| Date & Time | 11-12 September 2023 |
|---|---|
| Location | Online & Helsinki, Finland |
AI/ML in Health Science: Benefits and Challenges
The objective of the MAQC Society is to communicate, promote, and advance reproducible science principles and quality control for analysis of the massive data generated from the existing and emerging technologies in solving biological, health, and medical problems.
MAQC is bringing a full two days of keynote and invited speakers, as well as sessions involving abstracts contributed by MAQCSociety members and other participants.
Session topics include:
- AI in imaging
- Population health,
- Natural language processing
- Synthetic data
- AI in covid research
- Multi-omics and data integration
- And more!
Confirmed speakers include:
- Samuli Ripatti (FIMM, Univ. Helsinki, Finland)
- Chris Mason (Weill Cornell, NY, USA)
- Payel Das (IBM, USA)
- Shraddha Takkar (NCTR, USA)
- Visnawath Devanarajan (Eisai Inc, USA)
- Josef Neu (Univ. Florida, USA)
- Michaël Chassé (CHUM, Moontreal, Canada)
- Yuanting Zheng (Fudan Univ., Shanghai, China)
- Zainab Awan (William Harvey Research Institute, UK)
- Benjamin Haibe-Kains (Princess Margaret Cancer Center, Toronto, Canada)
- Leming Shi (Fudan Univ., Shanghai China)
- Toni Andreu (EATRIS ERIC, Netherlands)
- Stuart McLennan (TU, Munich, Germany)
- Martin Krollingger (BSC, Spain)
- Joaquin Dopazo (Hospital Virgen del Rocio, Sevilla, Spain)
- Lassi Paavolainen (FIMM, Univ. Helsinki, Finland)
- Wendell Jones (Q2 solutions, USA)
- Tero Hiekkalinna (THL, Finland)
- John Eriksson (EU CAIM, Finland)
- Kaisa-Hanna Sihvo (Aiforia, Finland)
- Russ Wolfinger (JMP, USA)
- Weida Tong (NCTR, USA)
Learn more and register here.
