Alessandra Pereira Pires
Federal University of São Paulo
Virtual reality as a tool for controlling Aedes aegypti breeding sites
About the Digital Health and Artificial Intelligence Session
Digital technologies and artificial intelligence are transforming public-health research, services and decision-making. This session explores digital platforms, mobile health, telehealth, predictive analytics, intelligent systems, automation and the ethical, privacy and equity considerations associated with technology-enabled healthcare.
Abstract Scope and Participation
Abstracts may cover AI applications, digital interventions, telemedicine, decision-support tools, wearable technologies, data privacy, digital inclusion and implementation challenges. Researchers, clinicians, engineers, data scientists, technology developers, policymakers and public-health professionals are encouraged to participate.
Topics Covered in Digital Health and Artificial Intelligence
Topic 01
Artificial intelligence in public health
Topic 02
Digital health platforms and applications
Topic 03
Telehealth and mobile health
Topic 04
Predictive analytics and decision support
Topic 05
Digital health ethics, privacy and security
Topic 06
Technology access, adoption and digital inclusion
Featured Speakers — Digital Health and Artificial Intelligence 2027
Recent Research Presented at Digital Health and Artificial Intelligence Sessions
Bridging the chasm: Leveraging digital innovation for youth SRHR resilience amid climate shocks in Mashonaland East, Zimbabwe
Context: The climate crisis disproportionately affects Sub-Saharan Africa, with rural Zimbabwean communities suffering from severe, recurrent droughts and exacerbating economic shocks. Adverse sexual…
Immunization intelligence at the last mile: Teeka seekho as a governance-first ai digital learning platform for frontline public health
Background: Digital health can extend immunization workforce learning, but many platforms are disconnected from field workflows, local-language needs, supervision, and governance of AI outputs. Teeka…
Machine learning approach for predicting infant mortality in sub-saharan Africa
Objectives: Infant Mortality (IM) is a serious issue in Sub-Saharan Africa (sSA). Understanding the factors that affect infant health is crucial for saving lives. This study aimed to develop and…
Theory and perspective: Harnessing big data and artificial intelligence to uncover a universal principle for cancer elimination
Although numerous cancer-associated mechanisms are reported each year, a unifying theoretical framework capable of explaining—and ultimately enabling the elimination of—all cancers remains elusive…
Designing and managing intelligent and ethical 5p medicine health and social care ecosystems
Healthcare systems around the world are undergoing an organizational, methodological and technological transformation towards personalized, preventive, predictive, participative precision (5P)…
AI-driven real-time surveillance for infectious disease detection and response in resource-limited settings: Lessons from Kenya
Background: Infectious disease outbreaks continue to pose significant public health challenges globally, particularly in low- and middle-income countries where surveillance systems are often…
Related Scientific Sessions at IPHC 2027
Why Attend the Digital Health and Artificial Intelligence Conference 2027
Earn CPD Credit
Sessions are CPD-accredited; certificates issued to every registered delegate within two weeks of the conference.
Present Your Research
Oral and poster slots for original Digital Health and Artificial Intelligence work, reviewed by the scientific committee.
Network Globally
Meet public health researchers, educators, and policy leaders from around the world across three days.
Publish & Get Indexed
Accepted abstracts appear in the indexed conference proceedings with a citable DOI.
Learn from Keynotes
Plenary lectures from leading voices shaping Digital Health and Artificial Intelligence research and practice.
Hybrid Flexibility
Attend in person in Singapore or join virtually — same programme, same certificate.
Join IPHC 2027 for the Digital Health and Artificial Intelligence track
Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.
Digital Health and Artificial Intelligence Conference 2027 — FAQs
What is the Digital Health and Artificial Intelligence track at IPHC 2027?
The Digital Health and Artificial Intelligence track is a dedicated stream within IPHC 2027 covering the latest research, innovation, and best practice in Digital Health and Artificial Intelligence. It brings together researchers, educators, and practitioners for oral presentations, posters, and discussion.
Who should attend the Digital Health and Artificial Intelligence sessions?
Public health researchers, practitioners, epidemiologists, educators, doctoral students, and policy leaders with an interest in Digital Health and Artificial Intelligence are all welcome — whether presenting or attending.
Can I present my research in the Digital Health and Artificial Intelligence track?
Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.
Is virtual attendance available for Digital Health and Artificial Intelligence sessions?
Yes. IPHC 2027 is a hybrid conference — attend the Digital Health and Artificial Intelligence track in person in Singapore or join live online, with on-demand access afterward.
Join the IPHC 2027 delegation
Singapore · March 15–17, 2027· Hybrid · in-person & virtual
Register as Delegate →
Attend without presenting.