Precision Medicine
Precision Medicine - Related Videos
07:57
Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
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Cited by 65 •
2014
Accuracy is a major demand in dental medicine. To verify accuracy, reference scanners are needed. This article presents a new reference scanner with an adjusted scanning method to acquire a broad variety of dental morphologies with high trueness and precision.
08:39
Culture of Bladder Cancer Organoids as Precision Medicine Tools
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Cited by 4 •
2021
Patient-derived organoids (PDOs) are a powerful tool in translational cancer research, reflecting both the genetic and phenotypic heterogeneity of the disease and response to personalized anti-cancer therapies. Here, a consolidated protocol to generate human primary bladder cancer PDOs in preparation for the evaluation of phenotypic analyses and drug responses is detailed.
08:35
Primary Human Nasal Epithelial Cells: Biobanking in the Context of Precision Medicine
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Cited by 1 •
2022
Here we describe the isolation, amplification, and differentiation of primary human nasal epithelial (HNE) cells at the air-liquid interface and a biobanking protocol allowing to successfully freeze and then thaw amplified HNE. The protocol analyzes electrophysiological properties of differentiated HNE cells and CFTR-related chloride secretion correction upon different modulator treatments.
06:14
Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine
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2025
Here, we present a detailed protocol for automated tumor xenograft implantation into zebrafish larvae using a state-of-the-art robotic injection system. Furthermore, we present injection videos and validation data demonstrating the system's successful performance.
03:37
Uncertainty in Measurement: Accuracy and Precision
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2020
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Suppose a quality control...
FAQs
The approach links molecular features, including genetic variation, to observable health outcomes. These biological differences can help distinguish disease subtypes and clarify why particular patient groups may respond differently to an intervention. By connecting molecular mechanisms with clinical findings, precision medicine supports decisions that reflect underlying biology rather than relying only on broad disease categories.
Disease subtypes provide a way to organize patients according to meaningful biological differences. When a condition contains several molecularly distinct forms, identifying those forms can support prediction of treatment response and selection of interventions for particular groups. This biological classification may also help researchers design therapies for populations defined by shared molecular characteristics.
Genetic variation and molecular features do not represent the entire patient context. Precision medicine also considers environmental and lifestyle data alongside clinical information, allowing biological findings to be interpreted within a broader set of influences. This integration supports more individualized risk assessment and treatment decisions than molecular data considered in isolation.
Application begins by bringing together biological information, such as genetic variation and other molecular features, with clinical, environmental, and lifestyle data. These inputs can then be used to identify disease subtypes, estimate likely responses, and guide intervention selection. The combined dataset connects measurable biology with health outcomes and supports more informative clinical investigation.
Precision medicine is especially relevant when patients with the same broad condition may differ in biology or expected response. Its use can support treatment selection for particular patient groups and reduce reliance on interventions that are unlikely to help. In practice, the approach is also relevant to earlier risk assessment when biological and clinical differences provide useful predictive information.
The approach can make clinical research more informative by organizing participants according to biologically defined populations rather than treating all patients as interchangeable. Researchers can examine disease subtypes, response patterns, and molecular features together, while therapy development can focus on interventions designed for specific groups. This links experimental findings more closely to biologically meaningful patient outcomes.