Improve diagnosis and develop a more personalized treatment approach thanks to Radiomics
The Alcimed healthcare team is continuously supporting healthcare players to get understanding of future technologies that will impact the cancer care pathway. One of these technologies is radiomics. We here explore questions around quality of life, earlier and better diagnosis, the prediction of treatment options and their success as well as the development of new biomarkers.
THE Challenges related to Radiomics
What is radiomics and what can it be used for?
Radiomics is a field of medical imaging that uses advanced mathematical algorithms to extract quantitative features from medical images such as computed tomography (CT), magnetic resonance (MR), or positron emission tomography (PET) images. The extracted data can then be analyzed to identify or model patterns and features that may not be visible to the human eye.
Radiomics can develop a predictive clinical model for diagnosis, treatment planning, and patient outcomes based on these quantitative features. Medical imaging data can also be used to identify new biomarkers for disease and to better understand the underlying biology of a cancer and other diseases, hence enabling personalized treatment approaches. It can be used in patients segmentation for clinical trials or treatment options or can be used as companion diagnostics too.
Radiomic is a rapidly growing field that has the potential to transform the field of medical imaging in many fields. Radiomics in oncology can provide a more personalized approach to diagnosis and treatment planning. However, the field is still in its early stages and much research is needed to fully understand its potential and limitations.
What are current and future issues in further developing radiomics in oncology?
Overall, radiomic has the potential to transform the pharmaceutical industry by providing new insights into disease biology and enabling the development of more targeted and personalized therapies. Artificial intelligence, deep learning or machine learning algorithms are based on medical images and are developed to detect the smallest incoherences in abnormal tumor cells. Which in turn allows not only for the clinical development of new biomarkers or drugs, but also enables better patient segmentation into clinical trials, or choose the correct treatment predicting success. Yet the technology is still an early one and we see several roadblocks ahead at least in complex diagnostic environments with high data variability. Some of these roadblocks can link to concerns regarding data sharing, the (often) heterogeneity of available features to develop and then integrate tools into practice and to make it applicable for all patients. In the same line a lack of multi-centric trials could negatively impact on reimbursement options later on.
How can we develop radiomic tools that allow a broader utilization across indications? How can we identify cross-disease patterns?
How can we ensure high quality real world medical imaging data as a base for radiomics development? What are the key success factors of a shared and collaborative health data lake?
How can we ensure high reimbursement of our radiomic tools? What are the alternative funding options for radiomics?
How do we support you in your QUESTIONS AND TOPICS AROUND RADIOMICS, NOTABLY RADIOMICS IN ONCOLOGY?
Radiomic is quite a new topic in healthcare, and we have seen new questions around radiomics for 5 years, in Oncology and outside Oncology. Interestingly, the field is simultaneously explored by public institutions, big pharmas, and some biotechs from healthtech. Our proximity and projects with all these players allow us to stay at the top-edge of the current developments, and to have a global and in-depth understanding of the issues addressed in the field of radiomic.
Our projects cover topics as diverse as new technologies, preparation of new clinical developments, the understanding of disease management and patients care pathways, identifying and studying potential partners to develop solutions around radiomics, launches of new assets, or the understanding of how real-life data can be collected and analyzed as well as to understand how patients data can be used to develop personalized cancer treatment offers.
EXAMPLES OF RECENT PROJECTS CARRIED OUT FOR OUR CLIENTS IN RADIOMICS
Our purpose? Helping both private and public decision-makers explore and develop their uncharted territories: new technologies, new offers, new geographies, possible futures, and new ways to innovate.
Located across eight offices around the world (France, Europe, Singapore and the United States), our team is made up of 220 highly-qualified, multicultural and passionate explorers, with a blended science/technology and business culture.
Our dream? To build a team of 1,000 explorers, to design tomorrow's world hand in hand with our clients.
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