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, 2022

  • Notification: 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  • Long papers: present mature work, published or unpublished.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.