PharML 2022
Machine Learning for Pharma and Healthcare Applications
Workshop at ECML PKDD 2022
September 19, 2022
Location: Grenoble, France
Call for Papers
The main focus area of our workshop will be on applications of machine learning in pharmaceutical and healthcare settings. It will be a platform for researchers working in industry and academia on various applications of machine learning in these fields.
Topics of Interest:
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.
Important dates:
Submission Deadline:
June 20, 2022; extended to June 27, 2022Notification: July 21, 2022 (extended from July 13, 2022)
Workshop date: Monday, September 19, 2022 (in-person)
Paper 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Long papers: present mature work, published or unpublished.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.
Additional guidelines:
All manuscripts will be peer-reviewed, double-blinded.
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.
Paper publication:
The PharML workshop will partner again this year with Springer to publish the workshop proceedings (See link for 2021 proceedings)
Only unpublished work or extended versions of the abstracts are eligible for publication in the workshop proceedings.