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. Our vision for this event is to gather high-quality professionals and change Healthtech through data

DigiHealth Content

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. You can find a more detailed program and schedule for the whole DSC Europe event here During 2 days of the conference, we will be covering these topics:
service
AI in Diagnostics
service
Mining & Managing Medical Data
program
Clinical Research Analytics
program
Ambient health Monitoring
service
Imaging
service
Healthcare Business Transformation
program
Biostatistics with Big Data
program
Drug Research with AI

WHY ATTEND?

Conference dedicated to Bio, Med, Pharma 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

Day 1

23rd November

Official opening
9:00-9:15

Opening keynote

A Sustainable Future for Learning AI in Healthcare - by Dimitrios Kalogeropoulos, Chief Executive, Global Health & Digital Innovation Foundation

9:15-10:00

Learning applications of AI have the power to utilize data to identify effective treatments, accelerate innovation and support decisions in clinical settings. Accelerating translational biomedical research and knowledge discovery is the most economically and socially valuable of all the uses of the AI tools available. Meaningful uses include early disease pathway detection, precision treatment, and the acquisition and analysis of early biomarkers and other telehealth data for primordial prevention, improved quality and patient-centric outcomes. Significant challenges are in the way of this future. We propose an elevated but meaningful role for AI that extends current practice in knowledge discovery with data recycling. An ecosystem model that reciprocally supports AI deployments in healthcare by enabling digital cooperation and connected AI applications for circular economies and biomedical discovery critical to viable and robust machine-learning paradigms.

Healthcare Business Transformation

How may AI help you? - Healthcare - by Ligia Kornowska, Leader, AI in Health Coalition

10:00-10:30

How AI is changing healthcare in Poland and CEE region? How can we implement AI solutions in health entities successfully? What are the obstacles? What will the future of healthcare look like?

Hospital Network Advisory: Listen to your meta data! - by Josema Cavanillas, Global Head of HCI Technology Consulting, Atos

10:30-11:00
Coffee Break
11:00-11:30

Healthcare Business Transformation

AI and Blockchain Framework for Healthcare Applications - By Muthu Ramachandran Research Consultant and Visiting Professor, AI Tech and Forti5 Tech

11:30-12:00

Blockchain applications in healthcare have grown rapidly and it includes record keeping, clinical trials, medical supply chains, patient monitoring, etc. where Blockchain characteristics are needed to improve safety, privacy, and security. AI and blockchain are among the most disruptive technologies and the integration of these two technologies will fundamentally reshape how we live, work, and interact. However, Porru, et. al (2017) have reported it lacks processes, tools, and techniques. Therefore, this paper provides a systematic framework for a secure and sustainable software engineering framework for healthcare blockchain applications. Secure and Sustainable Software Engineering Framework for Healthcare Blockchain Applications (S3EF-HBCA) significant contribution includes requirements engineering for healthcare, business process modelling for healthcare, domain modelling for healthcare, a reference architecture for healthcare, and validation by case study on Electronic Healthcare Record Management System (EHR), and simulation with Business Process Modelling Notation (BPMN) tools. The simulation shows it has taken 10.45 minutes to process 100 instances of real-time data and service requests. The overall result shows encouragement in terms of process, tools, standards, and testing.

Building a Safety Net for Healthcare: Enhancing Medical Mask Compliance with AI - by Jovan Bubonja, Applied Scientist, TomTom

12:00-12:30

Join us in exploring the future of healthcare safety with our AI-powered system. Our presentation showcases the transformative potential of Computer Vision in safeguarding public health, harnessing the data generated during the COVID-19 pandemic. Discover how our new benchmark dataset enables full utilization of DNN-based object detectors, addressing the critical issue of proper mask usage through a sophisticated blend of object detection, facial landmark detection, and clever heuristics. We look forward to seeing you and invite you to experience the capabilities of AI firsthand through our live demo.

Panel discussion

Future Trends in AI-Enhanced Healthcare: Insights from Industry and Academic Thought Leaders.

Mohamed Ramzi, Ognjen Milicevic, Nevena Veljkovic, Nebojsa Sabovic

12:30-13:15
Lunch Break
13:15-14:45

Gene Research with AI

Machine Learning Techniques for Omics Data Analysis - by Vesna Pajic, Bioinformatics Scientist, Velsera

14:45-15:30

In the last 15 years and more, Next Generation Sequencing technology has being developed constantly to become a powerful tool for getting insight into different biological processes within cells, tissues and organisms. The data coming from NGS have all properties of big data. In this talk, I will cover basic ML techniques used for their processing.

Do Androids Dream of Human Doctors? - by Ognjen Milicevic, Ml Tech Lead, HTEC

15:30-16:00

TBA - by Branka Zukic

16:00-16:30
Coffee Break
16:30-17:00

Mining & Managing Medical Data

Network neuroscience: where the brain and social networks works the same - by Ilya Zakharov, Senior researcher, Brainify.AI

17:00-17:30

Brain is the interconnected hub of billions of neurons. Apparently, these billions of neurons communicate with each other somewhat in the same way as billions of people. Network neuroscience, a cutting-edge field, is dedicated to understanding these fascinating parallels. This talk will shine a spotlight on the latest discoveries and insights from this exciting domain.

TBA - by Healthly

17:30-18:00

Schedule

Day 2

24th November

Keynote

TBA - by Anja Baresic, Rudjer Boskovic Institute

9:15-10:00

Drug and Clinical Research Analytics

Navigating the Kinetics & Dynamics of Drugs Through Data Insights for Informed Therapeutic Strategies - by Katarina Vucicevic, Full Professor of Pharmacokinetics, University of Belgrade - Faculty of Pharmacy

10:00-10:30

Understanding how drugs interact with biological systems is paramount for informed and effective therapeutic strategies. The focus of the presentation is the integration of data-driven approaches in deciphering the complexities of drug behavior within the human body. The talk will highlight the power of advanced statistical methods and data visualization in extracting meaningful insights from pharmacokinetic and pharmacodynamic data. By examining patient-specific factors and tailoring interventions based on the individual responses, the optimization of treatment outcomes and minimization of adverse effects is achieved. Real-world data and developed models will be showcased to exemplify the application of the methodology.

Improved Classification and Interpretation of EEG Data Using 3D SNN for STDP Learning and ESN as an On-Line Learning Classifier - by Dimitar Penkov

10:30-11:00

Novel hierarchical recurrent neural network architecture for on-line classification and interpretation of EEG data. It incorporates two dynamic pools of neurons - one based on NeuCube three dimensional structure of spiking neurons, spatially mapping a brain template and connected via spike-timing dependent plastic synapses and another Echo state neural network reservoir of sparsely connected hyperbolic tangent neurons that is able to learn on-line to classify continuously extracted from the Cube spike-rate features. The aim of the work was to interpret and classify in a brain-inspired manner dynamic spatio-temporal brain signals.

Coffee Break
11:00-11:30

Drug and Clinical Research Analytics

TBA - by Milos Todorovic, Founder, Ovio Care

11:30-12:00

TBA - by Uros Vilmanovic, Director, Clinical data Operations

12:00-12:30

Keynote

TBA - by Vladimir Brusic, Professor in Computer Science, University of Nottingham Ningbo China

12:30-13:15
Lunch Break
13:15-14:30

AI in Diagnostics & Medical Imaging

TBA - by Tomislav Krizan, CEO, Attomic Intelligence

14:30-15:00

Use-case: Using a data-driven approach in treating a serious medical condition - by Goran Dumic, Principal consultant, Syntio

15:00-15:30

We might never truly understand the power of data until seeing it save a life. This is a story about the importance of personalization in medical science and two parents fighting their child's epilepsy using data analytics when all standard protocols failed.

Coffee Break
15:30-16:00

AI in Diagnostics & Medical Imaging

Computer Vision in Melanoma Detection - by Djordje Hirs, Data Science Manager, Yettel

16:00-16:30

Application of AI in early melanoma detection

Speakers 2023

team-membar
Josema Cavanillas
Global Head of HCI Technology Consulting

team-membar
Dimitrios Kalogeropoulos
Chief Executive

team-membar
Mohamed-Ramzi Temanni
Head of AI for Systems Biology
team-membar
Vesna Pajic
Bioinformatics Scientist

 
team-membar
Ligia Kornowska
Leader
 
team-membar
Ognjen Milicevic
ML Tech Lead & Assistant Professor
team-membar
Vladimir Brusic
Professor in Computer Science
team-membar
Djordje Hirs
Data Science Manager

team-membar
Ilya Zakharov
Senior Researcher
team-membar
Goran Dumic
Principal Consultant
team-membar
Branka Zukic
Full research professor
team-membar
Dimitar Penkov
Specialist
team-membar
Katarina Vucicevic
Full Professor of Pharmacokinetics

team-membar
Muthu Ramachandran
Research Consultant and Visiting Professor
team-membar
Nevena Veljkovic



team-membar
Tomislav Krizan
CEO


team-membar
Uros Vilmanovic
Director
team-membar
Jovan Bubonja
Applied Scientist

Previous Speakers

team-membar
Amitabh Saxena
CEO

 

Anexas

team-membar
Andrija Petrović
Senior Machine learning scientist

University of Belgrade / Happiest Baby

team-membar
Josema Cavanillas
Global Head of HCI Technology Consulting

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!

Billetterie Weezevent

Contact

team-membar
Damjan Damjanović

DigiHealth 23

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

Project Manager - DigiHealth 23

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