Join the Machine Learning in Medical Imaging Consortium (MaLMIC) for an opportunity to network on machine learning
Computational pathology and cancer prediction
January 19, 2024
3:00 to 4:30 p.m. Eastern
Chair: Anne Martel
This forum will focus on computational pathology for outcome prediction in cancer. Mattias Rantalainen will be the first speaker talking about his research program and the work of Stratipath predictive models that are being translated into the clinic. Faisal Mahmood, will be the second speaker talking about the work in his lab that uses machine learning, data fusion and medical image analysis to develop streamlined workflows for objective diagnosis, prognosis, and biomarker discovery. The presentations will be followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.
Interested in joining? Please contact us.
Computational pathology and cancer prediction
January 19, 2024
3:00 to 4:30 p.m. Eastern
Chair: Anne Martel
This forum will focus on computational pathology for outcome prediction in cancer. Mattias Rantalainen will be the first speaker talking about his research program and the work of Stratipath predictive models that are being translated into the clinic. Faisal Mahmood, will be the second speaker talking about the work in his lab that uses machine learning, data fusion and medical image analysis to develop streamlined workflows for objective diagnosis, prognosis, and biomarker discovery. The presentations will be followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.
Interested in joining? Please contact us.
Mattias Rantalainen, Associate Professor
Karolinska Institutet, Stockholm, Sweden
Talk Title: AI Based Precision Pathology
Faisal Mahmood, PhD
Associate Professor, Harvard Medical School
Title Talk: AI-driven Multimodal Computational Pathology