Swiss Medical Network has appointed Professor Lana Kandalaft as its new Chief of Clinical and Translational Research. In this interview, Professor Kandalaft talks about what translational research means, her day-to-day work and why this area of research is so important for patients.
Translational research bridges the gap between discoveries in the laboratory and applied medical treatments in the real world. It focuses on transforming fundamental scientific discoveries, such as new biological mechanisms or molecules, into clinical applications such as drugs, therapies or medical devices. This process often involves conducting clinical trials to ensure the safety and efficacy of these innovations before they are adopted into everyday healthcare.
Recent innovations in translational research have had a direct impact on patient care, particularly in the fields of cancer treatment and gene therapy. Immunotherapies, such as checkpoint inhibitors and CAR-T therapy, have revolutionised cancer treatment by harnessing patients' immune systems to target cancer cells, offering more effective and personalised options. Similarly, precision medicine, based on genomic analysis, makes it possible to tailor treatments to specific genetic mutations, as in certain lung cancers with targeted therapies.
Another major advance is the development of mRNA vaccines, such as those against COVID-19, which have been created in record time and have considerably reduced the spread of the virus. mRNA technology also offers prospects for other diseases such as cancer. These advances show how translational research accelerates the transition from scientific discoveries to concrete medical applications.
The main challenges to advancing translational research today include the complexity of diseases, the high cost of clinical trials and regulatory constraints. Many diseases, such as cancer or neurodegenerative diseases, are biologically complex, which makes it difficult to transform discoveries into effective treatments. In addition, clinical trials are expensive and require considerable resources, which can pose a funding problem. Finally, strict regulations, while necessary to ensure patient safety, can delay the transition from scientific discovery to clinical application.
On the other hand, the opportunities are also significant. Technological advances, such as genomics, artificial intelligence and gene editing, are accelerating research by providing more precise tools for understanding diseases and developing targeted therapies. The rise of precision medicine also represents a key opportunity, making it possible to personalise treatments according to patients' genetic profiles. Finally, interdisciplinary collaboration between researchers, clinicians and the pharmaceutical industry strengthens the rapid transfer of innovations to clinical care, facilitating the direct impact on patient health.
Technology, in particular artificial intelligence (AI) and data analysis, significantly improves translational research by accelerating discoveries and optimising clinical applications. Massive data analysis helps researchers identify disease mechanisms and therapeutic targets by revealing patterns in vast datasets.
AI simplifies tasks such as drug discovery, medical image analysis and clinical trial design, making it easier to predict the most effective treatments. In addition, these technologies improve the management of clinical trials by enabling real-time monitoring and adaptive protocols, speeding up the development and implementation of new therapies. AI is also essential for personalised medicine and the advancement of personalised cell therapies.
To contribute effectively to translational research, healthcare professionals need to acquire solid training in clinical and translational research, while remaining open to continuous learning. It is crucial to collaborate with interdisciplinary teams, including researchers, clinicians and technology experts, to encourage the exchange of ideas and skills. Mastering emerging technologies, such as artificial intelligence and genomic data analysis, is also essential for contributing to innovation and personalised medicine.
Finally, remaining curious and keeping a close eye on scientific and technological advances enables us to play an active role in transforming discoveries into concrete treatments for patients. With what we are building, we hope to provide the expertise needed to help doctors, who are often very busy taking care of their patients, to participate in clinical and translational research. By putting in place a solid infrastructure and a dedicated research team, we aim to simplify the process, enabling doctors to contribute without worrying about the administrative burdens and complexities that often accompany research. This will allow them to focus on patient care while playing an active role in advancing medical innovations and improving treatments through their participation in research initiatives.