Significant impact of physics on modern medicine since the discovery of X-rays in the 19th century.
Advanced techniques and technologies in hospitals for disease diagnosis and treatment (e.g., radiotherapy, MRI, PET imaging).
Many state-of-the-art technologies developed for particle physics research and applied in healthcare.
Particle accelerators and detectors are foundational in both research and medical applications.
Accelerators used in radiotherapy devices.
PET scanners equipped with photon detectors.
Computer simulations modeling particle interactions with biological tissues.
Growing interest in AI techniques within the healthcare sector.
Personalized medicine driving the need for data analytics techniques developed in particle physics.
Difficulty in understanding technology transfer processes from particle physics to medical applications.
Indirect and complex impact of basic research on the medtech market.
Basic research often leads to significant technological breakthroughs that have unintended medical applications.
MRI technology evolved due to demand for niobium-titanium magnets from particle physics needs.
Fermilab's large-scale purchase and collaboration with manufacturers allowed for the development of strong magnets now used in MRI scanners.
PET scanners exemplify the synergy between particle physics detectors and medical imaging technologies.
Development of advanced photon-sensitive detectors at Stanford Linear Accelerator Center and CERN pioneering PET scanner technology.
Medipix3 chip developed for LHC experiments applied to spectral computed tomography imaging (color X-ray imaging).
Medipix3 led to the creation of MARS Bioimaging Ltd., resulting in the first 3D color X-ray images in 2018.
International collaborations promote technology adaptation across fields.
Geant4 computing simulation toolkit used in various applications, including space radiation studies.
CERN actively transfers its technologies outside particle physics since 1954.
Notable example: Creation of the World Wide Web by Tim Berners-Lee in 1989.
Knowledge transfer, through individual research efforts, began around the 1970s.
Georges Charpak's detector envisioned for particle physics had significant applications in medicine.
David Townsend and Alan Jeavons advanced PET imaging technology at CERN in collaboration with other institutions.
Major contributions made to the early development of PET technology.
Crystal Clear and Medipix collaborations aimed at detector development and healthcare applications.
Ensure successful technology transfer from R&D to end-users through partnerships.
CERN funds basic research and cannot operate as an applied laboratory.
Industries must take CERN technologies to the market, balancing funding and innovation timelines.
Need to evaluate market needs and healthcare feedback when developing technologies.
Critical for particle physics community to engage with medical professionals to tailor technologies to end-user needs.
Data analytics and machine learning competencies at CERN are essential but require adaptation for medical applications.
Early career scientists often transition to industry or entrepreneurship after CERN tenure.
Growth of start-ups and spin-offs utilizing CERN technologies.
CERN supports entrepreneurs through Business Incubation Centers providing resources for technology market entry.
Events like the CERN Medical Technology Hackathon address real-world healthcare problems.
Engagement of students to explore practical applications of CERN’s research in medicine.
Particle physics research leads to significant technological advancements applicable in medicine.
Importance of adapting CERN technologies to fulfill actual market needs for a successful impact in the healthcare sector.
Ongoing efforts at CERN to enhance knowledge transfer processes, ensuring societal benefits from fundamental research.