Akshaisarathi is driven by a highly committed and motivated team of experts dedicated towards multidisciplinary healthcare innovations. Our team includes Medical consultants, IT professionals, Data analysts, Pharmaceutical chemists, and Biotechnologists, all working together to transform the approach toward personalized (precision) medicine.

With a cumulative experience of over 200 years, our initiatives are spearheaded by a seasoned pharmacologist with more than 30 years of experience. We are set to introduce pathbreaking innovations that will revolutionize healthcare, significantly reducing costs for both governments and patients.

Our strength lies in our flexible approach, tailored to meet the healthcare needs of diverse communities, taking into account geographic, ethnic, and financial landscapes.

• Collaborative Partnerships: Engaging with top academic and healthcare organizations.
• Research Advancement: Accessing cutting-edge scientific and technological resources.
• Innovative Solutions: Developing validated and efficient healthcare treatments.

• AkshaisarathiVig 2 and 4: These state-of-the-art bedside therapeutic drug monitoring tools are specifically designed to manage multidrug-resistant tuberculosis. By providing real-time, accurate drug monitoring, these tools play a crucial role in the effective treatment and management of this challenging condition.

• AkshAIsarathi: This innovative web-based AI tool predicts the likelihood of multidrug resistance, significantly reducing both the death rate and morbidity associated with tuberculosis. By leveraging artificial intelligence, Akshaisarathi helps tailor treatment plans to individual patient needs, ensuring a more effective approach to combating tuberculosis.

AI-based solutions in precision medicine are designed to enhance their effectiveness and usability through the incorporation of unique features, including:

• Machine Learning Models: These models utilize machine learning algorithms to continuously improve the accuracy and performance of the AI system.
• Decision Support Tools: These tools are developed to assist healthcare providers in making informed decisions about patient care.
• Integration with Electronic Health Records: This ensures seamless integration with existing healthcare systems to facilitate data sharing and collaboration.