Guwahati: A research team at the Indian Institute of Technology, Guwahati (IIT-G), in collaboration with leading global institutions, has developed a multi-stage clinical trial method designed to revolutionise personalised medical care. The innovative approach adjusts treatment strategies in real-time based on patient responses, paving the way for highly customised and effective healthcare solutions.
Enhancing Personalised Medicine Through Dynamic Treatment Regimes (DTRs)
The research, conducted in partnership with Duke-NUS Medical School, the National University of Singapore, and the University of Michigan, USA, focuses on Dynamic Treatment Regimes (DTRs) designed using Sequential Multiple Assignment Randomised Trials (SMARTs). This framework addresses a key challenge in medical research by optimising treatment strategies for patients with varying responses to therapy over time.
DTRs offer patient-specific decision rules, adjusting treatments dynamically based on evolving health conditions. For instance, if a diabetes patient does not respond effectively to an initial medication, the system recommends switching drugs or combining therapies. By incorporating intermediate outcomes, such as fluctuations in blood sugar levels, DTRs provide a more responsive and tailored healthcare model compared to traditional trial approaches.
A New Approach to Multi-Stage Clinical Trials
Unlike conventional clinical trials, which follow a one-size-fits-all approach, SMART trials assign patients to different treatment arms across multiple stages based on their responses. However, existing SMART methodologies allocate patients equally to treatment arms, even when some therapies prove less effective, leading to unnecessary treatment failures.
To overcome this challenge, Dr. Palash Ghosh, Assistant Professor, Department of Mathematics, IIT Guwahati, and his team at IIT Guwahati have developed an adaptive randomisation method. This method dynamically assigns patients to treatment arms based on real-time data, adjusting allocation ratios in favour of better-performing treatments as the trial progresses. This ensures that more patients receive effective treatments while maintaining scientific integrity.
Improving Patient Engagement and Public Health Interventions
Highlighting the significance of the research, Dr. Ghosh noted that adaptive trial designs encourage greater patient participation. When individuals see they are receiving treatments specifically tailored to their needs, they are more likely to stay engaged in clinical trials.
Future Collaborations
As the next step, the research team is collaborating with Indian medical institutions to conduct SMART trials focused on mental health management using traditional Indian medicines. This initiative aims to integrate adaptive clinical trial methods into holistic healthcare solutions, further advancing personalised medical care. This research marks a major step toward patient-centric healthcare and has the potential to transform public health strategies worldwide.
