Belgian startup Salvus Health raises €500K to enhance pharmacy services - Related to secures, ai:, presymptom, belgian, physical
Belgian startup Salvus Health raises €500K to enhance pharmacy services
Belgian platform for pharmacists Salvus Health has raised €500,000 to improve patient services. With its smart service platform, Salvus Health helps pharmacists streamline their operations and advanced assist their patients.
Belgian startup Salvus Health has raised €500,000 for its smart service platform for pharmacists.
Salvus Health helps pharmacists reclaim time and refocus on their advisory role.
The platform automates repetitive tasks. Such as scheduling appointments and sending reminders. Its integrated CRM system enables more targeted communication with patients—whether it’s displaying inhaler usage instructions on a tablet or tracking medication adherence. Further, the software integrates seamlessly with third-party platforms.
The Antwerp- based startup was founded in 2020 by biomedical engineer Philip Van den Bergh and. Catalan serial entrepreneur Salvador Severich. Salvus now has 150 pharmacists as clients, serving around 100,000 active patients.
“Pharmacists have valuable expertise and play a crucial role in society due to their proximity to patients,” explains Philip Van den Bergh, co-founder of Salvus Health.
“European governments recognise their importance and. Support them by reimbursing services such as vaccinations and medical consultations. However, in practice, pharmacists often lack the time to take on these additional responsibilities alongside their daily tasks. Some vaccinate up to 1,500 patients in just two months. On top of that, many still rely on outdated software and struggle to fill job vacancies, which only increases their workload.”.
Salvus Health already serves over 150 pharmacies and. Approximately 100,000 active patients. Last year alone, 50,000 vaccination appointments were booked through the platform.
Participants in the fundraising round are Georges Verpraet (pharmacy. brussels), Yves Berquin (Matrix Requirements), Jurgen De Baerdemaeker (IQVIA), and Angelwise.
“We wanted to bring in sector experts such as Georges Verpraet (pharmacy. brussels), Yves Berquin (Matrix Requirements), and Jurgen De Baerdemaeker (IQVIA),” says Salvador Severich. “At the same time, the market is evolving rapidly. That’s why we’re looking to hire commercial and marketing professionals to seize new opportunities.”.
In the short term. Salvus Health aims for a 20 per cent market share among Belgium’s 4,500 pharmacies. The corporation plans to expand into neighbouring European countries in the medium term. With around 160,000 pharmacies across Europe, the growth potential is significant.
Lead image: Salvus Health. Photo: uncredited.
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The release of ChatGPT by OpenAI in November 2022 marked another significant milestone in the evolution of AI. ChatGPT, a large language model capable of generating human-like text, demonstrated the potential of AI to understand and generate natural language. This capability opened up new possibilities for AI applications, from customer service to content creation. The world responded to ChatGPT with a mix of awe and excitement, recognizing the potential of AI to transform how humans communicate and interact with technology to enhance our lives.
Today. The rise of agentic AI — systems capable of advanced reasoning and task execution — is revolutionizing the way organizations operate. Agentic AI systems are designed to pursue complex goals with autonomy and predictability. They are productivity enablers that can effectively incorporate humans in the loop via the use of multi-modality. These systems can take goal-directed actions with minimal human oversight, make contextual decisions, and dynamically adjust plans based on changing conditions.
Microsoft and NVIDIA are at the forefront of developing and deploying agentic AI systems. Providing the necessary infrastructure and tools to enable advanced capabilities such as:
Azure AI services: Microsoft Azure AI services have been instrumental in creating agentic AI systems. For instance, the Azure AI Foundry and Azure OpenAI Service provide the foundational tools for building AI agents that can autonomously perceive, decide. And act in pursuit of specific goals. These services enable the development of AI systems that go beyond simple task execution to more complex, multi-step processes.
AI agents and agentic AI systems: Microsoft has developed various AI agents that automate and. Execute business processes, working alongside or on behalf of individuals and organizations. These agents, accessible via Microsoft Copilot Studio, Azure AI, or GitHub, are designed to autonomously perceive, decide, and act, adapting to new circumstances and conditions. For example, the mobile data recorder (MDR) copilot at BMW, powered by Azure AI, allows engineers to chat with the interface using natural language, converting conversations into technical insights.
Multi-agent systems: Microsoft's research and. Development in multi-agent AI systems have led to the creation of modular, collaborative agents that can dynamically adapt to different tasks. These systems are designed to work together seamlessly, enhancing overall performance and efficiency. For example, Magnetic-One, a high-performance generalist agentic system, is designed to solve open-ended tasks across various domains, representing a significant advancement in agent technology.
Collaboration with NVIDIA: Microsoft and. NVIDIA have collaborated deeply across the entire technology stack, including Azure accelerated instances equipped with NVIDIA GPUs. This enables customers to develop agentic AI applications by leveraging NVIDIA GPUs alongside NVIDIA NIM models and NeMo microservices across their selected Azure services, such as Azure Machine Learning. Azure Kubernetes Service, or Azure Virtual Machines. Furthermore, NVIDIA NeMo microservices offer capabilities to support the creation and ongoing enhancement of agentic AI applications.
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Presymptom Health secures £200K for fast infection detection technology
UK medtech Presymptom Health has secured £200,000 in additional grant funding to speed up its AI-driven infection detection technology, cutting test times to just 40-60 minutes.
Presymptom Health was established to exploit IP developed by scientists working at the UK Defence Science & Technologies Laboratory (Dstl), initially researching how to tackle biological threat infection, such as anthrax, plague and Ebola.
Presymptom’s InfectiClear technology can detect infection up to three days earlier than current methods by analysing the body’s RNA-based response, rather than searching for the pathogen itself.
Trained and validated on 15 years’ worth of patient data, the AI-driven test ensures that doctors can correctly detect the presence, or lack, of infection, at the earliest possible opportunity.
Additionally, this approach provides an early, highly sensitive signal for infection or sepsis and avoids the delays and inaccuracies often seen with traditional tests. Which can lead to unnecessary or incorrect treatments.
, CEO of Presymptom Health, identifying infections quickly and accurately is critical – not just for saving lives, but for ensuring antibiotics are only used when absolutely necessary.
“The NHS (and most hospitals around the world) relies on a variety of PCR platforms from different manufacturers, which can make rolling out new diagnostic tests a challenge.
By ensuring our technology is broadly compatible across multiple platforms, we’re making it easier for hospitals to adopt faster, more accurate infection detection. Whether tests are run at the point of care by nurses or in labs by technicians, this flexibility means advanced diagnoses for all patients. Ultimately, this will improve patient outcomes while also helping the fight against antimicrobial resistance."
£100K in funding from the National Institute for Health and. Care Research (NIHR) Grant will enable Presymptom to make its technology compatible with the PCR platform manufactured by QuantuMDx. The QuantuMDx platform can deliver results in 40 minutes and tests will be available at the point of care.
£100K from the Small Business Research Initiative (SBRI) Healthcare Grant will help Presymptom Health make its technology compatible with the Mic PCR platform manufactured by Bio Molecular Systems (BMS). Which is widely used across the NHS. Tests run on the BMS platforms can potentially deliver results in under one hour when undertaken in the lab.
Building on these developments, this new funding will also help ensure that the NHS can make best use of existing PCR machines, many of which have been underutilised since the peak of the COVID-19 pandemic.
As part of the SBRI grant, Presymptom will run a six-month feasibility project alongside Health Innovation Oxford and Thames Valley (HIOTV), to understand barriers to entry and. The best approach for the NHS adopting this new technology.
Presymptom Health’s InfectiClear technology has shown great promise in recent clinical trials, with early results showing that the product may have more than 95 per cent accuracy at ruling out lower respiratory tract infection, a significant improvement over the standard of care. The full results will be made available later this year.
Lead image: Presymptom Health. Photo: uncredited.
Belgian platform for pharmacists Salvus Health has raised €500,000 to improve patient services. With its smart service platform, Salvus Health helps p...
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Market Impact Analysis
Market Growth Trend
| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| 12.0% | 14.4% | 15.2% | 16.8% | 17.8% | 18.3% | 18.5% |
Quarterly Growth Rate
| Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
|---|---|---|---|
| 16.8% | 17.5% | 18.2% | 18.5% |
Market Segments and Growth Drivers
| Segment | Market Share | Growth Rate |
|---|---|---|
| Digital Transformation | 31% | 22.5% |
| IoT Solutions | 24% | 19.8% |
| Blockchain | 13% | 24.9% |
| AR/VR Applications | 18% | 29.5% |
| Other Innovations | 14% | 15.7% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
| Company | Market Share |
|---|---|
| Amazon Web Services | 16.3% |
| Microsoft Azure | 14.7% |
| Google Cloud | 9.8% |
| IBM Digital | 8.5% |
| Salesforce | 7.9% |
Future Outlook and Predictions
The Health Belgian Startup landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the digital innovation sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing digital innovation challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of digital innovation evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
| Factor | Optimistic | Base Case | Conservative |
|---|---|---|---|
| Implementation Timeline | Accelerated | Steady | Delayed |
| Market Adoption | Widespread | Selective | Limited |
| Technology Evolution | Rapid | Progressive | Incremental |
| Regulatory Environment | Supportive | Balanced | Restrictive |
| Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.
platform intermediate
IoT intermediate
API beginner
How APIs enable communication between different software systemsmicroservices intermediate
interface intermediate
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