From AI-driven population medicine to population well-being: The MUSA approach
Prof. Ernesto Damiani
Università degli Studi di Milano, Milano, Italy
Ethical considerations, inclusion, biases and data protection for augmented intelligence in Medical Imaging in the era of Generative AI
Dr Muhammad Umair
The Johns Hopkins Hospital, Baltimore, MD, USA
Database searching to improve prognostic/diagnostic markers identification
Prof. Antonio Facchiano
Istituto Dermopatico dell’Immacolata, IDI-IRCCS, Rome, Italy
Machine Learning for the Prediction of Antimicrobial Susceptibility in Subjects Receiving Inpatient or Outpatient Care
Ing. Marco Benedetto
Department of Management and Innovation Systems, University of Salerno, Fisciano, Italy
Improving the interpretation of radiology images via multi-modal machine learning
Dr Mirabela Rusu
Department of Radiology, Stanford University, Stanford, California, USA
Leveraging Antibody Drug Conjugates in the care of Patients with Metastatic Urothelial Carcinoma; Potential for Immunotherapy Combination Treatment
Prof. Yousef Zakharia
The University of Iowa and Holden Comprehensive Cancer Center, Iowa City, Iowa USA
Dr Arnab Basu
O’Neal Comprehensive Cancer Center, The University of Alabama at Birmingham, Birmingham, AL, United States
Dr Shilpa Gupta
Department of Solid Tumor Oncology, Taussig Cancer Institute
Cleveland Clinic, Cleveland, OH, USA
Liquid Biopsy under the perspective of single-cell sequencing
Prof. Qihui Shi
Fudan University, Shanghai Medical College, Institutes of Biomedical Sciences, Shanghai, China
Classification of white blood cells by deep learning
Prof. Jon-Lark Kim
Sogang University, Seoul, Korea
Development of a Serum-based Signature for Early Detection of Pancreatic Cancer
Prof. Gary Xiao
Molecular Pharmacology, School of Chemical Engineering, Dalian University of Technology, Dalian, China
SMART Diagnostics in the Precision Care of Cancer
Prof. Jianyu Rao
Department of Pathology and Lab Med, David Geffen School of Medicine, University of California, Los Angeles, USA
Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology
Prof. Mingyi Chen
UT Southwestern Medical Center, Dallas, Tx, USA
Personalised Medicine: The Medicine of tomorrow, today
Prof. George P. Patrinos
University of Patras, School of Health Sciences, Department of Pharmacy, Patras, Greece
The Clinical Adoption of Artificial Intelligence for the Next Digital Transformation of Radiology
Prof. Seong K Mun
Arlington Innovation Center: Health Research, Virginia Tech, Arlington, USA
Translating Biomedical Informatics Back To Healthcare: Facilitating the use of Artificial Intelligence at UW Medicine
Prof. Sean Mooney
Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA
Computational Pathology and AI Enabled Diagnostics: Where are we today and future directions
Prof. Anil Parwani
Columbus, OH, USA
AI-Power Up: Point of Care (POCUS) Devices and Clinical Applications
Prof. Hamid Shokoohi
Harvard Medical School, Department of Emergency Medicine, Massachusetts General Hospital, Harvard, USA
Advancements in AI-POCUS: Spine Procedural Ultrasound
Dr. Tamas Ungi
Department of Surgery, Queen’s University, Ontario, Canada
AI-guided Needle Localization in POCUS Procedural Applications
Dr. Michael Blaivas
University of South Carolina, School of Medicine, Columbia, SC, USA
AI-POCUS Journey: Where We Are and Where to Go
Prof. Andrew Goldsmith
Harvard Medical School, Massachusetts General Hospital, Boston, United States
