota per Freelance – Accademia – Pubblica Amministrazione.  Per maggiori informazioni riguardanti l’iscrizione all’evento, potete contattare la segreteria organizzativa:
training@LSAcademy.com oppure tel. +39.035.515684


Condizioni comuni per Corsi e Conferenze

Termini di pagamento
L’importo dovrà essere versato ad EasyB S.r.l. all’atto dell’iscrizione tramite pagamento online (con carta di credito) o tramite bonifico bancario. In caso di bonifico bancario, l’importo dovrà essere versato a EasyB s.r.l. all’atto dell’iscrizione a:

EasyB S.r.l.
Via Roma, 20 – 24022 Alzano Lombardo (BG)
VAT: IT03633040161
Coordinate Bancarie:
BANCO BPM – Filiale di Carobbio Degli Angeli
SWIFT Code: BAPPIT21AY5
IBAN: IT81 F 05034 53960 000000003450

Solo la conferma dell’avvenuto pagamento consente la partecipazione all’evento. Seguirà fattura quietanzata. Iscrizioni ricevute in ritardo od oltre il numero massimo dei partecipanti o di figure professionali non in linea con il target dell’evento, potranno non essere accettate. Il pagamento della quota di iscrizione è dovuto contestualmente al ricevimento della scheda di registrazione. L’ammissione all’evento è confermata unicamente al ricevimento del pagamento. Potranno non essere accettate le iscrizioni ricevute in ritardo oppure oltre il numero massimo consentito dei partecipanti oppure di figure professionali non in linea con il target dell’evento.

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L’eventuale disdetta di partecipazione dovrà essere comunicata in forma scritta ad EasyB entro quattro settimane dall’evento; il rimborso è pari al 50% della quota. Dopo questo termine non verrà emesso nessun rimborso. Cambiamenti nei nominativi dei partecipanti sono gratuiti e da comunicare ad EasyB entro 7 giorni dalla data dell’evento. EasyB si riserva il diritto di posticipare o cancellare un evento, di cambiare la location di un evento o di modificare il panel dei relatori di un evento, di modificarne l’esecuzione da residenziale a webinar. EasyB non è responsabile per qualsiasi perdita o danno risultante da sostituzione, cambiamento, rinvio o cancellazione di un evento per cause al di fuori del proprio controllo, incluso a titolo esemplificativo e non esaustivo, cause di forza maggiore, disastri naturali, sabotaggi, infortuni, vertenze sindacali, atti di terrorismo, guerre, epidemie, pandemie, e/o blocchi dell’autorità ( c.d. factum principis).

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Ai sensi dell’art. 13 Reg. UE 27 Aprile 2016 n. 679, La informiamo che EasyB S.r.l., corrente in Alzano Lombardo (BG), via Roma 20 C.F e P.Iva 03633040161, in qualità di titolare del trattamento, tratterà i dati personali da lei volontariamente forniti solo previo consenso e nel rispetto dei principi dettati dal Regolamento Europeo in materia di protezione dei dati personali per l’invio di newsletter, per finalità di marketing (invio materiale pubblicitario, ricerche di mercato e comunicazione commerciale) e comunicazione dei medesimi dati a terzi (docenti e relatori, board scientifico, aziende che sponsorizzano la conferenza) anche per finalità di marketing. Potrà leggere l’informativa completa, compresi i diritti a lei spettanti e le modalità per l’esercizio degli stessi, cliccando su questo link.