How Multiplex Cell Culture Technology Can Enhance Personalized Medicine and Improve Healthcare Efficiency?

Speaker(s)

Qureshi T1, Redekop K2, Vandekerckhove P3
1Erasmus University Rotterdam, Rotterdam, ZH, Netherlands, 2Erasmus University Rotterdam, Rotterdam, Zuid Holland, Netherlands, 3TU DELFT, P.b.m.vandekerckhove@tudelft.nl, Belgium

OBJECTIVES: Current treatment strategies often rely on standardized medicine, ignoring genetic variability regarding disease susceptibility or treatment responses. Neglecting genetic variability can lead to misdiagnosis, treatment failure, and ineffective drug reimbursement, worsening patient health and burdening healthcare.

Advancements in population genetics studies highlight genetic diversity. The conventional cell cultures are performed using cells only from a few individuals because they require extensive experiments for large scale studies. Multiplex cell culture technology (MCCT) utilizes cells from numerous individuals in a single experiment to study their disease risk, development, progression, and determine appropriate treatments based on their genetic profiles.

Our objective is to identify applications of MCCT and explore their impact on personalized medicine and healthcare economics.

METHODS: We performed literature reviews and organized collaborative design sessions with various stakeholders (clinicians, biomedical scientists, bioinformaticians and entrepreneurs).

RESULTS: Several applications of MCCT were identified in the domains of drug development, studies on disease onset and progression, and individual risk to environmental hazards. These applications can enhance the current treatment regimen, diagnosis and preventive care. For example, using MCCT in drug development can shorten the clinical trials by identifying the patients’ subgroup likely to respond to a particular treatment and also help health technology assessment regulators to make decisions about drug reimbursement policies for that subgroup.

CONCLUSIONS: The initial insights of MCCT demonstrate its huge potential to supercharge efforts in personalized medicine by identifying individual disease risks and appropriate treatments promptly and efficiently. The future prospect of combining this technology with computational drug discovery tools could enhance the understanding of diseases lacking comprehensive models, such as Osteoarthritis, leading to faster and more accurate treatment availability.

Code

MT70

Topic

Health Policy & Regulatory, Medical Technologies

Topic Subcategory

Diagnostics & Imaging, Reimbursement & Access Policy

Disease

Drugs, Genetic, Regenerative & Curative Therapies