Online Course
25
May
2023
2023
25
May
2023
2023
Artificial Intelligence in Cancer Care Online Symposium
Chairs
Aleksandra Filipovic, UK - Dimitris Kalogeropoulos, UK
Date
25 May 2023
Background
Medicine is a practice that uses different sciences.
When managing serious, possibly life-threatening, diseases, we are constantly faced with two essential aspects of decision-making that appeal to what is important to treat the disease, on the one hand, and what is valuable to the person being treated, on the other. If artificial intelligence is applied to this valuable aspect, the amount of important information that can be gained for treating a disease today exceeds our capacity for immediate and integrative analysis.
The integration of big data into clinical cancer research provides an unprecedented opportunity to integrate information and complex research outputs, which in turn requires powerful computational resources. Through its formidable analytical power, artificial intelligence holds the promise of transforming the way we study, diagnose and treat cancer.
The use of machine-learning in preclinical and translational cancer research has increased rapidly in recent years, bringing exciting progress in digital pathology and diagnostics and enriching foundational and drug-discovery research. From unfolding the intricacies of multi-omics and cellular phenotypes or extracting clinically relevant patterns to using behavioral data collected from wearable devices, machine learning is revolutionizing the arena of cancer research.
Artificial intelligence has given rise to great expectations for improving cancer diagnosis, prognosis and therapy but has also highlighted some of its inherent outstanding challenges, such as potential implicit biases in training datasets, data heterogeneity and the scarcity of external validation cohorts.
Learning Objectives
- To identify opportunities and challenges that may arise from the application of AI in Cancer Care Continuum
- To share best practices in the application of AI in cancer diagnosis and treatment
- To educate HCPs on the latest innovations of the application of AI to understand how it works on the clinical side
- To raise cancer patients' awareness of AI in cancer care
- To know implications of the new frontiers of AI in precision oncology
Target Group
HCPs - Cancer Patients Organisations – Oncologists - Researchers - Medical Companies - Cancer Institutes - Universities - Healthcare Public Authorities
Course Format
The course will be held online with the participation of world-renowned experts, some of them already involved in webinars.
It will be free of charge and can be accessed by registering on SPCC's OncoCorner e-learning platform. The material will remain available on-demand.
Continuing Medical Education accreditation
Application for CME accreditation has been submitted to the Accreditation Council of Oncology in Europe (ACOE).
The programme was recognised as being of high quality from both a scientific and didactic point of view and was awarded 2 CME credits.
Participants will be issued a certificate of attendance (minimum attendance: 75% of the entire course). An online evaluation questionnaire and learning assessment test will need to be completed in order to get the certificate that will be issued by email.
Acknowledgements
Sharing Progress in Cancer Care wishes to express its appreciation to AstraZeneca, Novartis and Roche for their indipendent support.
25/05/2023 13:00 CEST
Programme
25/05/2023 13:00 CEST
Welcome and introduction
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK
25/05/2023 13:05 CEST
Highlights from the first webinar “AI in Cancer Care: An Overview”
Expert: Eduardo Farina, BR
25/05/2023 13:15 CEST
Round table on the discussed topics
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK
Expert: Tim Chen, US
Expert: Eduardo Farina, BR
Expert: Dorothy Keefe, AU
Expert: Viktor Kölzer, CH
Expert: Claudio Luchini, IT
Expert: Giancarlo Pruneri, IT
Expert: Pietro Valdastri, UK
25/05/2023 13:25 CEST
Highlights from the second webinar “AI Applications in Diagnosis”
Expert: Viktor Kölzer, CH
25/05/2023 13:35 CEST
Round table on the discussed topics
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK
Expert: Tim Chen, US
Expert: Eduardo Farina, BR
Expert: Dorothy Keefe, AU
Expert: Viktor Kölzer, CH
Expert: Claudio Luchini, IT
Expert: Giancarlo Pruneri, IT
Expert: Pietro Valdastri, UK
25/05/2023 13:45 CEST
Highlights from the third webinar “AI in Genomics and Reporting for Clinical Practice”
Expert: Tim Chen, US
25/05/2023 13:55 CEST
Round table on the discussed topics
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK
Expert: Tim Chen, US
Expert: Eduardo Farina, BR
Expert: Dorothy Keefe, AU
Expert: Viktor Kölzer, CH
Expert: Claudio Luchini, IT
Expert: Giancarlo Pruneri, IT
Expert: Pietro Valdastri, UK
25/05/2023 14:05 CEST
Highlights from the fourth webinar “AI in Surgery”
Expert: Pietro Valdastri, UK
25/05/2023 14:15 CEST
Round table on the discussed topics
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK
Expert: Tim Chen, US
Expert: Eduardo Farina, BR
Expert: Dorothy Keefe, AU
Expert: Viktor Kölzer, CH
Expert: Claudio Luchini, IT
Expert: Giancarlo Pruneri, IT
Expert: Pietro Valdastri, UK
25/05/2023 14:25 CEST
Highlights from the fifth webinar “AI for patient-centric personalisation of medicine”
Expert: Dorothy Keefe, AU
25/05/2023 14:35 CEST
Round table on the discussed topics
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK
Expert: Tim Chen, US
Expert: Eduardo Farina, BR
Expert: Dorothy Keefe, AU
Expert: Viktor Kölzer, CH
Expert: Claudio Luchini, IT
Expert: Giancarlo Pruneri, IT
Expert: Pietro Valdastri, UK
25/05/2023 14:45 CEST
Highlights from the sixth webinar “Artificial Intelligence for Specific Tumours”
Expert: Giancarlo Pruneri, IT
25/05/2023 14:55 CEST
Round table on the discussed topics
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK
Expert: Tim Chen, US
Expert: Eduardo Farina, BR
Expert: Dorothy Keefe, AU
Expert: Viktor Kölzer, CH
Expert: Claudio Luchini, IT
Expert: Giancarlo Pruneri, IT
Expert: Pietro Valdastri, UK
25/05/2023 15:05 CEST
Highlights from the seventh webinar “AI in Managing Clinical Data and Trials”
Expert: Claudio Luchini, IT
25/05/2023 15:15 CEST
Round table on the discussed topics
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK
Expert: Tim Chen, US
Expert: Eduardo Farina, BR
Expert: Dorothy Keefe, AU
Expert: Viktor Kölzer, CH
Expert: Claudio Luchini, IT
Expert: Giancarlo Pruneri, IT
Expert: Pietro Valdastri, UK
25/05/2023 15:25 CEST
Closing remarks
Chair: Aleksandra Filipovic, UK
Chair: Dimitris Kalogeropoulos, UK

Tim Chen
Scientist at Foundation Medicine, Boston, USA

Eduardo Farina
UNIFESP (Federal University of São Paulo) and Diagnósticos da América SA (DASA), Sao Paolo, Brazil

Aleksandra Filipovic
Imperial College London, London, United Kingdom

Dimitris Kalogeropoulos
Chief Executive at the Global Health & Digital Innovation Foundation, London, United Kingdom
Dorothy Keefe
CEO at Cancer Australia, Surry Hills NSW, Australia

Viktor Kölzer
Attending Pathologist, Institute of Pathology and Molecular Pathology - Assistant Professor and Lead for Digital Pathology, University of Zürich, Zürich, Switzerland

Claudio Luchini
Diagnostics and Public Health Dept., Section of Pathology, and ARC-Net Research Center, University and Hospital Trust of Verona, Verona, Italy
Giancarlo Pruneri
Fondazione IRCCS, Istituto Nazionale Tumori and University of Milan, Milan, Italy

Pietro Valdastri
Professor and Chair in Robotics and Autonomous Systems, University of Leeds, Leeds, United Kingdom
ARTIFICIAL INTELLIGENCE
GENERAL INTEREST
GENERAL ONCOLOGY
INNOVATION
This material is part of Educational
Project:
2022 - Artificial Intelligence in Cancer Care Educational Project