What if a CT scan isn't just a picture - but a quantitative map of human biology?
For decades, medical imaging has largely been interpreted by human eyes. But advances in AI and quantitative imaging are changing that paradigm, allowing researchers to extract increasingly detailed measurements of anatomy, disease burden and treatment response from medical images.
On this episode of
@ProgressPotent1, I'm joined by Dr. Susan Wood, Ph.D. President & CEO of VIDA Intelligence -
@vidalung - who has spent more than 25 years at the intersection of medical imaging, AI and clinical technology.
Dr. Wood's own scientific journey began with her Ph.D. research at
@JohnsHopkins where she used high-resolution CT imaging to quantify three-dimensional lung structure and relate those measurements to lung function.
Today, VIDA is applying quantitative imaging and AI to pulmonary disease and clinical trials - including work supporting
@AstraZeneca and their COPD development program.
We talk about:
🔹 Why COPD is much more heterogeneous than conventional lung-function tests can reveal;
🔹 How AI can quantify emphysema, airways, lung structure and other features of disease;
🔹 The enormous challenge of standardizing CT imaging across hundreds of clinical-trial sites;
🔹 Why differences in scanners, protocols and patient breathing can create misleading measurements;
🔹 How imaging can become a source of digital biomarkers rather than simply diagnostic pictures;
🔹 What quantitative imaging can reveal about COPD that traditional clinical endpoints may not;
🔹 The role of imaging in AstraZeneca's OBERON and TITANIA COPD trials;
🔹 The emerging science of measuring mucus plugging and other structural features of COPD;
🔹 How researchers determine whether an AI-derived measurement is actually biologically meaningful;
🔹 And whether imaging biomarkers could eventually change how we design, conduct and evaluate clinical trials;
The bigger question may be even more profound:
What becomes possible when we stop thinking of medical images as pictures - and start thinking of them as data about human biology?
#AI #MedicalImaging #COPD #DigitalBiomarkers #ClinicalTrials #DrugDevelopment #PrecisionMedicine #HealthcareInnovation #VIDAIntelligence @julesany