CFP: Workshop on Machine Learning for Pharma and Healthcare Applications (PharML) - Deadline June 29, 2025

[Damian Roqueiro]

We invite contributions from both industry and academia to share their research and experience in using Machine Learning methods for pharmaceutical and healthcare research and development. PharML will be held in person at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) in Porto, Portugal.

The main focus area of our workshop will be on applications of machine learning in pharmaceutical and healthcare settings and is a platform to engage researchers in industry and academia working in these fields.

This is the 5th. iteration of PharML at ECML-PKDD. Dive into the history of our past meetings (2020, 2021, 2022, 2023) and join us this year as we continue to push the boundaries of innovation and discovery in machine learning for pharma and healthcare.

Topics of Interest

• Large Language Models and Transformers for Pharma

  • Scientific knowledge extraction

  • Assisted indication selection

  • Assisted Medical Writing

  • Therapeutic antibody and protein representations

  • Single cell transcriptome representations

• Learning on Graphs

  • Node and link prediction on molecular graphs

  • Modeling dynamic graphs

  • Biological pathway mining for biomarker discovery

  • Representing patients and molecules as graphs

• Causal inference and learning

  • Predicting the impact of interventions and discovering causal relationships from observational data.

• Machine learning for survival analysis

  • Methods for learning from time-to-event data to build prognostic or treatment-predictive models.

• 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

  • Prognostic enrichment and futility analysis

Workshop Program

The workshop will feature:

• Invited keynote speakers from academia and industry. 

• Presentations of selected papers and a poster session.
  
  

The full program will be posted on the workshop's website in due course.

Important dates

• Submission Deadline: June 29, 2025 (AoE)

• Notification: July 14, 2025

• Camera-read Submission: To be announced

• Workshop date: To be confirmed

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, and the review process will be strictly double-blind. 

• All submissions must be anonymous. Ensure the document(s) you upload does not contain names, affiliations, acknowledgments or any information that can be used to identify you directly. Replace the author information with "Anonymous".  Avoid including URLs of GitHub repositories linked to you. 

• Manuscripts 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 Conference Management Toolkit (CMT) page (link). Follow these steps to submit your manuscript:

  1. In the “Submissions” tab, make sure the selected conference is “ECMLPKDDWorkshopTrack2025”.

  2. When you click the button “+ Create new submission”, select “PharML, Machine Learning for Pharma and Healthcare Applications” as the track.

Paper publication

• The PharML workshop will partner again this year with Springer to publish the workshop proceedings (See for example, link to 2023 proceedings)

• Only unpublished work or extended versions of the abstracts are eligible for publication in the workshop proceedings.
  
  

Important note from the Conference Organizers: accepted manuscripts at the workshop without a full registration of one of the authors or in-presence presentation will not be included in the workshop proceedings.