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December 5, 2024 – Last week, our institute hosted Rehabilitation Medicine Research and Innovation: Science, Healthcare Industry, Philanthropy (SHIP) – The Alliance.

 

The event consisted of two days of scientific discussions, bringing together neuroscientists, physicians, bioengineers, and managers from around the globe, including different countries from Europe, North America and the Middle East.

The first day was dedicated to clinical practice, featuring workshops that covered fundamental topics such as movement analysis, robotic treatment of the upper and lower limbs, neuromodulation, and the use of ultrasound for optimizing robotic and pharmacological interventions.

The second day of the event, organized with the support of Fondazione Cariplo, particularly highlighted the role of philanthropy as a catalyst for ongoing high-level scientific research aimed at developing technologies that benefit individuals and the community.

Alongside our Scientific Director, Dr. Franco Molteni, we distilled the 10 most significant insights that emerged from all these discussions.

1. Rehabilitation Medicine is evolving into a complex science that relies heavily on technology. Both rehabilitation medicine and the technology sector possess significant potential for future development. It is essential for researchers and innovators to collaborate, aiming to transform technological advancements into services and new care options for individuals.

2. The widespread participation of industries, startups, and innovation hubs in both the pharmaceutical and technology sectors demonstrates the significant potential for growth in this field.

3. Rehabilitation Medicine requires a unified approach, grounded in two key elements: a technologically advanced vision and the capacity to engage in everyday life.

4. In this revolutionary phase of transition and transformation, the alliance between the realms of science, industry, and philanthropy is essential to ensure a balanced development that harmonizes the interests of industry with those of civil society.

5. Extreme technologies, such as brain and spinal implants, hold immense value for humanity. They do not diminish a person’s ability to make decisions; rather, they enhance the capacity to translate intentions into actions. Our goal is not to create a superhuman, but to support a simple human being who retains their identity through technology.

6. Artificial Intelligence is crucial for the advancement of neurorehabilitative treatments. However, it can also be a double-edged sword. When utilized effectively, it can enhance the personalization of treatments by distinguishing between the best and worst responders. Conversely, if it is not properly trained, it may lead to significant errors during the diagnostic phase.

7. While there are several Italian hubs to be proud of, we must embrace a mindset of international collaboration to develop a sector that demands significant effort, achievable only through the collective commitment of all stakeholders. Diverse perspectives are essential, as they can address the various cultural nuances that Rehabilitation Medicine encounters in different geographical contexts, given that the environment and lifestyle habits greatly influence human functioning.

8. The patient prefers not to be at the center of care activities but rather to be alongside individuals who are knowledgeable about their needs. On a broader scale, the networks we have discussed illustrate the importance of mutual support, with each person contributing their unique strengths.

9. One of the most delicate issues to address is access to care, which should be as comprehensive as possible. It is also essential to consider the role of caregivers, who, due to their constant involvement in care activities, have a significant social impact.

10. To enhance our understanding of Rehabilitation Medicine, it is essential to gather data that can be shared, analyzed, and transformed into actionable information throughartificial intelligence algorithms. This process relies on experts who are skilled in utilizing the AI tools available today and those that will emerge in the future.