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Through collaborative efforts, we strive to create sustainable health solutions, promote evidence-based practices, and develop a future-ready healthcare workforce.
Research Based Interventions
Designing data driven human centered interventions.
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Entrepreneurship & Innovations
Developing out of box solutions to solve complex public health challenges.
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Academic Excellence
Training the workforce through interdisciplinary programs and curriculum pathways.
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Technology Based Solutions
Building relevant tools to enable evidence informed solutions.
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Employment Creation and Readiness
Empowering individuals to make the world a better place through research, innovation, skills and entrepreneurship.
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Student Centered
Preparing community of learners, practitioners and leaders through experiential learning & mentorship opportunities.
Explore Opportunities ›Unlock your career
FHTS offers several opportunities for all who are interested in population health research, and design, development and implementation of technology enabled interventions to make data meaningful and address growing challenges of the 21st century. FHTS has created programs and opportunities for individuals interested to solving these challenges using data driven, evidence-based, interventions, programs and policies that can facilitate informed decision making.
v-INSPIRE
A Virtual Interactive Novel Support Program for Innovation, Research, and Entrepreneurship aims to address population health challenges of the 21st century. v-INSPIRE focuses on addressing the 21st-century health challenges through a virtual platform that facilitates learning, collaboration, and innovation.
Digital Intervention versus WHO PEN Approach
This multicentric mixed-methods quasi-experimental study evaluates digital interventions versus the WHO-PEN approach for NCD control in India’s urban slums, assessing their feasibility, effectiveness, and impact on risk factors, adherence, and healthcare utilization.
Digital Health Innovations
Interactive dashboards for smarter healthcare analysis and decisions
COPHI (Community Of Population Health Informatics) is a discussion board where individuals respond to content, teach each other, learn by stating and understanding.
Topic: AI-Driven Disease Surveillance and Early Outbreak Detection
Facts about FHTS
We are social
See what’s happening ‘socially’
We are delighted to have our new cohort of interns from @maharshi.dayananduniversity (MDU), Rohtak, all pursuing their Bachelor`s in Public Health, joined us for a hybrid internship at @smaart.fhts Delhi Office under the v-INSPIRE Public Health Experiential Learning Program, where they will gain hands-on experience in the ongoing funded ICMR Study. In addition, each intern will be assigned a mentor who will guide them throughout their internship tenure across various assignments that are part of the v-INSPIRE Curriculum.
This internship is offered under v-INSPIRE Public Health, an experiential learning program that aims to address population health challenges of the 21st century by enhancing the academic and non-academic skills of students through an innovative and participatory experiential learning experience. The Program offers Internships, Dissertations, Teaching Assistantships and Fellowships. This workforce preparedness initiative has been crafted by Dr. @ashish_joshi_phd,MBBS,MPH, under whose guidance and leadership FHTS has trained 1200+ interns from 15 different countries, representing 240+ institutes and universities.
PAYAL SHARMA | Tamana Olhyan | Ishita Sharma | Sneha Kashyap | Sarik Khan | #ronityadav | #janvinadal | #vanshulkumar
Sep 23
AI for Climate Change and Public Health Risk Prediction
Climate change is increasingly becoming a public health challenge. Heatwaves, extreme weather, air pollution, and changing rainfall patterns can affect infectious diseases, respiratory health, cardiovascular conditions, and mental wellbeing.
AI can help connect climate, environmental, population, and health data to identify patterns and predict health risks. These insights could give health systems more time to prepare, strengthen early warning systems, and protect communities most at risk.
But prediction alone is not enough. Data quality, bias, privacy, infrastructure, and the ability to translate predictions into local action remain critical challenges. Responsible AI must complement not replace public health expertise and human decision-making.
This discussion is open on COPHI (Community of Population Health Informatics), a discussion forum anchored in the SMAART framework and envisioned by Dr. @ashish_joshi_phd,MBBS,MPH
Share your views on:
1. How can AI strengthen climate-related health risk prediction?
2. How can AI-generated warnings be translated into timely public health action?
3. What challenges must be addressed to make these systems reliable and equitable, especially in resource-limited settings?
Share your experiences, perspectives, and evidence-informed ideas.
Join the discussion: https: https://smaartlab.org/discussion-board/public-health-interventions-ai-in-public-health/ai-for-climate-change-and-public-health-risk-prediction/
#AIinPublicHealth #ClimateHealth #ClimateChange #PublicHealth #COPHI #PopulationHealth #SMAART #HealthTech #ClimateResilience #EarlyWarningSystems
Sep 22
This Week on SHINE: Global Nutrition & Health Updates 🌍
This week, the @who announced a major step toward improving access to quality-assured, child-friendly cancer medicines, with a new call for manufacturers to submit priority childhood cancer medicines for evaluation.
With an estimated 400,000 children and adolescents developing cancer every year, and nearly 90% living in low- and middle-income countries, improving access to appropriate medicines remains a critical global health priority.
This is the kind of global health development SHINE brings together.
Launched in 2021, SHINE is a global platform for Nutrition Informatics, connecting nutrition, information, and technology to support evidence-based practice, research, programs, and policies.
📌 Every week, SHINE brings you:
- Global health & nutrition happenings
- Emerging evidence and research
- Policy & practice updates
- Innovations and success stories
Stay informed. Stay connected. Stay ahead with SHINE.
Visit our website to know more: https://nutritioninformatics.info/
#SHINE #NutritionInformatics #GlobalNutrition #PublicHealth
Sep 17
AI-Driven Disease Surveillance & Early Outbreak Detection
Disease outbreaks often begin with scattered warning signs across hospitals, laboratories, news, social media, environmental data, and more. AI can help connect these signals, using machine learning and natural language processing to identify unusual patterns and strengthen early warning systems.
Initiatives such as WHO’s Epidemic Intelligence from Open Sources (EIOS) demonstrate how technology can support near-real-time monitoring of public health threats.
AI can combine epidemiological data, web reports, climate patterns, wastewater surveillance, and mobility data to strengthen outbreak detection. But AI is not a replacement for epidemiologists- it is a partner. Data quality, reporting gaps, algorithmic bias, infrastructure limitations, and privacy concerns make human verification essential before AI-generated signals inform action.
This discussion is open on COPHI (Community of Population Health Informatics), a discussion forum anchored in the SMAART framework and envisioned by @ashish_joshi_phd.
Share your views:
1. How can AI be integrated into disease surveillance without compromising accuracy or trust?
2. What role should human oversight play in verifying AI-generated outbreak signals?
3. What challenges- data quality, bias, infrastructure, or others- must be addressed, especially in resource-limited settings?
Share your experiences, perspectives, and evidence-informed ideas on strengthening outbreak preparedness through responsible AI use.
Join the discussion now: https://smaartlab.org/discussion-board/public-health-interventions-ai-in-public-health/ai-driven-disease-surveillance-and-early-outbreak-detection/
#AIinPublicHealth #DiseaseSurveillance #OutbreakDetection #PublicHealth #COPHI #PopulationHealth #SMAART #HealthTech #EpidemicIntelligence #healthawareness
www.fhts.ac.in , www.smaartlab.org
call us on +91-8527897771 or write to us [email protected]
Sep 17
