Attestato di partecipazione
Introduzione
Precision medicine, so called personalized medicine, is “an approach to tailoring disease prevention and treatment that takes into account differences in people’s genes, environments and lifestyle”, according to FDA definition.
Innovative clinical trial designs, for example, platform trials, basket/umbrella trials are developed to support the development of precision medicine. Master protocol, one overarching protocol that allows simultaneously evaluation of multiple therapies or/and multiple diseases, has made these innovative clinical trial designs more implementable and is becoming to supplant classic trials, phase I, II, and III protocols in some therapeutical areas (e.g., oncology).
In addition, precision medicine revolves around a multitude of different data sources and types (e.g., ‘omics’ data, real world data (RWD), which ask for more advanced statistical methodologies.
This opens the door for the application of Artificial intelligence (AI)/Machine learning (ML) to unlock the potential of these data and advance precision medicine.
The 14th edition of European Statistical Forum (ESForum) aims to inform on current status of methodology and regulatory aspects and to discuss the future direction of clinical trial design in the era of precision medicine and to debate the role of AI/ML and RWD in the rapidly changing landscape of clinical trial designs.
This will include presentations focusing on:
- Current landscape of clinical trial designs in the era of precision medicine
- Regulatory views on methodology used in precision medicine
- Recent development of AI/ML in advance precision medicine development
- The role of RWD to fuel precision medicine
- Case studies and practical approaches
Scientific Board
Jens-Otto Andreas - SSI Business Operational Excellence Senior Lead at UCB Biosciences
Lisa Comarella - Senior Director Biostatistics at Alira Health
Marco Eigenmann - Principal Biostatistician at Novartis
Victoria Strauss - Therapeutic Area Methodology Chapter Head at Boehringer Ingelheim
Who should attend?
This statistical conference is addressed to statisticians, pharmacometricians, data scientists, regulatory affairs specialists, academia and other experts interested in the field belonging to: Pharmaceutical, and Biotechnology companies, CROs, Universities/Hospitals, Academic Research.
Quote di iscrizione
€ 590,00* Early Bird fee until 02 November 2023
€ 710,00* Ordinary fee
€ 410,00* Freelance, Academy, Public Administration
Fee includes: seat at the conference, copy of presentations of Speakers who allow the distribution, networking lunch, coffee breaks, organisational office assistance, certificate of attendance.
* for Italian companies: +22% VAT
Informazioni utili
The conference will take place at:
NH Collection München Bavaria
Arnulfstr. 2, 80335 Munich
The NH Collection München Bavaria is located in the city center next to the main train station, and only steps away from the old town, it offers easy access to all of Munich, making it an ideal base for business visitors.
From the airport
Train: Take the S1 or S8 from the Munich Airport, which departs every 5 – 10 minutes, to get to the central station “München Hauptbahnhof”. From there, please alight in the direction of Arnulfstraße. The hotel is located on the opposite side of the street. Total trip time is around 45 minutes.
Taxi: It is a 30-40 minutes trip
From the train station
München Hauptbahnhof: From there, please alight in the direction of Arnulfstraße. The hotel is located on the opposite side of the street.
Closest metro station: München Hauptbahnhof
COVID-19
LS Academy is aware of the evolving impact of COVID-19 and is committed to offering safe and secure face-to-face courses and conferences. From physical distancing, protect, detect, cleaning and hygiene. LS Academy ensures that all our events are conducted in accordance with official government guidelines and regulations, understanding that these measures may vary and change as the situation evolves.
Edizioni Passate
Registrati
Versione Stampabile
NH Collection München Bavaria
Arnulfstr. 2
80335 Munich – Germany
