OUR APPROACH AND CASE STUDIES

SugarStrings.ai’s approach in the application of genomics in medicine.

Genetic ailments are numerous, clinically heterogeneous, and challenging to diagnose. In India, more than 100 million individuals are affected by one of the 10,000 known genetic diseases. Many of these life-threatening conditions are preventable, and several are curable if promptly diagnosed.

What problem is SugarStrings.ai solving for doctors?

Genetic factors contribute to over 85% of diseases and can be challenging for doctors when they present with vague symptoms, and progressive affecting multiple organs. This often makes them difficult to diagnose or leads to cases of misdiagnoses.

The genetic testing industry in India is in its early stages and rapidly evolving. The lack of significant Indian-specific genomic data impacts results, compounded by unskilled professionals in labs, leading to poor test yield.

SugarStrings.ai is backed by the world’s first population-agnostic genetic testing model powered by AI and ML technologies to achieve the highest accuracy in diagnosing 10,000+ genetic conditions. The efficacy of this is clinically proven and adopted by doctors.

Case of difficult-to-diagnose scenarios

Genetics in Oncology and its impact

Dr. Rajasekhara Reddy, co-founder of SugarStrings.ai, and a distinguished geneticist with 15+ years in genomics, discusses the benefits of comprehensive testing in cancer treatments. SugarStrings has effectively leveraged this approach.