ICPDA-MH 2026 International Conference on Pharmacy, Data Analytics & Maternal Health

Advancing Pharmaceutical Science, Data-Driven Healthcare & Maternal Wellbeing

ICPDA-MH 2026

Bringing together researchers, healthcare professionals, pharmacists, data scientists, academics, and innovators to explore evidence-based solutions for better healthcare outcomes.

💊 Pharmacy & Pharmaceutical Sciences
Pharmacists • Pharmaceutical Researchers • Pharmacologists • Industry

📊 Data & Healthcare Analytics
Data Scientists • AI Researchers • Health Informatics • Analysts

🤰 Maternal & Women’s Health
Obstetricians • Gynecologists • Midwives • Nurses • Public Health Researchers

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Welcome to ICPDA-MH 2026

The conference aims to bring together pharmaceutical scientists, healthcare professionals, data scientists, researchers, and academics to explore innovative, evidence-based approaches to pharmaceutical sciences, healthcare analytics, and maternal health, while contributing to internationally recognized healthcare priorities.

Authors are invited to submit original, unpublished research articles, case studies, and technical papers in (but not limited to) the following areas:

  1. 1. Pharmacy & Pharmaceutical Sciences

    • Clinical pharmacy and pharmacotherapy
    • Pharmaceutical formulation and drug delivery
    • Pharmacovigilance and medication safety
    • Drug discovery and development
    • Pharmaceutical biotechnology
    • Community and hospital pharmacy
    • Personalized medicine
    • AI and digital technologies in pharmacy

    2. Data Analytics in Healthcare

    • Healthcare data analytics
    • Predictive analytics and clinical decision support
    • Machine learning in healthcare
    • Health informatics and digital health
    • Big data in medicine and pharmacy
    • Medical data visualization
    • Epidemiological data analysis
    • AI-driven healthcare systems

    3. Maternal & Women’s Health

    • Maternal and neonatal healthcare
    • Pregnancy and childbirth outcomes
    • Maternal nutrition
    • Prenatal and postnatal care
    • Maternal mortality and morbidity
    • High-risk pregnancy
    • Reproductive health
    • Digital technologies for maternal care

    4. Intersection of the Three Fields
    This is actually the part I’d make the signature track, because it makes the conference feel more unique rather than like three unrelated subjects.

    • Data analytics for maternal health
    • Predictive models for pregnancy complications
    • Medication safety during pregnancy
    • Pharmacovigilance in maternal care
    • AI-assisted maternal healthcare
    • Digital pharmacy and women’s health
    • Data-driven maternal and neonatal outcomes
    • Personalized treatment during pregnancy

Conference Guidelines

  • Authors are invited to submit full papers (4–8 pages) describing original research.

  • Submissions should follow the IEEE/ACM conference paper format.

  • Papers will undergo double-blind peer review.

  • Accepted papers will be published in the conference proceedings and submitted for indexing in Google Scholar.

Conference Objectives

    • Advance Pharmaceutical Research
      Promote research in pharmaceutical sciences, drug development, pharmacotherapy, medication safety, and pharmacovigilance.

    • Promote Data-Driven Healthcare
      Encourage the use of data analytics, artificial intelligence, machine learning, and health informatics to improve healthcare research and decision-making.

    • Improve Maternal Health Outcomes
      Support research addressing pregnancy, childbirth, maternal morbidity and mortality, prenatal care, postnatal care, and maternal wellbeing, aligned with internationally recognized public-health priorities including those of the World Health Organization (WHO).

    • Connect Pharmacy & Maternal Health
      Encourage research on medication safety, pharmacotherapy, pharmacovigilance, and pharmaceutical care during pregnancy and the postpartum period.

    • Encourage Interdisciplinary Research
      Bring together pharmacists, healthcare professionals, researchers, data scientists, academics, and public-health specialists.

Conference Chair

Shweta Puri

Next Door Employee

Samira Kanwal

Lecturer CS&IT Department Poonch University Rawalakot

Annie Phan

Head Ai Solution Architect, Diligent Corporation

Yanming Liu

Zhejiang University Email: oceann24@zju.edu.cn

Program Committee

  • Atika Nishat                  atika@interviauniversity.com

Sponsors & Partners

  • Nuzm Tech Solutions 
  • Intervia University 
  • Data Vision Global

Important Details...

MilestoneDate
Call for Papers OpensOctober 5, 2026
Abstract Submission DeadlineOctober 25, 2026
Full Paper Submission DeadlineNovember 5, 2026
Notification of AcceptanceNovember 12, 2026
Early Registration DeadlineNovember 15, 2026
Regular Registration DeadlineNovember 25, 2026
Camera-Ready SubmissionNovember 28, 2026
Conference DatesDecember 18–19, 2026

Publish Proceedings

All papers will be Published in these Journals.

Who Should Attend?

The ICPDA-MH 2026 welcomes:

  • Pharmacists & Clinical Pharmacists
  • Pharmaceutical Scientists & Researchers
  • Pharmacologists & Toxicologists
  • Physicians & Medical Researchers
  • Obstetricians & Gynecologists
  • Midwives & Maternal Health Professionals
  • Nurses & Allied Health Professionals
  • Public Health Professionals
  • Epidemiologists
  • Data Scientists & Data Analysts
  • AI & Machine Learning Researchers
  • Health Informatics Professionals
  • Digital Health & Healthcare Technology Specialists

Contact

All questions about submissions should be emailed to atika@interviauniversity.com