Caricamento Eventi

Tutti gli Eventi - Calendario dei prossimi eventi

  • Questo evento è passato.

AI in Clinical Trials

6 Novembre @ 09:30 - 18:00

OVERVIEW

Artificial Intelligence (AI) is rapidly changing Medicine, especially oncology: it offers groundbreaking tools to optimize clinical trial design, improve patient selection, accelerate fact collection from real-world data, increase clinical experimentation in efficiency, and maximize of innovative pharmacological treatments, e. g. immunotherapy and targeted therapy.
The event promises to explore AI potential in oncological clinical research with a multidisciplinary and clinical-praxis-oriented approach.

THE FOLLOWING SPECIFIC OBJECTIVES WILL BE DISCUSSED:

Innovative clinical trial design
New experimental models will be explained, including adaptive studies,“umbrella” and “basket trials, as well as the use of synthetic arms and RWD (real-world data) data, to make studies more agile, efficient and less costly.

Clinical Trial Matching boosted by IA
AI can automatically select patients eligible for studies.Therefore, AI can enhance equity in accessing and efficiency in recruiting, even in complex, personalized trials.

AI-driven biomarkers and validation
The integration of AI-based predictive biomarkers derived from genomic, clinical, and radiomic data will be discussed, focusing on the level of validation required for their adoption in regulatory and clinical settings.

Ethics, biases, and legal framework in AI
A proper use of AI requires great attention to algorithmic biases, discrepancies in its access and ethical responsibilities.
European regulatory principles and implications for AI-assisted trials will be presented.

From validation to clinical implementation
Lastly, strategies to efficiently validate and integrate AI models in therapeutic planning and in everyday oncological praxis will be examined.

 

Registration is free of charge. You may register for IN-PERSON OR ONLINE-ONLY ACCESS

ADDITIONAL INFORMATION FOR COMPANIES’ REGISTRATION FEE
If you work for a profit company (not sponsoring the event), you must pay a registration fee: Euro 100.00 including VAT and taxes. Please contact directly segreteria3@events-communication.com

 

IN PERSON ATTENDANCE

CME accreditation (valid for Italian participants only) for: Medical Doctor, Pharmacist, Biologist, Nurse, Physicist, Chemist, Biomedical Laboratory Technician, Medical Radiation Technologist.

Italian CME credits will be granted to those participants who attend at least 90% of scientific works, fill in the questionnaire assessment of perceived quality and duly fill in the evaluation questionnaires answering correctly 75% of the questions

RES ID CME 459606 CME credits RES: 6

CONGRESS VENUE:

Università La Sapienza
Scuola Superiore di Studi Avanzati (SSAS), Aula 201,
Edificio D, 2° piano
Viale Regina Elena 295, 00161 – Rome

ONLINE ATTENDANCE

It is also possible to participate in the Conference live online.
CME accreditation (valid for Italian participants only) for: Medical Doctor, Pharmacist, Biologist, Nurse, Physicist, Chemist, Biomedical Laboratory Technician, Medical Radiation Technologist.

FAD ID CME 459613 CME credits RES: 9

OFFICIAL LANGUAGE: The official language is English.
OFFICIAL TIME: UTC +1 / Central European Time (CET)

 


Info

Data:
6 Novembre
Ora:
09:30 - 18:00
Categorie Evento:
, ,
Tag Evento:

Contatti

EVENTS srl
Congress&Communication
Email:
segreteria@events-communication.com
Sede:
Scuola Superiore di Studi Avanzati (SSAS) Aula 201, Edificio D, 2 ° piano
Viale Regina Elena 295
Roma, 00161 Italy