Introduction
Given the high attrition rates, substantial costs and slow pace of new drug discovery and development, repurposing of 'old' drugs to treat both common and rare diseases is increasingly becoming an attractive proposition because it involves the use of de-risked compounds, with potentially lower overall development costs and shorter development timelines. Various data-driven and experimental approaches have been suggested for the identification of repurposable drug candidates; however, there are also major technological and regulatory challenges that need to be addressed.
As another important aspect of pharmaceutical research, drug-drug interactions (DDI) occur when the presence of another drug modifies the effect of one drug. DDIs are broadly classified into pharmacodynamic (PD: effect vs. time) and pharmacokinetic (PK: concentration vs. time). The investigation of DDIs, focusing on PK, PD, and their relationships, can support the discovery and development of new drugs in the pharmaceutical industry. Developing advanced data mining, machine learning, and natural language processing methods and applying them to Spontaneous reports (e.g., FAERS), electronic health records, and the literature can generate and prioritize DDI hypotheses, which can support large pragmatic randomized trials to confirm actual DDIs.
The goal of this workshop is to provide a unique platform to bring together researchers and practitioners in healthcare informatics working with drug discovery and development, and facilitate close interaction among students, scholars, and industry professionals on pharmaceutical discovery and development challenges worldwide. The workshop will be held on June 26th, 2023, at Huston, Texas, USA, in conjunction with the IEEE International Conference on Healthcare Informatics ( ICHI 2023 ).
Topics of interest
- Real-world evidence based computational drug repurposing
- Drug repurposing based on network medicine and knowledge graph
- Molecular structure generation
- Integrative modeling of multi-modal biomedical data for drug repurposing
- Drug interaction and drug combination therapy prediction.
Call for Submissions
AIPHA will accept both regular papers (4-8 pages, including references) and abstracts (2 pages, including references). Regular papers will describe mature ideas, where a substantial amount of implementation, experimentation, or data collection and analysis has been completed. Abstracts will describe innovative ideas, where preliminary implementation and validation work have been conducted. All submissions should follow IEEE Template. Submissions will be handled electronically through EasyChair. When submitting papers, the authors must select the "AIPHA Workshop" track. Papers must adhere to the IEEE Proceedings Format and be submitted as a single PDF file. Before a submission is sent to the reviewers, the program chairs will perform an assessment to determine the best fit for the submission. AIPHA uses a single-blind two-layer peer reviewing process. The final decision will be made by the program chairs based on at least two reviews by program committee members. All accepted submissions will be presented at the workshop and published in the IEEE ICHI 2023 Proceedings (archived in IEEE Xplore Digital Library).
Agenda
Paper presentations (2:15 PM - 4:20 PM)
Accepted Papers (20 minutes each, 15 minutes for presentation, 5 minutes for discussion)
- Introduction (2:15 PM - 2:20 PM)
- Section I (2:20 PM - 3:20 PM)
- Aokun Chen, Qian Li, Elizabeth Shenkman, Yonghui Wu, Yi Guo and Jiang Bian, (2023), "Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients" (2:20 PM - 2:40 PM)
- Ko-Hong Lin, Jay-Jiguang Zhu, Judith A. Smith, Yejin Kim and Xiaoqian Jiang, (2023), "An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma" (2:40 PM - 3:00 PM)
- Raseen Tariq, Sheza Malik, Mousumi Roy, Meena Islam, Umair Rasheed, Jiang Bian, Kai Zheng and Rui Zhang, (2023), "Assessing ChatGPT for Text Summarization, Simplification and Extraction Tasks (3:00 PM - 3:20 PM)
- Break (3:20 PM - 3:40 PM)
- Section II (3:40 PM - 4:20 PM)
- Yongkang Xiao, Yu Hou, Huixue Zhou, Gayo Diallo, Marcelo Fiszman, Julia Wolfson, Halil Kilicoglu, You Chen, Hua Xu, William G. Mantyh and Rui Zhang, (2023), "Repurposing Drugs for Alzheimer's Diseases through Link Prediction on Biomedical Literature" (3:40 PM - 4:00 PM)
- S M Shamimul Hasan, Greeshma Agasthya, Daniel Santel, Surbhi Bhatnagar, Ian Goethert, Tracy Glauser and John Pestian, (2023), "Application of Unified Medical Language System (UMLS) to Standardize Pediatric Drug Data" (4:00 PM - 4:20 PM)
Organizers
Chairs:
- Rui Zhang, PhD, Associate Professor, University of Minnesota, Minneapolis, MN, USA. zhan1386@umn.edu (contact)
- Fei Wang, PhD, Associate Professor, Weill Cornell Medicine, Cornell University. NYC, NY, USA.
- Chang Su, PhD, Assistant Professor, Temple University, Philadelphia, PA, USA.
- You Chen, PhD, Assistant Professor, Vanderbilt University, Nashville, TN, USA.
Technology Chair:
- Yu Hou, PhD, Research Scientist, University of Minnesota, Minneapolis, MN, USA.
PC Members
- You Chen, Vanderbilt University, Nashville, TN, USA.
- Zhe He, Florida State University, Tallahassee, FL, USA.
- Yu Hou, University of Minnesota, Minneapolis, MN, USA.
- Xia Hu, Rice University, Houston, TX, USA.
- Ying Liu, University of Minnesota, Minneapolis, MN, USA.
- Chang Su, Temple University, Philadelphia, PA, USA.
- Fei Wang, Weill Cornell Medicine, Cornell University. NYC, NY, USA.
- Rui Zhang, University of Minnesota, Minneapolis, MN, USA.
- Sicheng Zhou, University of Minnesota, Minneapolis, MN, USA.
Important Dates
- Deadline for all submissions: March 28st, 2023
- Notification of decisions: April 11th, 2023
- Camera ready workshop papers due: April 21st, 2023
- Workshop date: June 26th, 2023