Improving personalised interventions targeting chronic respiratory diseases
At Kaul Lab, we develop computational, experimental, and analytical platform technologies to improve personalised interventions targeting chronic respiratory diseases.
Precision Medicine is a promising strategy to tackle lung diseases. However, reliable and standardised delivery of precision medicine requires a systems-level understanding of the underlying pathology, often at the individual patient level.
In the context of lung diseases, this means that we need to understand how pathological gene interactions (subcellular-level) lead to poor lung function (organ-level). There is no framework currently to link these scales.
Thus, the mechanisms responsible for the emergence of these diseases, particularly at the individual level, remain elusive. The lab’s overarching goal is to develop novel platform technologies to bridge this crucial gap.
We integrate cell culture methods, patient explant cultures, and clinical trial data with computational models to understand how pathological gene activity leads to lung diseases. We specifically focus on Asthma and Chronic Obstructive Pulmonary Disease (COPD).
Integrate mathematical approaches of different classes to develop computational models that link phenomena across multiple scales of space and time
Engineer airway organoids and use them to validate predictions made by the multiscale computational models
Use imaging, flow-cytometry, and sequencing to evaluate organoid performance and validate computationally-derived predictions
Create digital patients by entering relevant patient features in the multiscale computational model to understand pathogenesis at the individual level
Conduct in silico clinical trials on digital patients (and control subjects) and compare outcome against real clinical trials
Integrate mathematical approaches of different classes to develop computational models that link phenomena across multiple scales of space and time
The projects aims to create digital patient avatars using patient details to make clinically relevant, patient-specific predictions to help tailor therapies based on the patients' profile
Develop a protocol for airway organoids using patient-derived cells. The organoids will help test hypotheses generated by the multiscale model
The project aims to simulate virtual clinical trials with virtual patients generated above and comparing simulation output against actual clinical trial data
Kaul lab comprises motivated individuals who are committed to contributing to an equitable society through our science and actions.
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