about

What is DigiHealth?

DigiHealth is an initiative of Data Science Conference (DSC) - one of the biggest movements dedicated to AI & data science - which aims to extend its scope into the creative use of AI & data in the fields of Healthtech. The main topic of the one-day conference will be practical and creative uses of AI & data science in Bio, Med and Health industries.

DigiHealth is realized in collaboration with the Health Tech Lab, a leading organization in Bio, Med & Health in Serbia, and the Advanced medical technology and biotechnology supercluster.

DigiHealth Program

Main program is aiming to attract all AI, ML & Data professionals working in the Bio, Med and Health industries, as well as academia representatives and researchers, managers and decision makers. During a full day of the conference, we will be covering these topics:
service
Mining and Managing Medical Data
service
Healthcare Business Transformation
program
Biostatistics with Big Data
program
AI in Diagnostics

WHY SUPPORT US?

Conference dedicated to Bio, Med and Health tech

service

BRAND AWARENESS

Present your team. Promote your products. Position yourself as a leading company in the field.

service

TALENT ACQUISITION

Does your team need new members? Engage with them here!

service

LEAD GENERATION

Create special content with us that will be of interest to your regular partners and potential customers, and attract clients you hardly reach.     
           

service

BROADEN YOUR NETWORK

Connect directly with more than 150 bio and medical sector professionals and enthusiasts. Take place in the expo zone with over 1.000 HealthTech & data lovers. Create new business opportunities.

service

SHOWCASE YOUR SOLUTIONS

A good use-case story is the best reference. Let’s hear more about your intended solutions.

service

COMMUNITY CONTRIBUTION

Developing the Bio, Med & Health ecosystem in Europe. Let’s change the world through data together!

Schedule

Official opening

9:15-9:30

Opening keynote

Zoran Bursac, R for Data Science in Public Health

9:45-10:30

This presentation will highlight the use of R and RStudio applications for several public health areas we study at FIU, such as COVID pandemic, social determinants of health, disaster exposure and mental health, and substance abuse, to name some. It will highlight R packages, shiny apps and other tools, platforms and codes that our team developed to tackle these important public health issues.

AI in Diagnostics

- Tamara Papic, What do we mean by AI in healthcare? Workforce, Regulations, Scaling.

In times of pandemic AI is now top-of-mind for healthcare decision makers, governments, innovators and investors. How AI will change the healthcare workforce, and how to encourage the introduction and scaling of AI in healthcare? Understanding the threats and opportunities.

- Dr Ivan Soldatovic, Biostatistics as a baseline for further AI in the Medtech ,
Institut za Medicinsku stastistiku i informatiku, Medicinski fakultet u Beogradu

Medical care industries are applying AI to make a better and faster diagnosis than humans. AI can help doctors with diagnoses and can inform when patients are worsening so that medical help can reach to the patient before hospitalization. In this talk we are going to show you how AI and Machine learning can be used to improve infant care and save baby's life.

10:30-11:30

Coffe Break

11:30-11:45

AI in Diagnostics

- Kristijan Saric, Artificial intelligence in medicine

A presentation about the algorithms and capabilities of AI in medicine, along some of the work for the presenter. Kristijan is a developer with 15 years of experience, Haskeller, ML practitioner.

- Dinidh O'Brien, Data Altruism, Web3, and Solving Bias in Medical Data

Bias and a lack of demographic representation in medical data are fundamental issues holding up progress in medical research. As more and more Artificial Intelligence and Machine Learning programs come online, the quality, provenance, and representation of the data used to train them is coming increasingly into focus. This talk presents a solution to this €100BN/year medical data problem, a solution based on the principles of data altruism, privacy and consent, stakeholder incentivisation, and using the best of Web3 technologies to enable legal compliance and global scalability.

11:45-12:45

Lunch break

12:45-14:15

Panel Discussion

Filip MaljkovicTelemedicine Application in Healthcare , moderator: Ivana Kostic

14:15-14:45

Big Data in Healthcare

- Marko Zecevic, Genome-Wide Association Study of COVID-19 Outcomes Reveals Novel Host Genetic Risk Loci in the Serbian Population

Host genetics, an important contributor to the COVID-19 clinical susceptibility and severity, currently is the focus of multiple genome-wide association studies (GWAS) in populations affected by the pandemic. This is the first study from Serbia that performed a GWAS of COVID-19 outcomes to identify genetic risk markers of disease severity.

- Nemanja Rancic, How we implemented e-recept and e-file in Serbian Healthcare system

14:45-15:45

Coffe Break

15:45-16:00

Healthcare Business Transformation

- Josema Cavanillas, Smarter, better and cheaper Health Research

The practice of research in life sciences is a complex process. Many researchers try to reflect their work in excel sheets, or other non-professional means. However, there are very professional approaches to store and keep alive research information all across the preclinical and clinical research stages.

- Sofija Milunov, IT business processes within healthcare organization

Everyone talks about IT business processes, but it seems like there is a quite some confusion regarding them. On this session, we will talk about IT business processes in Stada IT Solutions, an healthcare organization. First, we will tell you how our data team used to work two and a half years ago, when I joined the company, how we are organized now and all the problems we have met during our improvement journey, and what our future work will be.

- Ognjen Milicevic, Accelerating drug research with AI and cloud computing

16:00-17:30

Official closing

17:30-17:45

Meet Our Speakers

team-membar
Amitabh Saxena
CEO

 

Anexas

team-membar
Andrija Petrović
Senior Machine learning scientist

University of Belgrade / Happiest Baby

team-membar
Josema Cavanillas
VP - Head of Health & Life Sciences Sales for South & Eastern Europe

Atos

team-membar
Kristijan Saric
CEO/Developer

 

EXACT BYTE d.o.o.

team-membar
Zoran Bursać
Chair Professor 

Florida International University

team-membar
Matilda Andersson
Machine Learning Engineer

Cur8

team-membar
Sofija Milunov
Business Intelligence Developer

Stada IT Solution

team-membar
Tamara Papić
CEO
 

BABY FM

Tickets

DON’T MISS THIS AMAZING CONFERENCE AND OPPORTUNITIES!

Contact

team-membar
Damjan Damjanović
Conference Director

DigiHealth 22

  • +381 (0)63 201 874
  • d.damnjanovic@datasciconference.com
team-membar
Miloš Mirković
Project Manager

DigiHealth 22

  • +381 (0)64 3955 242
  • m.mirkovic@datasciconference.com