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
Conference dedicated to Bio, Med, Pharma 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!
A Sustainable Future for Learning AI in Healthcare - by Dimitrios Kalogeropoulos, Chief Executive, Global Health & Digital Innovation Foundation9:15-10:00
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.
How may AI help you? - Healthcare - by Ligia Kornowska, Leader, AI in Health Coalition10:00-10:30
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, Atos10:30-11:00
AI and Blockchain Framework for Healthcare Applications - By Muthu Ramachandran Research Consultant and Visiting Professor, AI Tech and Forti5 Tech11:30-12:00
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, TomTom12:00-12:30
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.
Future Trends in AI-Enhanced Healthcare: Insights from Industry and Academic Thought Leaders.
Mohamed Ramzi, Ognjen Milicevic, Nevena Veljkovic, Nebojsa Sabovic12:30-13:15
Machine Learning Techniques for Omics Data Analysis - by Vesna Pajic, Bioinformatics Scientist, Velsera14:45-15:30
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, HTEC15:30-16:00
TBA - by Branka Zukic16:00-16:30
Network neuroscience: where the brain and social networks works the same - by Ilya Zakharov, Senior researcher, Brainify.AI17:00-17:30
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 Healthly17:30-18:00
TBA - by Anja Baresic, Rudjer Boskovic Institute9:15-10:00
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 Pharmacy10:00-10:30
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 Penkov10:30-11:00
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.
TBA - by Milos Todorovic, Founder, Ovio Care11:30-12:00
TBA - by Uros Vilmanovic, Director, Clinical data Operations12:00-12:30
TBA - by Vladimir Brusic, Professor in Computer Science, University of Nottingham Ningbo China12:30-13:15
TBA - by Tomislav Krizan, CEO, Attomic Intelligence14:30-15:00
Use-case: Using a data-driven approach in treating a serious medical condition - by Goran Dumic, Principal consultant, Syntio15:00-15:30
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.
Computer Vision in Melanoma Detection - by Djordje Hirs, Data Science Manager, Yettel16:00-16:30
Application of AI in early melanoma detection
University of Belgrade / Happiest Baby
EXACT BYTE d.o.o.
Florida International University
Stada IT Solution
Project Manager - DigiHealth 23