CFP
PharML 2022: Applications of Machine Learning in Pharma and Healthcare World Trade Center Grenoble Convention Center Grenoble, France, September 19-23, 2022 |
Conference website | https://sites.google.com/view/pharml2022 |
Submission link | https://easychair.org/conferences/?conf=pharml2022 |
Abstract registration deadline | June 20, 2022 |
Submission deadline | June 20, 2022 |
Topics: domain adaptation machine learning for survival analysis causal inference and learning multimodal and data fusion
We invite contributions from both industry and academia to share their research and experience in using artificial intelligence and machine learning methods in pharmaceutical and healthcare research and development. PharML will be held at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) on September 19, 2022 in Grenoble, France.
Submission Guidelines
We invite authors to submit their work in either an abstract or extended format.
- Research abstracts: describe preliminary results and are meant to foster discussion of emerging topics. Maximum of 6 pages.
- Long papers: present mature work, published or unpublished. Maximum of 16 pages.
Authors of accepted papers will be notified whether their paper is selected for oral presentation or poster session.
Important Dates
- Submission deadline: June 27, 2022
- Notification: July 13, 2022
- Workshop date: Monday, September 19, 2022 (in person)
Additional Guidelines
- Authors should commit to present their work at the workshop in case it is accepted for an oral presentation or poster.
- Abstracts and papers should be in PDF format, following the Springer Lecture Notes in Computer Science style (See link for LaTeX template).
- Submissions should be done via the workshop EasyChair page.
Publication
- The PharML workshop will partner again this year with Springer to publish the workshop proceedings (See link for PharML 2021 Proceedings).
- Only unpublished work or extended versions of the abstracts are eligible for publication in the workshop proceedings.
List of Topics
- Machine learning for survival analysis
- Methods for learning from time-to-event data to build prognostic or treatment-predictive models.
- Causal inference and learning
- Predicting the impact of interventions and discovering causal relationships from observational data.
- Domain adaptation
- Techniques for adapting models to new domains, to learn relationships between different domains, and to improve model generalization.
- Multimodal and data fusion
- Leveraging multiple modalities including images, molecular data, text, and sensor data.
- Applied machine-learning
- Drug Design and Discovery
- Translational Medicine
- Earlier Diagnosis and Differential Diagnosis
- Personalized Healthcare and Precision Medicine
- Patient Safety, Pharmacovigilance, and Toxicity Prediction
- Patient Monitoring and Diagnostic Surveillance
- Medical Devices and Digital Endpoints
- Clinical Decision Support
- Cardiology, oncology, transplantation, neurology, histopathology, etc.
Committees
Organizing Committee
- Lee Cooper (Northwestern University, USA)
- Naghmeh Ghazaleh (Roche, Switzerland)
- Jonas Richiardi (Lausanne University Hospital and University of Lausanne, Switzerland)
- Damian Roqueiro (Roche, Switzerland)
- Diego Saldana (Novartis, Switzerland)
- Konstantinos Sechidis (Novartis, Switzerland)
Program Committee
- To be announced soon...
Invited Speakers
- Keynote from academia: Mihaela van der Schaar (University of Cambridge and The Alan Turing Institute)
- Keynote from industry: Sarah McGough (Roche/Genentech)
Contact
- Visit the official website of the workshop for additional details.
If you have questions, please send us an e-mail to: pharml2022 [at] easychair [dot] org