Integrating Digital Twins in Clinical Trials for Enhanced Cancer Care

By Michael Awood

August 31, 2023

Altis Labs, Inc. (Altis), an innovative computational imaging firm, spearheads a worldwide coalition to push for the use of digital twins in clinical trials. This group aims to change the clinical trial design, speed up timelines, and lower failure rates for new cancer treatments.

Digital twins, or virtual replicas of physical systems, enable real-time monitoring and manipulation. In healthcare, professionals use them to simulate patient responses to treatments.

AstraZeneca and Bayer Pharmaceuticals apply these predictions to refine statistical analyses. This enhances treatment assessment accuracy and speeds up candidate prioritisation. Altis’ flagship platform, Nota, helps biopharma sponsors analyse imaging data from ongoing and past trials using AI models. These models forecast disease progression for patients, forming a virtual control group of digital twins. The project has been met with great excitement as it leverages AI tools to improve patient outcomes while building on Altis’ success in developing a substantial cancer imaging database.

AstraZeneca and Bayer Pharmaceuticals, as early adopters, have exclusive access to AI models through Nota for four clinical trials. DIGITAL, Canada’s top Innovation Cluster for digital technologies, backs this $5.7 million project.

The transformative potential of AI-based digital twins to provide insights beyond traditional tumour measurements is clear, reinforcing the crucial role of clinical trials. This initiative, merging Canada’s AI capabilities and healthcare systems, plays a significant role in adopting clinical research tools. The ultimate aim is to revolutionise therapeutic development and enhance the quality and accessibility of cancer care in Canada.

Reference url

Recent Posts

delpacibart braxlosiran FSHD
Delpacibart Braxlosiran FSHD Shows Promise in Disease Modification

By João L. Carapinha

June 11, 2026

Novartis has achieved a key clinical milestone with delpacibart braxlosiran FSHD, as its FORTITUDE biomarker cohort successfully met the primary endpoint by substantially suppressing DUX4-driven gene expression and reducing muscle damage markers in patients with facioscapulohumeral muscular dystr...
athlete risk stratification
Advancing Athlete Risk Stratification with Predictive Frameworks

By João L. Carapinha

June 11, 2026

Athlete risk stratification now integrates epidemiological evidence, explainable artificial intelligence, and mechanistic cardiac models to better protect young competitors. This convergence offers a path to distinguish healthy athletic remodeling from hidden substrates that can trigger fatal arr...
Innovative Therapies Access Portugal
Evaluating Innovative Therapies Access in Portugal

By João L. Carapinha

June 11, 2026

According to Paulo Gonçalves in the APIFARMA newsletter, Innovative Therapies Access in Portugal directs resources toward therapeutic innovation at levels substantially below feasible ambitions. Protracted authorization processes impose measurab...