Announcements of conferences, workshops, schools…
Due to the large number of posts recently, there is currently a delay of several weeks between posts being submitted and the corresponding emails being distributed to all users. Please bear with us while we try to improve this. In the meantime – and until this notice is removed – it would assist us considerably if you could submit only important and/or urgent posts and thus help to reduce the size of the mail queue. Under no circumstances should you resend posts multiple times when you find the emails are not distributed immediately.
In light of the Russian military offensive in Ukraine, we request that announcements relating to events, jobs and other activities associated with institutions supported by the Russian and Belarusian states are not posted to the Psi-k forum.
Artificial Intelligence and Machine Learning in ... (No replies)
Back to Event listings...
We are excited to announce the 3rd NCI and Intersect Showcase event entitled Artificial Intelligence and Machine Learning in Cancer Research. Four expert presentations will showcase state-of-the-art research activity aimed at enhancing cancer research by integrating artificial intelligence (AI) and machine learning (ML) techniques. Internationally renowned speakers reveal how large, high-quality datasets coupled with ML and analysis algorithms can play a vital role in the process of cancer research. The presentations will be of great interest for scientists interested in the field of AI / ML in tissue imaging, cancer diagnose, drug design, and treatment – and more broadly in biomedical applications - from graduate research students to early career researchers and beyond. Please join us online in this fantastic array of masterclasses!
Date & Time
Friday 23rd June 10am - 2pm 2023 (AEST)
Thursday 22nd June 8pm - 12pm midnight (EDT)
Thursday 22nd June 7pm - 11pm (CDT)
Thursday 22nd June 6pm – 10pm (MDT)
Speakers
Dr Jennifer Couch (National Cancer Institute, USA)
Title: Opportunities and Barriers to Effective Use of AI in Cancer Research
Dr Yitan Zhu (Argonne National Lab, USA)
Title: Computational prediction of anti-cancer drug response in preclinical drug screening experiments using machine learning and deep learning approaches
Dr Jayashree Kalpathy-Cramer (University of Colorado)
Title: Opportunities and Challenges for Medical Imaging AI: Lessons from Oncology
Prof Fred Prior (University of Arkansas for Medical Sciences)
Title: Generative Adversarial Networks for Synthetic Cancer Data
Moderator
Dr David Chalmers (Monash University)
To FIND OUT MORE, please click this link: 3rd Showcase 2023 — Intersect
Please REGISTER via this link: https://inter.fyi/JhsWE
Contact
Dr Meiyun Chang-Smith ([email protected])