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.
Conference dedicated to Bio, Med and Health tech
Present your team. Promote your products. Position yourself as a leading company in the field.
Does your team need new members? Engage with them here!
Create special content with us that will be of interest to your regular partners and potential customers, and attract clients you hardly reach.
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.
A good use-case story is the best reference. Let’s hear more about your intended solutions.
Developing the Bio, Med & Health ecosystem in Europe. Let’s change the world through data together!
Zoran Bursac, R for Data Science in Public Health
9:45-10:30This 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.
- 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
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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- 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.
11:45-12:45Filip MaljkovicTelemedicine Application in Healthcare , moderator: Ivana Kostic
14:15-14:45- 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.
- Nikola Rancic, How we implemented e-recept and e-file in Serbian Healthcare system
14:45-15:45- 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, Budget friendly sample sizes for genomics research
16:00-17:30
Anexas
University of Belgrade / Happiest Baby
Atos
EXACT BYTE d.o.o.
Florida International University
Cur8
Stada IT Solution
BABY FM
DON’T MISS THIS AMAZING CONFERENCE AND OPPORTUNITIES!
DigiHealth 22
DigiHealth 22
