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• Long papers: present mature work, published or unpublished.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